Research And Development Engineer jobs at RadianceTechnologies - 3159 jobs

AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are used to power today's AI workloads in datacenters all around the world. As a Sr. SoC Power Engineer, you'll contribute to the project at the ground level by modeling and estimating power at every stage of the design from early RTL to final netlist and by driving ways to reduce power consumption of our machine learning accelerators. We're searching for an experienced SoC Power engineer with a background in Power analysis with a proven track record of handling challenges at scale. In this role, you'll be working directly with architects, designers, verification engineers, software teams, and Physical Design experts - defining best practices to reduce power and model power consumption with high accuracy. Key job responsibilities - Responsible for full chip power analysis & modelling at various stages of design (RTL to gate level netlist) - Develop and maintain dashboards for power rollups - Work with designers, architects, Verification engineers and Physical Design engineers to develop vectors for IR analysis, Thermal analysis and power estimation - Give feedback to designers and architects on how to reduce power - Make power measurements in the lab and correlate back to simulations. - Work with Emulation engineers to model chip-level power consumption A day in the life Depending on the state of the project, you may find yourself working on the following: - Working with designers, architects and verification engineers to come up with worst-case vectors for power analysis or IR analysis - Root cause causes of low annotation or low switching coverage with vectors - Develop & maintain dashboards to track power consumption - Run tools like Power Artist to identify power saving opportunities and feed these back to the design team. - Work with emulation engineers to model chip level power consumption and correlate with simulation - Do post-silicon power measurements and correlate with simulation. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering - BS + 6yrs or MS + 5yrs or PhD + 3yr in EE/CS - Expert on power analysis tools like PrimePower, PowerArtist or similar - Ability to give feedback to RTL designers and Physical Designers on how to reduce power - Highly proficient with scripting language (Tcl, Perl, Python or similar) - Good understanding of Physical Design, EM/IR, Power Integrity, and Thermal at the die, package, board, and server level - Understanding of lab equipment use and capable of doing lab power analysis - Knowledge of deep circuit-level chip power PREFERRED QUALIFICATIONS - Familiarity with Make or similar for automation of power rollups - Experience with RTL design (System verilog) - Familiarity with EMIR analysis tools (Redhawk / Voltus) - Experience with Zebu Emulator platform Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Agentic AI Machine Learning Engineer The Opportunity As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data to seamlessly scale with infrastructure based on system usage and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors. On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments. Ready to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization? Join us. The world can't wait. You Have 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving Large Language Models (LLMs), agents, or complex automation frameworks 3+ years of experience working within data science or data research in a professional or academic environment and training or deploying models across multiple modalities of data 3+ years of experience working in cloud environments, including AWS and Azure 2+ years of experience deploying and integrating production-grade ML models using tools such as Docker and Kubernetes Experience with LLMs, Deep Learning (DL), and Reinforcement Learning (RL) and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex Experience connecting Agents to APIs, Cloud platforms, or databases Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use Experience with MLOps, GitOps, and CI/CD tooling Secret clearance Bachelor's degree Nice If You Have Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM Experience with client engagements, client-facing project work, and business development Experience with project work in deep learning, computer vision, NLP, or signal processing Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services Ability to adapt in a rapidly changing environment Possession of excellent verbal and written communication skills Possession of excellent interpersonal, analytical, problem-solving, and organizational skills TS/SCI clearance Master's degree Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr

Cyber Machine Learning Engineer Key Role Build, train, and package production-ready models to detect advanced persistent threats and anomalous or suspicious activity. Implement model performance observability to monitor and mitigate data drift, false positives, and resource utilization. Identify new opportunities for effective applications of machine learning to unique cyber defense use cases. Keep aware of latest research in machine learning and cybersecurity, and demonstrate a history of intellectual curiosity, as the problems we solve require creative solutions. Work on the cutting‑edge of production systems for cybersecurity. Contribute to novel and impactful work, using your machine learning and cybersecurity expertise to enable and automate real‑time detection and defense against threat actors, for both federal and commercial clients. Incorporate open‑source tools, innovative methods, and cloud resources to cut down on false positive alerts and time to detection. Implement continuous integration and delivery to limit manual testing and troubleshooting. Build your experience in cyber defense and machine learning, while developing models and software that will defend the nation. Basic Qualifications 2+ years of experience with cyber threat hunting and analysis of compromises within security telemetry such as endpoint and network data 2+ years of experience training and monitoring machine learning models for use with batch data and streaming data Experience using Python Experience with MLOps practices, including CI/CD Experience packaging and deploying production‑level models using Docker or Kubernetes Experience with SIEM technologies such as Splunk or Elastic Stack Experience with MITRE ATT&CK framework, MISP threat sharing, or cyber intelligence platforms Experience with cloud platforms such as AWS or Azure Ability to obtain a Secret clearance Bachelor's degree Additional Qualifications Experience with data engineering, including ETL pipelines and platforms such as Databricks Experience working with large language models (LLMs) Experience with agentic AI solutions and associated techniques and tools such as RAG Experience with AWS GovCloud Experience with Zero Trust security principles Experience with message brokers or streaming platforms such as Kafka, Amazon Kinesis, RedPanda, or RabbitMQ Possession of excellent problem‑solving skills Secret clearance Master's degree preferred; Doctorate degree a plus Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people‑first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non‑Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr

Agentic AI Machine Learning Engineer**The Opportunity:**As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors.On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments.Ready to transform the Defense and Intelligence sectors with sof Join us. The world can't wait.**You Have:*** 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks* 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data* 3+ years of experience working in cloud environments, including AWS and Azure* 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes* Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex* Experience in connecting Agents to APIs, Cloud platforms, or databases* Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use* Experience with MLOps, GitOps, and CI/CD tooling* TS/SCI clearance* Bachelor's degree**Nice If You Have:*** Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM* Experience with client engagements, client-facing project work, and business development* Experience with project work in deep learning, computer vision, NLP, or signal processing* Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services* Ability to adapt in a rapidly changing environment* Possession of excellent verbal and written communication skills* Possession of excellent interpersonal, analytical, problem-solving, and organizational skills* TS/SCI clearance with a polygraph* Master's degree**Clearance:**Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.**Compensation**At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.**Identity Statement**As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.**Work Model** Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.* If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.* If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.**Commitment to Non-Discrimination**All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.**About Booz Allen Hamilton**Booz Allen is an advanced technology company delivering outcomes with speed for America's most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting-edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeed-accelerating the nation to realize our purpose: Empower People to Change the World. **Commitment to Non-Discrimination**All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.**Accommodations**If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of our employment process, please contact the Booz Allen Help Desk by calling ************** or sending an email to ****************. **This option is reserved only for individuals who are requesting a reasonable workplace accommodation.** It is not intended for other purposes or inquiries. **Data Privacy** For more information on how Booz Allen uses your information, please see our . #J-18808-Ljbffr

BE EMPOWERED TO SUCCEED Connect with others in our people‑first culture and enhance our collective ingenuity. SUPPORT YOUR WELLBEING Learn how we'll support you as you pursue a balanced, fulfilling life. YOUR CANDIDATE JOURNEY Discover what to expect during your journey as a candidate with us. As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission‑oriented machine learning solutions must be architected, designed, and built to handle fast‑moving data to seamlessly scale with infrastructure based on system usage and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors. On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments. Ready to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization? Join us. The world can't wait. You Have 3+ years of experience as a ML engineer and building production‑grade ML solutions, including work involving Large Language Models (LLMs), agents, or complex automation frameworks 3+ years of experience working within data science or data research in a professional or academic environment and training or deploying models across multiple modalities of data 3+ years of experience working in cloud environments, including AWS and Azure 2+ years of experience deploying and integrating production‑grade ML models using tools such as Docker and Kubernetes Experience with LLMs, Deep Learning (DL), and Reinforcement Learning (RL) and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex Experience connecting Agents to APIs, Cloud platforms, or databases Experience evaluating architectural tradeoffs and designing robust service‑based software applications for scalable use Experience with MLOps, GitOps, and CI/CD tooling Secret clearance Bachelor's degree Nice If You Have Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM Experience with client engagements, client‑facing project work, and business development Experience with project work in deep learning, computer vision, NLP, or signal processing Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services Ability to adapt in a rapidly changing environment Possession of excellent verbal and written communication skills Possession of excellent interpersonal, analytical, problem‑solving, and organizational skills TS / SCI clearance Master's degree Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people‑first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non‑Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. Booz Allen is an advanced technology company delivering outcomes with speed for America's most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting‑edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeed-accelerating the nation to realize our purpose: Empower People to Change the World . If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of our employment process, please contact the Booz Allen Help Desk by calling ************** or sending an email to ****************. This option is reserved only for individuals who are requesting a reasonable workplace accommodation. It is not intended for other purposes or inquiries. #J-18808-Ljbffr

Your growth matters to us - explore our career development opportunities. BE EMPOWERED TO SUCCEED Connect with others in our people-first culture and enhance our collective ingenuity. SUPPORT YOUR WELLBEING Learn how we'll support you as you pursue a balanced, fulfilling life. YOUR CANDIDATE JOURNEY Discover what to expect during your journey as a candidate with us. Cyber Machine Learning Engineer Build, train, and package production-ready models to detect advanced persistent threats and anomalous or suspicious activity. Implement model performance observability to monitor and mitigate data drift, false positives, and resource utilization. Identify new opportunities for effective applications of machine learning to unique cyber defense use cases. Keep aware of latest research in machine learning and cybersecurity, and demonstrate a history of intellectual curiosity, as the problems we solve require creative solutions. Work on the cutting-edge of production systems for cybersecurity. Contribute to novel and impactful work, using your machine learning and cybersecurity expertise to enable and automate real-time detection and defense against threat actors, for both federal and commercial clients. Incorporate open-source tools, innovative methods, and cloud resources to cut down on false positive alerts and time to detection. Implement continuous integration and delivery to limit manual testing and troubleshooting. Build your experience in cyber defense and machine learning, while developing models and software that will defend the nation. Basic Qualifications: 2+ years of experience with cyber threat hunting and analysis of compromises within security telemetry such as endpoint and network data 2+ years of experience training and monitoring machine learning models for use with batch data and streaming data Experience using Python Experience with MLOps practices, including CI / CD Experience packaging and deploying production-level models using Docker or Kubernetes Experience with SIEM technologies such as Splunk or Elastic Stack Experience with MITRE ATT & CK framework, MISP threat sharing, or cyber intelligence platforms Experience with cloud platforms such as AWS or Azure Ability to obtain a Secret clearance Bachelor's degree Additional Qualifications: Experience with data engineering, including ETL pipelines and platforms such as Databricks Experience working with large language models (LLMs) Experience with agentic AI solutions and associated techniques and tools such as RAG Experience with AWS GovCloud Experience with Zero Trust security principles Experience with message brokers or streaming platforms such as Kafka, Amazon Kinesis, RedPanda, or RabbitMQ Possession of excellent problem‑solving skills Secret clearance Master's degree preferred; Doctorate degree a plus Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people‑first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non‑Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr

Direct client. About the Role Mechanical Engineer - In - Training Onsite - 5 days Houston, TX and Plano, TX Full Time. Responsibilities: Serve as a member of mechanical team for the design of mechanical systems for client projects as assigned including: Perform engineering calculations and apply engineering principles to assist in the successful design, creation, and delivery of all mechanical AutoCAD and Revit drawings for each client project. Write, edit, and produce the accompanying specifications for each client project. Review and approve shop drawings, RFIs, submittals, addendums, and other construction documents assigned for mechanical-related items. Conduct field work and complete field reports on mechanical-related items to verify design as assigned. Knowledge of Uniform Mechanical and International Mechanical Codes. Working knowledge of LTY design standards and processes. Working knowledge of heating, ventilation, and air conditioning systems (HVAC). Beginning knowledge of LTY mission and vision; business leadership roles. Adaptable and open to learning new technologies and methodologies to stay in the forefront of mechanical engineering advancements. Participate in client meetings as necessary and/or as assigned by supervisor. Participate in career development training as assigned by supervisor or Human Resources. Qualifications: B.S. degree in Mechanical Engineering or related field. Successful completion of the Fundamentals of Engineering (F.E.) examination. Certified by the State of Texas as an Engineer-in-Training (EIT). Required Skills: Exceptional attention to detail. Ability to manage multiple projects under strict deadlines. Ability to work well on a team. Exceptional written and verbal skills. Preferred Skills: Knowledge of and experience with AutoCAD, Revit, Bluebeam, and Microsoft Office Suite. Knowledge of building codes. Previous experience in a MEP consulting environment. Previous experience designing MEP systems for schools. Experience in the design of HVAC systems, temperature controls, central plant design, and indoor air quality, as well as other mechanical systems for commercial buildings.

Amazon created one of the most sophisticated supply chains in the world. From the introduction of Amazon Prime, to the use of advanced technology for package delivery; Amazon consistently drives change from the front of the pack. As an Amazon Logistics [AMZL] Operations Engineer, you will lead and manage the lifecycle of challenging cross-functional projects, developing and delivering the next generation of sortation and distribution solutions. You are a customer obsessed leader that will play an integral part in planning and implementation of the facility network infrastructure including new builds, retrofits, expansions and program initiatives. Partnering with internal customers and internal/external stakeholders to engage as a team and ensure a timely handover will be part of your critical tasks. Key competencies of this position include insisting on the highest standards ensuring that contracted resources meet schedule, budgetary, safety and driving quality targets; analyzing and deep diving systems performance, inventing and simplifying solutions that allow for improved processes and results; and providing technical expertise to internal customers and stakeholders. Key job responsibilities -Work independently with internal and external teams to successfully manage the lifecycle of the challenging projects, and act as owner in delivering on projects objectives and targets. Projects may span organizations or geographies in support of business objectives. -Actively participate in firm engineering reviews, and make tangible impact on the proposed solutions on an individual system or its components, on the overall systems architecture, and on facility processes . -Partner with internal teams, stakeholders and external vendors to set project priorities, establish milestones, and drive schedules to meet deadlines. Proactively assess stakeholders' dependencies and milestones, problem-solve and drive solutions to mitigate the impact from the issues. -Lead and coordinate all execution efforts in delivering systems and automated equipment designs per established standards and guidelines. Perform equipment/systems installation, throughput and safety qualifications. Simplify, optimize, remove bottlenecks and provide feedback while resolving difficult system problems or technical deficiencies. -Lead effective meetings by setting the objectives, putting the right people in the room and driving detailed business and technical discussions/alignment. Document meetings discussions, decisions and future steps ensuring alignment on expectations with internal partner teams and outside vendors. -Promptly and accurately communicate project status, risk analysis and risk mitigation plans. Effectively answer project questions in detail, and regularly produce clear and concise summaries for the projects to leadership/management team. -Competently articulate system and/or equipment designs, including layouts, technical specifications and functional capabilities, to internal customers and partner teams. -Efficiently manage change order controls, purchase orders, and invoice validation/approvals. -Excel at building strong working relationships with internal and external stakeholders across multiple projects -Identify and lead process improvement initiatives that improve the Engineering and cross-teams' efficiencies, optimizing the teams' value and delivery. Through collaboration, generate high-quality, cost-effective solutions in compressed periods of time. -Travel up to 80% domestically although travel intensity can be variable and consist of up to three weeks in a row, including weekends. A day in the life You are managing quality of implementation through multiple projects that can vary in scope, complexity and duration. Daily tasks may comprise of site coordination with operations teams and contractors on project execution activities or changes; deep diving project progress, schedule and resources, while identifying barriers, creating solutions and driving resolutions. You may be facilitating the planning and/or implementation meetings with projects' stakeholders, ensuring alignment in objectives, expectations, and the next steps; you would capture and publish detailed notes after each meeting to drive ownership and follow-through on the actions and decisions. Reviewing/approving audit mechanisms and documentation is one of the essential tasks, and you may be tracking the programmatic week on week installation opportunities with the internal automation teams. You may be brainstorming and developing workaround solutions while mitigating the project delays or design issues. As a part of the acceptance testing you may be performing systems installation quality, safety, throughput and performance qualifications, frequently communicating the progress to internal and external stakeholders. In addition, you may be supporting/training other engineering team members, utilizing the knowledge of Amazon's safety, mechanical, electrical and controls installation standard and guidelines. About the team At Amazon, we are all Owners and leverage unique opportunities presented to us by owning everything from firm engineering to project execution and final hand-off to our customers. We are a diverse, upbeat, creative team of engineers and managers working on a daily basis to ensure that our internal customers have capabilities to deliver on the Customer Promise. We not only build, but we are also consistently improving our capabilities at Amazon. Continuous improvement is the ongoing enhancement of our systems designs, through incremental and breakthrough developments. We are continually raising the quality bar, and are never satisfied. We seek to improve through captured lessons learned, that are incorporated back into our mechanisms as a way to perpetually improve upon the next design and processes iterations. We continually learn, grow and develop throughout the organization and our Subject Matter Expertise is leveraged globally. We are the Team! We collaborate, support, help and leverage each other in delivering on the business objectives. Basic Qualifications - Bachelor's Degree in Industrial Engineering, Electrical Engineering, Mechanical Engineering, or other STEM field. - 4+ years of experience as a project engineer, process engineer, project manager, manufacturing engineer, or related occupation. - Experience with leading projects, programs or initiatives with continually increasing scope and impact. - Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems. - Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.). Preferred Qualifications - Master's degree in Engineering, Operations or a related STEM field. - Operations Management/Distribution Center experience with direct management or responsibility for material handling, automation, or other technical projects. - Experience with Six Sigma and/or Lean Manufacturing. - Experience with Microsoft Project, Smartsheet programs. - Experience with design and/or implementation automation solutions, such as Conveyors, Sorters, high speed manufacturing and packaging lines, Robotic work cells. - Proven technical leadership for industrial engineering projects or programs. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $68,900/year in our lowest geographic market up to $126,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Are you an engineer with a passion for data center design and looking for a challenge to chart your own course? If so, we are looking for you to help us make history. AWS data centers are the foundation upon which our software and services operates to meet the growing demands of our customers. This role provides the opportunity to collaborate with business development, design engineers, data center operations professionals, external vendors and consultants, and other cross-functional teams to assess and select colocation facilities that meet our business requirements. In this role you will be able to showcase your in-depth understanding of data center design, engineering, and operations of infrastructure common to data centers, telecommunications facilities and other critical environment infrastructure. You will work directly with internal business teams and with colocation vendors to identify, document, and resolve any operational/design deficiencies which could impact a site's capability or availability. You will have opportunities to influence standards for data center products, build and improve processes, and to guide the direction of our colocation data center portfolio on a global scale. So, if you are a strong leader with solid data center mechanical, electrical, plumbing, and structural (MEPS) infrastructure design engineering experience, Amazon will present a fast paced, fun, and exciting work environment that is unique in every aspect and offers an exceptional rewarding opportunity for you. AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities You will be responsible for the following: - Conduct site assessments against AWS standards for collocation data centers, legacy facility upgrades, and general capital endeavors. - Perform risk analysis and availability calculations for vendor owned and operated collocation data center's infrastructure to determine fit-for-use/fit-for-service. - Influence AWS' design and specification requirements to meet our business needs for AWS colocation products. - Investigate and document root-cause failure analysis associated with infrastructure and equipment failures. - Work with vendors and local agencies having jurisdiction to ensure compliance with federal, state and municipal requirements and codes. - Collaborate with engineering, operations, and commissioning teams to properly test and validate the installation, operation, and performance of critical electrical/mechanical/fire suppression/controls systems/structural systems. - Support Operations, data scientists and other business partners to determine utilization, efficiency, and performance analysis on critical systems. - Travel to Data Center sites as required - International & Domestic (up to 50%) About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - 6+ years of data center design, construction, operations, or facility maintenance experience - 6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience - Bachelor's degree in Engineering or a related field - Knowledge of critical data center mechanical and electrical equipment - Experience in data center design, construction, operations, or facility maintenance - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities Preferred Qualifications - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ******************************* . USA, GA, Atlanta - 136,600.00 - 184,800.00 USD annually USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually

Amazon created one of the most sophisticated supply chains in the world. From the introduction of Amazon Prime, to the use of advanced technology for package delivery; Amazon consistently drives change from the front of the pack. As an Amazon Logistics [AMZL] Operations Engineer, you will lead and manage the lifecycle of challenging cross-functional projects, developing and delivering the next generation of sortation and distribution solutions. You are a customer obsessed leader that will play an integral part in planning and implementation of the facility network infrastructure including new builds, retrofits, expansions and program initiatives. Partnering with internal customers and internal/external stakeholders to engage as a team and ensure a timely handover will be part of your critical tasks. Key competencies of this position include insisting on the highest standards ensuring that contracted resources meet schedule, budgetary, safety and driving quality targets; analyzing and deep diving systems performance, inventing and simplifying solutions that allow for improved processes and results; and providing technical expertise to internal customers and stakeholders. Key job responsibilities -Work independently with internal and external teams to successfully manage the lifecycle of the challenging projects, and act as owner in delivering on projects objectives and targets. Projects may span organizations or geographies in support of business objectives. -Actively participate in firm engineering reviews, and make tangible impact on the proposed solutions on an individual system or its components, on the overall systems architecture, and on facility processes . -Partner with internal teams, stakeholders and external vendors to set project priorities, establish milestones, and drive schedules to meet deadlines. Proactively assess stakeholders' dependencies and milestones, problem-solve and drive solutions to mitigate the impact from the issues. -Lead and coordinate all execution efforts in delivering systems and automated equipment designs per established standards and guidelines. Perform equipment/systems installation, throughput and safety qualifications. Simplify, optimize, remove bottlenecks and provide feedback while resolving difficult system problems or technical deficiencies. -Lead effective meetings by setting the objectives, putting the right people in the room and driving detailed business and technical discussions/alignment. Document meetings discussions, decisions and future steps ensuring alignment on expectations with internal partner teams and outside vendors. -Promptly and accurately communicate project status, risk analysis and risk mitigation plans. Effectively answer project questions in detail, and regularly produce clear and concise summaries for the projects to leadership/management team. -Competently articulate system and/or equipment designs, including layouts, technical specifications and functional capabilities, to internal customers and partner teams. -Efficiently manage change order controls, purchase orders, and invoice validation/approvals. -Excel at building strong working relationships with internal and external stakeholders across multiple projects -Identify and lead process improvement initiatives that improve the Engineering and cross-teams' efficiencies, optimizing the teams' value and delivery. Through collaboration, generate high-quality, cost-effective solutions in compressed periods of time. -Travel up to 80% domestically although travel intensity can be variable and consist of up to three weeks in a row, including weekends. A day in the life You are managing quality of implementation through multiple projects that can vary in scope, complexity and duration. Daily tasks may comprise of site coordination with operations teams and contractors on project execution activities or changes; deep diving project progress, schedule and resources, while identifying barriers, creating solutions and driving resolutions. You may be facilitating the planning and/or implementation meetings with projects' stakeholders, ensuring alignment in objectives, expectations, and the next steps; you would capture and publish detailed notes after each meeting to drive ownership and follow-through on the actions and decisions. Reviewing/approving audit mechanisms and documentation is one of the essential tasks, and you may be tracking the programmatic week on week installation opportunities with the internal automation teams. You may be brainstorming and developing workaround solutions while mitigating the project delays or design issues. As a part of the acceptance testing you may be performing systems installation quality, safety, throughput and performance qualifications, frequently communicating the progress to internal and external stakeholders. In addition, you may be supporting/training other engineering team members, utilizing the knowledge of Amazon's safety, mechanical, electrical and controls installation standard and guidelines. About the team At Amazon, we are all Owners and leverage unique opportunities presented to us by owning everything from firm engineering to project execution and final hand-off to our customers. We are a diverse, upbeat, creative team of engineers and managers working on a daily basis to ensure that our internal customers have capabilities to deliver on the Customer Promise. We not only build, but we are also consistently improving our capabilities at Amazon. Continuous improvement is the ongoing enhancement of our systems designs, through incremental and breakthrough developments. We are continually raising the quality bar, and are never satisfied. We seek to improve through captured lessons learned, that are incorporated back into our mechanisms as a way to perpetually improve upon the next design and processes iterations. We continually learn, grow and develop throughout the organization and our Subject Matter Expertise is leveraged globally. We are the Team! We collaborate, support, help and leverage each other in delivering on the business objectives. Basic Qualifications - Bachelor's Degree in Industrial Engineering, Electrical Engineering, Mechanical Engineering, or other STEM field. - 4+ years of experience as a project engineer, process engineer, project manager, manufacturing engineer, or related occupation. - Experience with leading projects, programs or initiatives with continually increasing scope and impact. - Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems. - Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.). Preferred Qualifications - Master's degree in Engineering, Operations or a related STEM field. - Operations Management/Distribution Center experience with direct management or responsibility for material handling, automation, or other technical projects. - Experience with Six Sigma and/or Lean Manufacturing. - Experience with Microsoft Project, Smartsheet programs. - Experience with design and/or implementation automation solutions, such as Conveyors, Sorters, high speed manufacturing and packaging lines, Robotic work cells. - Proven technical leadership for industrial engineering projects or programs. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $68,900/year in our lowest geographic market up to $126,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Are you an engineer with a passion for data center design and looking for a challenge to chart your own course? If so, we are looking for you to help us make history. AWS data centers are the foundation upon which our software and services operates to meet the growing demands of our customers. This role provides the opportunity to collaborate with business development, design engineers, data center operations professionals, external vendors and consultants, and other cross-functional teams to assess and select colocation facilities that meet our business requirements. In this role you will be able to showcase your in-depth understanding of data center design, engineering, and operations of infrastructure common to data centers, telecommunications facilities and other critical environment infrastructure. You will work directly with internal business teams and with colocation vendors to identify, document, and resolve any operational/design deficiencies which could impact a site's capability or availability. You will have opportunities to influence standards for data center products, build and improve processes, and to guide the direction of our colocation data center portfolio on a global scale. So, if you are a strong leader with solid data center mechanical, electrical, plumbing, and structural (MEPS) infrastructure design engineering experience, Amazon will present a fast paced, fun, and exciting work environment that is unique in every aspect and offers an exceptional rewarding opportunity for you. AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities You will be responsible for the following: - Conduct site assessments against AWS standards for collocation data centers, legacy facility upgrades, and general capital endeavors. - Perform risk analysis and availability calculations for vendor owned and operated collocation data center's infrastructure to determine fit-for-use/fit-for-service. - Influence AWS' design and specification requirements to meet our business needs for AWS colocation products. - Investigate and document root-cause failure analysis associated with infrastructure and equipment failures. - Work with vendors and local agencies having jurisdiction to ensure compliance with federal, state and municipal requirements and codes. - Collaborate with engineering, operations, and commissioning teams to properly test and validate the installation, operation, and performance of critical electrical/mechanical/fire suppression/controls systems/structural systems. - Support Operations, data scientists and other business partners to determine utilization, efficiency, and performance analysis on critical systems. - Travel to Data Center sites as required - International & Domestic (up to 50%) About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - 6+ years of data center design, construction, operations, or facility maintenance experience - 6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience - Bachelor's degree in Engineering or a related field - Knowledge of critical data center mechanical and electrical equipment - Experience in data center design, construction, operations, or facility maintenance - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities Preferred Qualifications - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ******************************* . USA, GA, Atlanta - 136,600.00 - 184,800.00 USD annually USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually

Are you an engineer with a passion for data center design and looking for a challenge to chart your own course? If so, we are looking for you to help us make history. AWS data centers are the foundation upon which our software and services operates to meet the growing demands of our customers. This role provides the opportunity to collaborate with business development, design engineers, data center operations professionals, external vendors and consultants, and other cross-functional teams to assess and select colocation facilities that meet our business requirements. In this role you will be able to showcase your in-depth understanding of data center design, engineering, and operations of infrastructure common to data centers, telecommunications facilities and other critical environment infrastructure. You will work directly with internal business teams and with colocation vendors to identify, document, and resolve any operational/design deficiencies which could impact a site's capability or availability. You will have opportunities to influence standards for data center products, build and improve processes, and to guide the direction of our colocation data center portfolio on a global scale. So, if you are a strong leader with solid data center mechanical, electrical, plumbing, and structural (MEPS) infrastructure design engineering experience, Amazon will present a fast paced, fun, and exciting work environment that is unique in every aspect and offers an exceptional rewarding opportunity for you. AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities You will be responsible for the following: - Conduct site assessments against AWS standards for collocation data centers, legacy facility upgrades, and general capital endeavors. - Perform risk analysis and availability calculations for vendor owned and operated collocation data center's infrastructure to determine fit-for-use/fit-for-service. - Influence AWS' design and specification requirements to meet our business needs for AWS colocation products. - Investigate and document root-cause failure analysis associated with infrastructure and equipment failures. - Work with vendors and local agencies having jurisdiction to ensure compliance with federal, state and municipal requirements and codes. - Collaborate with engineering, operations, and commissioning teams to properly test and validate the installation, operation, and performance of critical electrical/mechanical/fire suppression/controls systems/structural systems. - Support Operations, data scientists and other business partners to determine utilization, efficiency, and performance analysis on critical systems. - Travel to Data Center sites as required - International & Domestic (up to 50%) About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - 6+ years of data center design, construction, operations, or facility maintenance experience - 6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience - Bachelor's degree in Engineering or a related field - Knowledge of critical data center mechanical and electrical equipment - Experience in data center design, construction, operations, or facility maintenance - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities Preferred Qualifications - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ******************************* . USA, GA, Atlanta - 136,600.00 - 184,800.00 USD annually USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually

100% onsite - Columbia, MD We are seeking a highly skilled and hands-on Senior Staff Enginee r to lead development efforts in AI, MLOps, and signal processing, with a strong emphasis on deploying intelligent systems on microcontrollers and working directly with customer data. This role demands not only proficiency in machine learning frameworks but also a deep understanding of the underlying algorithms and their practical application to real‑world sensor data. The ideal candidate will also bring extensive experience in software production development, including CI/CD pipelines, GitHub workflows, and rigorous testing practices. Key Responsibilities Architect, develop, and maintain scalable ML product codebases with production‑grade quality. Lead MLOps strategy including model deployment, monitoring, and lifecycle management. Apply advanced signal processing techniques to one‑dimensional sensor data (e.g., audio, motor control, accelerometers). Collaborate with customers to ingest, debug, and analyze their data for model development and validation. Design and implement machine learning models tailored to time‑series and sensor data, with a strong grasp of algorithmic foundations (e.g., SVM, decision trees, neural networks, reinforcement learning). Optimize and deploy ML models on microcontrollers (MCUs) and embedded platforms. Develop smaller, faster models suitable for edge deployment. Implement and maintain CI/CD pipelines, GitHub workflows, and automated testing frameworks. Write and maintain unit tests, integration tests, and documentation to ensure code quality and reliability. Assemble hardware setups (e.g., sensor arrays, embedded boards) and collect data from real‑world environments to support model development and validation. Mentor junior engineers and contribute to technical leadership across teams. Stay current with emerging technologies in AI, embedded ML, and signal processing. Qualifications Education: Master's or PhD in Computer Science, Electrical Engineering, or related field. Experience: Minimum 5 years in software development with a focus on AI/ML and signal processing. Proficiency in Python, MATLAB, and at least one other language (e.g., C, C++). Deep understanding of ML algorithms, reinforcement learning and practical experience implementing them from scratch or customizing existing frameworks. Experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit‑learn, LIBSVM). Strong background in digital signal processing (DSP) for audio and time‑series data. Hands‑on experience with sensor data (e.g., accelerometers, motor control systems). Experience working with customer datasets, including debugging and preprocessing. Proven ability to optimize performance and size. Extensive experience with CI/CD pipelines, GitHub version control, and automated testing. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Strong understanding of software engineering best practices and agile development. Minimum professional experience: Updated to 6 years of hands‑on experience in ML/AI development. Technical leadership requirement: Candidates should currently hold a Senior Staff Engineer role in ML/AI development or a Staff Engineer position with at least 1 year of experience in that role. Preferred Qualifications Experience with edge computing or embedded systems. Knowledge of real‑time systems and latency optimization. Contributions to open‑source projects or published research in AI/signal processing. Additional Information The expected annual pay range for this position is $134,500 - 185,000. This position is also eligible for bonus opportunities and commission pay. Please note that the final offer amount will be dependent on geographic location, applicable experience, and skillset of the candidate. Renesas offers a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre‑tax commuter benefits, life insurance, AD&D, and pet insurance. In addition to elective benefit options, benefited employees receive company‑paid life insurance and AD&D, LTD, short term medical benefits as well as paid sick time, paid holidays, and accrued paid vacation. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources. Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.' As the industry's leading expert in embedded processing with unmatched quality and system‑level know‑how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power‑efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.' At Renesas, you can: Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things. Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people's lives easier, safe and secure. Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people‑first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark? Join Renesas. Shape Your Future with Us. Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law. For more information, please read our Diversity & Inclusion Statement. Renesas Electronics deals with dual‑use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas. We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in‑office days are Tuesday through Thursday for innovation, collaboration and continuous learning. #J-18808-Ljbffr

Employer: Amazon.com Services LLC Operations Engineer III (multiple positions available) Multiple Positions Available: - Work with the ATS network to drive process stabilization, standardization, time studies, end to end process mapping and continuous improvement for the NAST Network. - Establish best in class network performance across all performance paths, accelerate implementation of technology advancements and to strengthen the technical acumen and process knowledge for the operational leaders across the ATS network. - Ensure the operations teams are equipped with the functional expertise to successfully deliver expected gains for technology advances and network wide process improvements. - Work closely with the Benchmarking and Quality teams to identify and define the input metrics for each of the process paths to prioritize and channel resources to address gaps in these input metrics. - Identify the opportunities across all process paths in both 1P and 3P yards, prioritize the improvement opportunities and partner with stakeholders to successfully execute. - Working with Middle Mile transportation technology teams to establish mechanisms to simplify and automate transportation execution for our operations teams - Evaluate performance objectives and metrics across the yards to proactively identify process improvement opportunities within the assigned process path. - Develop and implement detailed standard operating procedures to support daily operations within optimized operating window for each fulfillment process. - Partner with operational leaders within TOM/Fulfillment Centers (FC) to execute implementation of process improvements driving stabilization and standardization. - Deliver coaching and process path information to operational leaders within ATS as it relates to the respective process paths to support reduction of variation in process standards and knowledge gaps. - Execute, measure and support communication of project impacts in partnership with the site leaders responsible for day-to-day operations. - Focus on FMEA based analysis to identify variables that generate consistent defects for the transportation network. - Domestic travel up to 40% to perform role responsibilities may be required (40 hours / week, 8:00am-5:00pm, Salary Range $119,600/yr to 161,700/yr Amazon.com is an Equal Opportunity - Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation Apply Online at **************** searching by AMZ14838.6 Basic Qualifications A Bachelor's degree, or foreign equivalent, in Industrial Engineering, Manufacturing Engineering, Operations Engineering, or related discipline, and 3 years of experience in the job offered or in a similar process and building layout design and development role. Experience must include: 1. 3 years' experience working in a fast-paced industrial, logistics, distribution, fulfillment or production/manufacturing environment. 2. 3 years' experience using design engineering and drafting tools, such as AutoCAD, Bluebeam, MS Visio, or SolidWorks. 3. 3 years' experience leading cross-functional operations, engineering, or supply chain projects using Lean Management, Six Sigma, or related processes to increase efficiency within manufacturing or supply chain processes. 4. 3 years' experience using Excel, including use of lookups and pivot tables 5. 3 years' experience reporting and presenting engineering analysis and recommendations to senior management on process improvements. Preferred Qualifications All applicants must meet all the above listed requirements. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

As an Operations Engineer, you will lead and manage the lifecycle of challenging cross-functional projects, developing and delivering the next generation of sortation and distribution solutions. You are a customer obsessed leader that will play an integral part in planning and implementation of the facility network infrastructure including new builds, retrofits, expansions and program initiatives. Partnering with internal customers and internal/external stakeholders to engage as a team and ensure a timely handover will be part of your critical tasks. As an Operations Engineer for Amazon, you will work with some of the most talented engineers in the design, development, and delivery of physical distribution systems around the globe. You are responsible for managing a technology or integration project, successfully delivering the solution to meet project goals. You may work directly with external equipment vendors, customers, or partners, and you have a solid understanding of the design approaches and industry technologies utilized in fulfillment and distribution center designs. To meet timelines and minimize disruption to support teams, you manage the overall schedule, proactively mitigate risks, and keep the scope of engineering deliverables under control. This role requires up to 80% travel and availability to work from a corporate office when not traveling. Candidates should either live near or be willing to relocate within a reasonable commuting distance of the office. Relocation assistance may be provided. Key job responsibilities - Work independently with internal and external teams to successfully manage the lifecycle of challenging projects, and act as owner in delivering on project objectives and targets. Projects may span organizations or geographies in support of business objectives. - Actively participate in firm engineering reviews, and make tangible impact on the proposed solutions on an individual system or its components, on the overall systems architecture, and on facility processes. - Partner with internal teams, stakeholders and external vendors to set project priorities, establish milestones, and drive schedules to meet deadlines. Proactively assess stakeholders' dependencies and milestones, problem-solve and drive solutions to mitigate the impact from the issues. - Lead and coordinate all execution efforts in delivering systems and automated equipment designs per established standards and guidelines. Perform equipment/system installation, throughput and safety qualifications. Simplify, optimize, remove bottlenecks and provide feedback while resolving difficult system problems or technical deficiencies. - Lead effective meetings by setting the objectives, putting the right people in the room and driving detailed business and technical discussions/alignment. Document meeting discussions, decisions and future steps, ensuring alignment on expectations with internal partner teams and outside vendors. - Promptly and accurately communicate project status, risk analysis and risk mitigation plans. Effectively answer project questions in detail, and regularly produce clear and concise summaries for the project to leadership/management team. - Competently articulate system and/or equipment designs, including layouts, technical specifications and functional capabilities to internal customers and partner teams. - Efficiently manage change order controls, purchase orders, and invoice validation/approvals. - Excel at building strong working relationships with internal and external stakeholders across multiple projects. - Identify and lead process improvement initiatives that improve the Engineering and cross-teams' efficiencies, optimizing the teams' value and delivery. Through collaboration, generate high-quality, cost-effective solutions in compressed periods of time. - Up to 80% travel domestically although travel intensity can be variable and consist of up to three weeks in a row, including weekends. Basic Qualifications - Bachelor's Degree in Industrial Engineering, Mechanical Engineering, or other STEM field - 0-4 years of experience as a Project Engineer, Process Engineer, Project Manager, Manufacturing Engineer, or related occupation - Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems - Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.) Preferred Qualifications - Master's degree in Engineering, Operations, Business Administration, or a related STEM field - Operations Management/Distribution Center experience with direct management or responsibility for material handling, automation, or other technical projects - Experience with Six Sigma and/or Lean Manufacturing - Experience with Microsoft Project, Smartsheet programs - Experience with design and/or implementation automation solutions, such as Conveyors, Sorters, high speed manufacturing and packaging lines, Robotic work cells - Proven technical leadership for industrial engineering projects or program Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $54,600/year in our lowest geographic market up to $93,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Immediate need for a talented RTL Design Engineer. This is a 06-12+ Months contract opportunity with long-term potential and is located in Dallas, TX(Onsite). Please review the job description below and contact me ASAP if you are interested. Job Diva ID: 26-00148 Pay Range: $58 - $60/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: high-speed protocols experience such as PCIe, DDR, USB, SCSI, Ethernet, MIPI, and UFS Good technical leadership skills with ability to guide the CWFs on SoC execution Should have a good understanding of SoC architecture and should be able to map the Arch spec to implementation level details Experience in PCIe and Ethernet IP integration Hands-on experience on AMBA based bus protocols Excellent communication skills are a must Experience: 8-15 years Our client is a leading IT Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Company is helping our client find a Manufacturing Diagnostics Engineer to support the bring-up, validation, testing, and troubleshooting of the company's products, as well as the development and implementation of diagnostic systems and infrastructure. In this role, you'll develop, refine, and scale test processes for the electrical and firmware systems of the company's primary drive module subassembly, which is ultimately assembled onto the vehicle. The ideal candidate has strong debugging and diagnostic skills, hands-on experience with automotive networking and firmware testing, and enjoys working cross-functionally in a fast-paced manufacturing environment. As a Manufacturing Diagnostics Engineer, you will: Serve as the first line of defense for electrical, firmware, and functional issues on the drive module manufacturing assembly, including software, firmware, harnessing, networking (CAN, LIN, Automotive & Standard Ethernet, GMSL), hardware, and infrastructure. Troubleshoot and resolve electrical and firmware issues at the manufacturing supplier (e.g., flashing firmware, updating test sequences, repairing harness connectors, terminals, and wires). Work closely with multidisciplinary engineering teams to interpret component- and vehicle-level requirements and translate them into scalable, system-level validation test scripts and cases.7 Develop work instructions, troubleshooting guides, and workaround documentation for operators on the manufacturing line. Design and implement next-generation diagnostic architectures to support higher-volume production in future manufacturing lines. Daily tasks Responsibilities Serve as the first line of defense for all electrical and functional issues on the drive module manufacturing assembly including but not limited to software / firmware, harness, networking (CAN, LIN, Automotive and Standard Ethernet, GMSL, etc.), hardware, and infrastructure issues. Resolve electrical and firmware issues at manufacturing supplier by flashing firmware, updating test sequences, repairing harness connectors / terminals / wires, etc. Work closely with multidisciplinary engineers to collect and interpret the component and vehicle level requirements and translate them into scalable system-level validation test scripts and test cases Develop work instructions and troubleshooting / workaround guides for operators on the Manufacturing line Design and implement future manufacturing lines involving the next generation diagnostic architecture to support higher volume production Required skills Qualifications Bachelor's degree in a relevant area such as Electrical Engineering or Computer Science. Very strong troubleshooting and debugging skills and experience, including reading, troubleshooting, and injecting packets over various network protocols such as CAN, LIN, and Ethernet 2-4 years of experience with automotive controller integration testing or test script development / programming in high-level languages such as Python Experience with Github or similar tools for software management Strong background in Linux and shell / bash / terminal scripting Bonus Qualifications Master's degree in a relevant area such as Computer Science or Engineering Experience with integration and automation of manufacturing and test equipment Background in creating, reading, and writing to tables in SQL database Experience with computer network engineering, TCP / IP protocols, communication over API Business driver of role As a Manufacturing Diagnostics Engineer, you will be a part of the team that executes processes to bring up, validate, test, and troubleshoot the company products as well as implements diagnostic systems / infrastructure. You will develop and improve our processes for testing the electrical and firmware systems of the primary drive module subassembly that is ultimately assembled onto the company vehicle.

Position will serve as a mechanical resource for Plant Engineering based in Hickory, NC facility. Main responsibility is to function as mechanical design support on project work to improve existing fiber optic cable manufacturing equipment. Job functions include: • Design tooling and/or mechanical assemblies utilizing Inventor or AutoCAD • Obtain quotes and order components • Revise equipment drawings • Develop experimental plans to validate designs • Assemble or oversee assembly of systems with opportunity for hands on work • Debug and resolve issues when integrating designs into production equipment • Work closely with a cross functional engineering team including IT, process and electrical engineers/technicians • Work with operations to update documentation and support training as needed PPE Required: Safety Glasses, Safety Gloves,Safety Shoes, Ear Plugs Required Education: • BS in Mechanical Engineering, Mechanical Engineering Technology degree or comparable engineering experience Required Years and Area of Experience: 3+ Required Skills: • Experience with mechanical system design and integration • Ability to generate or modify mechanical models/drawings primarily using Inventor (or similar 3D CAD software), Vault and some AutoCAD • Knowledge and application of drafting standards including GD&T • Ability to work with machine shops/vendors to complete part procurement • Hands on experience with mechanical system troubleshooting such as pneumatic controls, flow control, water cooling systems, etc. • Experience with manufacturing equipment repair and maintenance • Experience managing mechanics/electricians for equipment assembly and installation Desired Skills: • Familiarity or experience with plastic extrusion manufacturing • Experienced in electrical system troubleshooting including low and medium voltage systems, motion control, PLCs, temperature control systems, etc • Working knowledge of data analysis techniques using Microsoft Excel, PI and/or PowerBI Soft Skills: • Works well in a team environment, is a “self-starter” and “results oriented”. • Acts and makes decisions in the best interest of the team. • Complies with all policies and procedures of the plant. • Works well with other disciplines (IT, electrical, and process engineering) to fully understand manufacturing system functionality and design requirements. • Experience working in a manufacturing floor or construction environment, with a strong focus on job site safety. Proactive regarding safety. Seeks to identify and correct potential safety or environmental issues before they occur.

Title: Manufacturing Diagnostics Engineer Pay Rate: $50/hr+ DOE Type: Assignment 6+ Months with possibility of extension About Our Client Our client is a pioneering automotive services organization committed to redefining how people move. With a focus on innovation, quality, and user experience, they collaborate across industries to develop transformative solutions that respond to evolving urban needs. About the Role As a Manufacturing Diagnostics Engineer, you will be a part of the team that executes processes to bring up, validate, test, and troubleshoot the company products as well as implements diagnostic systems/infrastructure. You will develop and improve our processes for testing the electrical and firmware systems of the primary drive module subassembly that is ultimately assembled onto a vehicle. What you will be doing: Serve as the first line of defense for all electrical and functional issues on the drive module manufacturing assembly including but not limited to software / firmware, harness, networking (CAN, LIN, Automotive and Standard Ethernet, GMSL, etc.), hardware, and infrastructure issues. Resolve electrical and firmware issues at manufacturing supplier by flashing firmware, updating test sequences, repairing harness connectors / terminals / wires, etc. Work closely with multidisciplinary engineers to collect and interpret the component and vehicle level requirements and translate them into scalable system-level validation test scripts and test cases Develop work instructions and troubleshooting / workaround guides for operators on the Manufacturing line Design and implement future manufacturing lines involving the next generation diagnostic architecture to support higher volume production About You Required Qualifications: Bachelor's degree in a relevant area such as Electrical Engineering or Computer Science. Very strong troubleshooting and debugging skills and experience, including reading, troubleshooting, and injecting packets over various network protocols such as CAN, LIN, and Ethernet 2-4 years of experience with automotive controller integration testing or test script development / programming in high-level languages such as Python Experience with Github or similar tools for software management Strong background in Linux and shell / bash / terminal scripting Preferred Qualifications: Master's degree in a relevant area such as Computer Science or Engineering Experience with integration and automation of manufacturing and test equipment Background in creating, reading, and writing to tables in SQL database Experience with computer network engineering, TCP / IP protocols, communication over API Applicants must be authorized to work for ANY employer in the US. We are unable to sponsor or take over sponsorship of employment Visas. About Cinder Cinder is a people-first staffing and recruiting company committed to creating workplaces where employees feel valued, supported, and engaged. Our mission is to leverage our power as a recruiting and consulting company to build workplaces where people thrive. Backed by our ISO 9001 certification, we deliver high-quality staffing solutions, and our clients have rated us over 100% for multiple quarters. Join us and be part of a team that makes a real impact!