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  • Commissioning Engineer

    Amazon Data Services, Inc. 4.7company rating

    Atlanta, GA jobs

    AWS Infrastructure Services 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. AWS is looking for a dynamic Commissioning Engineer. It is the responsibility of all Amazonians to have alignment with our leadership principles and demonstrate these at the highest level. The responsibilities of the ACx Commissioning Engineer (CxE) include, but are not limited to, oversight and coordination of multi-discipline division of work related to design review and commissioning of Amazon critical infrastructure for new construction and special projects. The CxE is responsible for supporting vendors, contractors, and other teams involved in the construction and commissioning of various systems including medium and low voltage power systems, Generators, UPS, HVAC, Chilled Water, BMS, and EPMS systems. They shall provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. In addition, the CxE will be required to develop and review electrical and mechanical component and integrated systems testing along with other commissioning documents to ensure they are compliant with the basis of design, specification, industry standards and sequence of operations. It is the CxE responsibility to ensure that all commissioning procedures follow the appropriate safety practices and policies. CxE is responsible for auditing commissioning activities continuously to ensure compliance with environmental, quality, and safety requirements. The CxE proactively communicates with the ACx Regional Manager and the ACx team to ensure that the applicable test documents are created and executed in accordance with all commissioning requirements. This individual will be responsible for comprehensive weekly reporting of status of all ongoing projects, lessons learned, and program improvements to continually improve the quality of our program. This position will include coverage of multiple inflight projects and tight schedules. Key job responsibilities Physical Requirements • Walk job sites in uneven terrain • Work at heights and from ladders • Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl • Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more • Carry objects weighing up to 49 pounds for short distances • Work shifts longer than eight hours in duration with potential for night and weekends • Perform physical tasks throughout the day without becoming overly tired • Ability to manipulate small wires and objects easily • Work in a noisy environment • Work in environments that are colder or hotter than a normal office environment Additional Job Requirements • Ability to relocate to the Metro Atlanta area. • Ability and willingness to travel domestic and internationally for up to 50% of the year. Typical travel is 20%. • Required to provide personal transportation for meetings and job visits away from the office; reimbursed. About the team 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. 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. 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. 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. 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. #DCCD_AMER BASIC QUALIFICATIONS- 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience - Bachelor's degree in Mechanical/Electrical Engineering or 5 years of relevant discipline work experience - High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained in the others. - Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design. - Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements. PREFERRED QUALIFICATIONS- Advanced knowledge Microsoft Office Suite - Word, Excel, Outlook required; advanced knowledge of SharePoint (or similar) preferred - Strong communication skills, detail oriented, highly organized, and able to work in high stress environments to maintain calm and respectful interaction with multiple teams - Advanced knowledge of mechanical, electrical, and controls systems for critical infrastructures - Ability to read and edit construction documents (design drawings, control diagrams, specifications, etc.) - Experience developing and executing test procedures for mechanical or electrical systems/components based on design intent and approved equipment submittals 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 $105,100/year in our lowest geographic market up to $185,000/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.
    $105.1k-185k yearly 4d ago
  • Engr 3, Electrical

    Pyramid Consulting, Inc. 4.1company rating

    San Diego, CA jobs

    Immediate need for a talented Engr 3, Electrical. This is a 12+ months contract opportunity with long-term potential and is located in San Diego, CA(Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-94178 Pay Range: $65 - $70/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: Key skills; Electrical Engineering, Product Development, Designing Electrical Engineering is responsible for designing and developing components, electronic packaging, electrical circuitry, and other systems used in finished equipment. Demonstrates advanced knowledge on making trade-offs between alternate design topologies. Working knowledge of Product Development Process. Provides advice on feasibility and risks for a product. Extends system design for existing products. Facilitates cross-functional knowledge and experiences to facilitate the understanding and resolution of single product development issues, concerns and risks. Responsible for coordination of product development. Serves as a key resource to examine system behavior issues and bring to resolution for existing products. Has in-depth experience, knowledge and skills in own job family. Applies knowledge and skills to a wide range of standard and non-standard situations. Works independently with minimal guidance. Usually determines own work priorities. Acts as a resource for colleagues with less experience. Our client is a leading Healthcare 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.
    $65-70 hourly 2d ago
  • Electrical Engineer- Onsite

    Prudent Technologies and Consulting, Inc. 4.3company rating

    Houston, TX jobs

    Electrical Engineer-in-Training Houston ,TX Direct -Hire Required Skills and Knowledge • B.S. degree in Electrical 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) • 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 and Knowledge • 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 lighting and lighting controls, fire alarms, power and power distribution, technology systems, as well as other standard electrical systems for commercial Supervisory Responsibilities Electrical Designers and Electrical Interns as assigned Travel 10% Occasional; primarily to and from job sites and/or client meetings
    $74k-99k yearly est. 2d ago
  • Electrical Engineer

    Lancesoft, Inc. 4.5company rating

    Saint Paul, MN jobs

    Skills: Electrical Engineer I to assist in development and sustaining engineering projects within the Electrophysiology division at Client. Education: Bachelor's Degree in Electrical Engineering is required. Computer Science or Biomedical degree okay as long as the candidate also has EE experience Duties: Participates on engineering teams in completing development projects. Leads small-scale design change efforts in support of continuation engineering activities. Completes system, analog, digital, and firmware designs. This includes setting and revising requirements and specifications, debugging, testing electrical circuits and systems, and completing documentation to ensure feasibility and verifiability of performance. Able to work cross functionally, independently, and as part of a team. Looking for a self-starter with a focus on troubleshooting. Medical device experience would be ideal but not required. Internship experience is also fine but would like to see professional experience first. Masters in EE okay with an internship.
    $66k-80k yearly est. 1d ago
  • Electrical Engineer (NFPA/Fire Alarm) - 25-03020

    Datasoft Technologies, Inc. 4.2company rating

    Phoenix, AZ jobs

    Electrical Engineering Professional Career Level We are looking for folks located near our offices (Austin, Phoenix, Pittsburgh, Portland) to work onsite. About the Job Duration: 12-month contract with possibility of extension/ This role is intended to be contract to hire. Job : 23703 Qualifications: Life Safety Systems Engineer Bachelor's Degree in Engineering with the ability to attain PE licensure At least 4 years of AutoCAD design experience Knowledge of IFC, IBC, NFPA101 Life Safety Code and NFPA 72 Fire Alarm and Signaling Code Knowledge and application of NFPA 70 (NEC) and electrical design requirements Knowledge and application of NFPA 400 Hazardous Materials Code Knowledge of Fire Alarm Systems and manufacturers' equipment, including VESDA systems Design experience with Fire Alarm, VESDA systems, security CCTV, HPM and Leak Detection Knowledge of design and construction specifications Experience estimating and scheduling mid-to-large-scale projects Ideally, you'll also have: • Professional Engineering (PE) license • Experience leading projects and managing resources • Experience mentoring junior staff • Design Management experience • Design experience in semiconductor or data centers • Working knowledge of 3D BIM software (Revit) Comments/Special Instructions This role is intended to be contract to hire. We are looking for folks located near offices (Austin, Phoenix, Pittsburgh, Albany, Portland) to sit onsite. About our Company DataSoft Technologies is a highly recognized provider of professional IT Consulting services in the US. Founded in 1994, DataSoft Technologies, Inc. provides staff augmentation services for Information Technology and Automotive Services. Our team member benefits include: Paid Holidays/Paid Time Off (PTO) Medical/Dental Insurance Vision Insurance Short Term/Long Term Disability Life Insurance 401 (K)
    $64k-83k yearly est. 1d ago
  • Sr. Electrical Systems Engineer (Camera/Vision) - (Contract-To-Hire Role)

    Open Systems Inc. 4.6company rating

    Atlanta, GA jobs

    Title: Sr. Electrical Systems Engineer (Camera/Vision) Contract: C2H - Contract to Hire. Industry: Rail Transportation (R&D division) Travel: 35% (field deployments and diagnostics) About the Team: Join the Research & Development division of our client, where they focus on applied research and emerging technologies, including IoT, Machine Vision, Drones, and Robotics. Their team is dedicated to creating intelligent systems that improve safety, efficiency, and automation across rail operations. Position Overview: We are seeking an Electrical Systems Engineer to support the deployment of cutting-edge machine vision inspection portals. These systems capture high-speed images of passing trains from multiple angles and use AI-driven analytics to identify mechanical defects. This role includes hands-on work outdoors, systems integration, and field diagnostics. Candidates with strong electronics or embedded systems experience-especially in field-based environments-are strongly encouraged to apply. Key Responsibilities: Deploy, integrate, and maintain machine vision inspection portal systems along rail corridors. Perform onsite troubleshooting, diagnostics, and hardware/software integration. Support field installation efforts, including configuration of electrical and embedded systems. Conduct circuit analysis, signal cleaning, and noise mitigation for high-speed imaging hardware. Work with cross-functional R&D teams to refine system performance and reliability. Travel to field sites and operational locations (~35%) to support installations and upgrades. Operate in outdoor environments and remote field conditions as required. Preferred Background & Qualifications Experience: Field experience in electronics or embedded systems is highly preferred. Ideal candidates may come from industries such as utilities, military, telecom, or mobile device companies. Education: Bachelor's degree in Electrical Engineering, Computer Engineering, Mechatronics, Robotics, or a related discipline required. Master's degree preferred; Georgia Tech alumni strongly encouraged to apply. Technical Skills: Strong foundation in hardware design, analysis, and troubleshooting. Experience with systems integration across hardware, firmware, and software components. Knowledge of PCB design, circuit analysis, and electrical noise mitigation. Exposure to embedded systems, IoT devices, and/or microcontrollers. Experience with machine vision or imaging systems a plus (not required). Familiarity with camera systems or camera hardware is a bonus. Software/Programming: Programming skills relevant to embedded and integrated systems (e.g., C++ or Python). Work Environment & Schedule: Hybrid work model: 3 days per week onsite in the Atlanta office or lab when not traveling. Candidates must reside in, or be willing to work within, Eastern or Central time zones. Non-local candidates open to relocation are welcome; immediate relocation is not required. Ideal Candidate Traits: Naturally curious and eager to explore emerging technologies. Comfortable working both independently and in interdisciplinary engineering teams. Strong problem-solving skills with a hands-on approach to fieldwork. If you're excited about contributing to advanced machine vision systems and working at the forefront of transportation technology, we'd love to hear from you! Summary: The Sr. Electrical Systems Engineer will deploy, integrate, and maintain AI-driven machine vision inspection portals for rail transportation, performing onsite diagnostics, electrical and embedded systems configuration, and circuit analysis to ensure high-speed imaging reliability. The role requires approximately 35% travel and outdoor fieldwork, collaborating with R&D teams to enhance system performance. Candidates must hold a bachelor's degree in Electrical, Computer, Mechatronics, or Robotics Engineering (master's preferred) and have strong experience in electronics or embedded systems, ideally from utilities, military, telecom, or mobile device industries. Required technical skills include hardware design, PCB and circuit analysis, noise mitigation, and systems integration across hardware, firmware, and software; proficiency in C++ or Python for embedded applications is essential. Experience with IoT, microcontrollers, or machine vision systems is advantageous. The position follows a hybrid schedule (3 days onsite in Atlanta) and requires residence in or willingness to work within the Eastern or Central U.S. time zones.
    $76k-96k yearly est. 3d ago
  • Senior Design Verification Engineer

    Globex Digital 4.2company rating

    San Diego, CA jobs

    Job Title: Verification Engineer (SystemVerilog/UVM) 5-14 years experience Responsibilities Develop and maintain UVM/SystemVerilog-based verification environments for IP, subsystem, and SoC-level testing. Understand design specifications and create comprehensive test plans based on functional and architectural requirements. Build directed and random test cases, perform coverage analysis, and ensure functional/code coverage closure. Debug simulation failures and collaborate closely with RTL designers to resolve issues. Execute regression runs, analyze results, and drive continuous improvements in verification processes. Integrate and run power-aware simulations, perform low-power checks, and work with UPF/CPF as needed. Collaborate with DFT, PD, RTL, and post-silicon validation teams to ensure design quality across domains. Document test environments, test plans, and results for internal and external reviews. Required Skills Strong understanding of SystemVerilog (SV) and UVM, with excellent debugging skills. Solid knowledge of AMBA protocols. Experience in coverage-driven verification and regression management. Familiarity with low-power verification methodologies and UPF/CPF flows. Ability to work in cross-functional teams and deliver high-quality verification solutions.
    $119k-162k yearly est. 2d ago
  • Remote Role - Principal Predictive Analytics Engineer

    Globalsource It 4.0company rating

    Eau Claire, WI jobs

    GlobalSource IT is a niche IT recruiting company. Enough about us, the purpose of this job posting is to tell you about the opportunity at our client. They are a well known food producer and I'm willing to bet you have likely had their products :). They are looking to fill a key senior role to capture and utilize data from their production facilities. This person will revolutionize the way this major employer delivers products to their customers based on this transformation. Please see below for additional details and contact Dave with any questions at ************************. Thanks for reviewing! Job Summary This is a role that combines advanced machine learning research with strategic business analysis, bridging technical innovation and business insight and enabling scalable AI applications and actionable analytics. Develops intelligent solutions that enhance decision-making and operational efficiency across the enterprise. Enables smarter services and informed decisions for our business community. Helps design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools with emphasis on data analytics and machine learning. Collaborates with departments to unlock the value of unstructured data while ensuring transparency, ethics, and equity in AI use. Responsible for strategic and tactical areas, focusing on the high-level design and vision of the predictive analytics ecosystem while building and maintaining the infrastructure and systems that support predictive models in production. Key Responsibilities 1. Designs and implements machine learning models using R, Python, TensorFlow, and Azure ML. 2. Conducts research on and supports experimentation with AI methodologies including NLP, computer vision, and generative models. 3. Analyzes complex datasets using SQL, Power BI, and Excel to uncover trends and opportunities. 4. Collaborates to define requirements and translate them into technical solutions. 5. Documents methodologies, findings, and recommendations for technical and non-technical audiences. 6. Gathers data from internal and external sources to store in the business data lake. 7. Analyzes structured and unstructured data to uncover insights that support operational and strategic goals, including supporting use cases related to IoT devices and measuring points from the production lines. 8. Operationalizes predictive models and integrates them into the company's operational systems. 9. Designs and maintains robust, automated data pipelines (ETL/ELT) that collect, transform, and move data to be used for predictions. 10. Implements best practices for the full lifecycle of machine learning models, including deployment, monitoring, and retraining. 11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient. 12. Ensures the integrity and quality of the data that feeds into the predictive models. 13. Develops dashboards and self-service analytics using tools such as SAP Analytics Cloud (SAC), Power BI, and other supported platforms. 14. Partners with departments to interpret data and tell compelling, actionable stories. Builds future predictions based on current and past data. 15. Supports data governance practices, including metadata standards, data quality monitoring, and data lifecycle management. 16. Works cross-functionally and across all IT areas. Minimum Qualifications (Educations & Experience) 1. Bachelor's degree in related field (i.e., data science, Business Analytics, Computer Science, Statistics, etc.) or equivalent 2. 8+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role Essential Knowledge, Skills, and Abilities • Ample experience in data analytics, AI modeling, machine learning, business analysis, and business intelligence tools • Deep business acumen, gathering and analyzing data from multiple internal and external sources, as well as from various business areas • Strong foundation in statistics, optimization, and data modeling • Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau) • Experience with cloud platforms (Azure, AWS, GCP) • Excellent communication and client/partner engagement skills • Ability to manage multiple projects and prioritize effectively • Familiarity with Agile or Scrum methodologies Preferred Knowledge, Skills, and Abilities • Master's degree in data science, Business Analytics, Computer Science, Statistics, or related field • Experience with LLMs, reinforcement learning, or enterprise AI applications • Experience with SAP, Azure Data Factory, or enterprise data platforms
    $81k-111k yearly est. 20h ago
  • Printed Circuit Board Design Engineer

    Capgemini Engineering 4.5company rating

    San Jose, CA jobs

    Role: Hardware Design Engineer - (high-speed PCBs design and Validation) Hire Type: Full Time About the job you're considering Design and develop high-speed PCBs, perform schematic and board-level reviews, and lead system bring-up using diagnostic tools. Validate and debug hardware at the unit level, ensuring compliance with test plans and documenting root causes and corrective actions. Must have experience with at least two PCB designs. Your role · Design high speed PCBs · Perform schematic and board level reviews. · Bring up PCBs and systems using diagnostic software. · Perform unit level validation of boards and systems following published guideline and test plan. · Debug assigned issues and document root cause and corrective action. · Worked on at least 2 PCB designs Your skills and experience · 5+ years' experience in PCB and system level development preferably in the server/computer/network industry · Experience with lab bring up and design validation. · Knowledge of high speed SerDes (>1G) interfaces, high speed design and signal integrity principles · Knowledgeable in X86 architecture, and a very good understanding of control interfaces such as PCIe, MDIO, SPI, I2C · Knowledgeable with power delivery and distribution techniques · Knowledgeable with CPLDs and FPGAs · Hands on board design knowledge, familiar with design tools including Cadence Concept and Allegro · Experience collaborating with other disciplines, including Diagnostics software, mechanical, signal integrity, thermal, manufacturing. Good communications skills and ability to collaborate in a team environment. Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: · Flexible work · Healthcare including dental, vision, mental health, and well-being programs · Financial well-being programs such as 401(k) and Employee Share Ownership Plan · Paid time off and paid holidays · Paid parental leave · Family building benefits like adoption assistance, surrogacy, and cryopreservation · Social well-being benefits like subsidized back-up child/elder care and tutoring · Mentoring, coaching and learning programs · Employee Resource Groups · Disaster Relief About Capgemini Engineering World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 65,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities &Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet. Capgemini Engineering is an integral part of the Capgemini Group, a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get the future you want | ***************** Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80,800 - $150,800 / year. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Disclaimer Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant http://*****************/resources/equal-employment-opportunity-is-the-law Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
    $80.8k-150.8k yearly 20h ago
  • Remote Role - Principal Predictive Analytics Engineer

    Globalsource It 4.0company rating

    Madison, WI jobs

    GlobalSource IT is a niche IT recruiting company. Enough about us, the purpose of this job posting is to tell you about the opportunity at our client. They are a well known food producer and I'm willing to bet you have likely had their products :). They are looking to fill a key senior role to capture and utilize data from their production facilities. This person will revolutionize the way this major employer delivers products to their customers based on this transformation. Please see below for additional details and contact Dave with any questions at ************************. Thanks for reviewing! Job Summary This is a role that combines advanced machine learning research with strategic business analysis, bridging technical innovation and business insight and enabling scalable AI applications and actionable analytics. Develops intelligent solutions that enhance decision-making and operational efficiency across the enterprise. Enables smarter services and informed decisions for our business community. Helps design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools with emphasis on data analytics and machine learning. Collaborates with departments to unlock the value of unstructured data while ensuring transparency, ethics, and equity in AI use. Responsible for strategic and tactical areas, focusing on the high-level design and vision of the predictive analytics ecosystem while building and maintaining the infrastructure and systems that support predictive models in production. Key Responsibilities 1. Designs and implements machine learning models using R, Python, TensorFlow, and Azure ML. 2. Conducts research on and supports experimentation with AI methodologies including NLP, computer vision, and generative models. 3. Analyzes complex datasets using SQL, Power BI, and Excel to uncover trends and opportunities. 4. Collaborates to define requirements and translate them into technical solutions. 5. Documents methodologies, findings, and recommendations for technical and non-technical audiences. 6. Gathers data from internal and external sources to store in the business data lake. 7. Analyzes structured and unstructured data to uncover insights that support operational and strategic goals, including supporting use cases related to IoT devices and measuring points from the production lines. 8. Operationalizes predictive models and integrates them into the company's operational systems. 9. Designs and maintains robust, automated data pipelines (ETL/ELT) that collect, transform, and move data to be used for predictions. 10. Implements best practices for the full lifecycle of machine learning models, including deployment, monitoring, and retraining. 11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient. 12. Ensures the integrity and quality of the data that feeds into the predictive models. 13. Develops dashboards and self-service analytics using tools such as SAP Analytics Cloud (SAC), Power BI, and other supported platforms. 14. Partners with departments to interpret data and tell compelling, actionable stories. Builds future predictions based on current and past data. 15. Supports data governance practices, including metadata standards, data quality monitoring, and data lifecycle management. 16. Works cross-functionally and across all IT areas. Minimum Qualifications (Educations & Experience) 1. Bachelor's degree in related field (i.e., data science, Business Analytics, Computer Science, Statistics, etc.) or equivalent 2. 8+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role Essential Knowledge, Skills, and Abilities • Ample experience in data analytics, AI modeling, machine learning, business analysis, and business intelligence tools • Deep business acumen, gathering and analyzing data from multiple internal and external sources, as well as from various business areas • Strong foundation in statistics, optimization, and data modeling • Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau) • Experience with cloud platforms (Azure, AWS, GCP) • Excellent communication and client/partner engagement skills • Ability to manage multiple projects and prioritize effectively • Familiarity with Agile or Scrum methodologies Preferred Knowledge, Skills, and Abilities • Master's degree in data science, Business Analytics, Computer Science, Statistics, or related field • Experience with LLMs, reinforcement learning, or enterprise AI applications • Experience with SAP, Azure Data Factory, or enterprise data platforms
    $81k-113k yearly est. 20h ago
  • Remote Role - Principal Predictive Analytics Engineer

    Globalsource It 4.0company rating

    Milwaukee, WI jobs

    GlobalSource IT is a niche IT recruiting company. Enough about us, the purpose of this job posting is to tell you about the opportunity at our client. They are a well known food producer and I'm willing to bet you have likely had their products :). They are looking to fill a key senior role to capture and utilize data from their production facilities. This person will revolutionize the way this major employer delivers products to their customers based on this transformation. Please see below for additional details and contact Dave with any questions at ************************. Thanks for reviewing! Job Summary This is a role that combines advanced machine learning research with strategic business analysis, bridging technical innovation and business insight and enabling scalable AI applications and actionable analytics. Develops intelligent solutions that enhance decision-making and operational efficiency across the enterprise. Enables smarter services and informed decisions for our business community. Helps design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools with emphasis on data analytics and machine learning. Collaborates with departments to unlock the value of unstructured data while ensuring transparency, ethics, and equity in AI use. Responsible for strategic and tactical areas, focusing on the high-level design and vision of the predictive analytics ecosystem while building and maintaining the infrastructure and systems that support predictive models in production. Key Responsibilities 1. Designs and implements machine learning models using R, Python, TensorFlow, and Azure ML. 2. Conducts research on and supports experimentation with AI methodologies including NLP, computer vision, and generative models. 3. Analyzes complex datasets using SQL, Power BI, and Excel to uncover trends and opportunities. 4. Collaborates to define requirements and translate them into technical solutions. 5. Documents methodologies, findings, and recommendations for technical and non-technical audiences. 6. Gathers data from internal and external sources to store in the business data lake. 7. Analyzes structured and unstructured data to uncover insights that support operational and strategic goals, including supporting use cases related to IoT devices and measuring points from the production lines. 8. Operationalizes predictive models and integrates them into the company's operational systems. 9. Designs and maintains robust, automated data pipelines (ETL/ELT) that collect, transform, and move data to be used for predictions. 10. Implements best practices for the full lifecycle of machine learning models, including deployment, monitoring, and retraining. 11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient. 12. Ensures the integrity and quality of the data that feeds into the predictive models. 13. Develops dashboards and self-service analytics using tools such as SAP Analytics Cloud (SAC), Power BI, and other supported platforms. 14. Partners with departments to interpret data and tell compelling, actionable stories. Builds future predictions based on current and past data. 15. Supports data governance practices, including metadata standards, data quality monitoring, and data lifecycle management. 16. Works cross-functionally and across all IT areas. Minimum Qualifications (Educations & Experience) 1. Bachelor's degree in related field (i.e., data science, Business Analytics, Computer Science, Statistics, etc.) or equivalent 2. 8+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role Essential Knowledge, Skills, and Abilities • Ample experience in data analytics, AI modeling, machine learning, business analysis, and business intelligence tools • Deep business acumen, gathering and analyzing data from multiple internal and external sources, as well as from various business areas • Strong foundation in statistics, optimization, and data modeling • Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau) • Experience with cloud platforms (Azure, AWS, GCP) • Excellent communication and client/partner engagement skills • Ability to manage multiple projects and prioritize effectively • Familiarity with Agile or Scrum methodologies Preferred Knowledge, Skills, and Abilities • Master's degree in data science, Business Analytics, Computer Science, Statistics, or related field • Experience with LLMs, reinforcement learning, or enterprise AI applications • Experience with SAP, Azure Data Factory, or enterprise data platforms
    $81k-113k yearly est. 20h ago
  • Remote Role - Principal Predictive Analytics Engineer

    Globalsource It 4.0company rating

    Kenosha, WI jobs

    GlobalSource IT is a niche IT recruiting company. Enough about us, the purpose of this job posting is to tell you about the opportunity at our client. They are a well known food producer and I'm willing to bet you have likely had their products :). They are looking to fill a key senior role to capture and utilize data from their production facilities. This person will revolutionize the way this major employer delivers products to their customers based on this transformation. Please see below for additional details and contact Dave with any questions at ************************. Thanks for reviewing! Job Summary This is a role that combines advanced machine learning research with strategic business analysis, bridging technical innovation and business insight and enabling scalable AI applications and actionable analytics. Develops intelligent solutions that enhance decision-making and operational efficiency across the enterprise. Enables smarter services and informed decisions for our business community. Helps design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools with emphasis on data analytics and machine learning. Collaborates with departments to unlock the value of unstructured data while ensuring transparency, ethics, and equity in AI use. Responsible for strategic and tactical areas, focusing on the high-level design and vision of the predictive analytics ecosystem while building and maintaining the infrastructure and systems that support predictive models in production. Key Responsibilities 1. Designs and implements machine learning models using R, Python, TensorFlow, and Azure ML. 2. Conducts research on and supports experimentation with AI methodologies including NLP, computer vision, and generative models. 3. Analyzes complex datasets using SQL, Power BI, and Excel to uncover trends and opportunities. 4. Collaborates to define requirements and translate them into technical solutions. 5. Documents methodologies, findings, and recommendations for technical and non-technical audiences. 6. Gathers data from internal and external sources to store in the business data lake. 7. Analyzes structured and unstructured data to uncover insights that support operational and strategic goals, including supporting use cases related to IoT devices and measuring points from the production lines. 8. Operationalizes predictive models and integrates them into the company's operational systems. 9. Designs and maintains robust, automated data pipelines (ETL/ELT) that collect, transform, and move data to be used for predictions. 10. Implements best practices for the full lifecycle of machine learning models, including deployment, monitoring, and retraining. 11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient. 12. Ensures the integrity and quality of the data that feeds into the predictive models. 13. Develops dashboards and self-service analytics using tools such as SAP Analytics Cloud (SAC), Power BI, and other supported platforms. 14. Partners with departments to interpret data and tell compelling, actionable stories. Builds future predictions based on current and past data. 15. Supports data governance practices, including metadata standards, data quality monitoring, and data lifecycle management. 16. Works cross-functionally and across all IT areas. Minimum Qualifications (Educations & Experience) 1. Bachelor's degree in related field (i.e., data science, Business Analytics, Computer Science, Statistics, etc.) or equivalent 2. 8+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role Essential Knowledge, Skills, and Abilities • Ample experience in data analytics, AI modeling, machine learning, business analysis, and business intelligence tools • Deep business acumen, gathering and analyzing data from multiple internal and external sources, as well as from various business areas • Strong foundation in statistics, optimization, and data modeling • Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau) • Experience with cloud platforms (Azure, AWS, GCP) • Excellent communication and client/partner engagement skills • Ability to manage multiple projects and prioritize effectively • Familiarity with Agile or Scrum methodologies Preferred Knowledge, Skills, and Abilities • Master's degree in data science, Business Analytics, Computer Science, Statistics, or related field • Experience with LLMs, reinforcement learning, or enterprise AI applications • Experience with SAP, Azure Data Factory, or enterprise data platforms
    $81k-113k yearly est. 1d ago
  • Remote Role - Principal Predictive Analytics Engineer

    Globalsource It 4.0company rating

    Green Bay, WI jobs

    GlobalSource IT is a niche IT recruiting company. Enough about us, the purpose of this job posting is to tell you about the opportunity at our client. They are a well known food producer and I'm willing to bet you have likely had their products :). They are looking to fill a key senior role to capture and utilize data from their production facilities. This person will revolutionize the way this major employer delivers products to their customers based on this transformation. Please see below for additional details and contact Dave with any questions at ************************. Thanks for reviewing! Job Summary This is a role that combines advanced machine learning research with strategic business analysis, bridging technical innovation and business insight and enabling scalable AI applications and actionable analytics. Develops intelligent solutions that enhance decision-making and operational efficiency across the enterprise. Enables smarter services and informed decisions for our business community. Helps design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools with emphasis on data analytics and machine learning. Collaborates with departments to unlock the value of unstructured data while ensuring transparency, ethics, and equity in AI use. Responsible for strategic and tactical areas, focusing on the high-level design and vision of the predictive analytics ecosystem while building and maintaining the infrastructure and systems that support predictive models in production. Key Responsibilities 1. Designs and implements machine learning models using R, Python, TensorFlow, and Azure ML. 2. Conducts research on and supports experimentation with AI methodologies including NLP, computer vision, and generative models. 3. Analyzes complex datasets using SQL, Power BI, and Excel to uncover trends and opportunities. 4. Collaborates to define requirements and translate them into technical solutions. 5. Documents methodologies, findings, and recommendations for technical and non-technical audiences. 6. Gathers data from internal and external sources to store in the business data lake. 7. Analyzes structured and unstructured data to uncover insights that support operational and strategic goals, including supporting use cases related to IoT devices and measuring points from the production lines. 8. Operationalizes predictive models and integrates them into the company's operational systems. 9. Designs and maintains robust, automated data pipelines (ETL/ELT) that collect, transform, and move data to be used for predictions. 10. Implements best practices for the full lifecycle of machine learning models, including deployment, monitoring, and retraining. 11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient. 12. Ensures the integrity and quality of the data that feeds into the predictive models. 13. Develops dashboards and self-service analytics using tools such as SAP Analytics Cloud (SAC), Power BI, and other supported platforms. 14. Partners with departments to interpret data and tell compelling, actionable stories. Builds future predictions based on current and past data. 15. Supports data governance practices, including metadata standards, data quality monitoring, and data lifecycle management. 16. Works cross-functionally and across all IT areas. Minimum Qualifications (Educations & Experience) 1. Bachelor's degree in related field (i.e., data science, Business Analytics, Computer Science, Statistics, etc.) or equivalent 2. 8+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role Essential Knowledge, Skills, and Abilities • Ample experience in data analytics, AI modeling, machine learning, business analysis, and business intelligence tools • Deep business acumen, gathering and analyzing data from multiple internal and external sources, as well as from various business areas • Strong foundation in statistics, optimization, and data modeling • Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau) • Experience with cloud platforms (Azure, AWS, GCP) • Excellent communication and client/partner engagement skills • Ability to manage multiple projects and prioritize effectively • Familiarity with Agile or Scrum methodologies Preferred Knowledge, Skills, and Abilities • Master's degree in data science, Business Analytics, Computer Science, Statistics, or related field • Experience with LLMs, reinforcement learning, or enterprise AI applications • Experience with SAP, Azure Data Factory, or enterprise data platforms
    $81k-112k yearly est. 20h ago
  • Electrical Engineering Technician

    The Judge Group 4.7company rating

    Sunnyvale, CA jobs

    As an Engineering Technician, you'll assemble and maintain test systems, support vehicle engineering tests, and collaborate with engineers and technicians to ensure high-quality results. Responsibilities Wiring, low voltage (12v) Maintain and troubleshoot test equipment to minimize downtime. Assemble mechanical structures and prototype wiring per documentation. Perform light fabrication using machining, shop, and hand tools. Document faults, maintenance, and upgrades. Support vehicle tests such as powertrain durability, endurance, transmission abuse, and environmental systems. Transport vehicles and equipment; assist with test prep and driving on tracks and public roads. Communicate issues and provide feedback on equipment and test performance. Maintain a clean, safe workspace and follow safety regulations. Minimum Qualifications 3+ years of hands-on technical/wiring experience. Strong mechanical assembly and troubleshooting skills. Ability to lift 45 lbs and use hand tools. Excellent communication and organizational skills. Preferred Qualifications Experience with electrical harnesses and cable connections. Familiarity with hazardous material handling. Knowledge of CAN/LIN protocols. Experience with Jira, SharePoint, and Confluence. Background in vehicle systems-especially electric vehicles-or robotics. Experience with Advanced Driver Assistance Systems (ADAS) and thermal systems. Rate: $35-$40/hr
    $35-40 hourly 1d ago
  • Staff Machine Learning Engineer / Principal ML Engineer

    SRS Consulting Inc. 4.2company rating

    San Jose, CA jobs

    Role: Staff Machine Learning Engineer Duration: Long-term Mode of Interview: Virtual & Final In-person Why this role exists We're building privacy‐preserving LLM capabilities that help hardware design teams reason over Verilog/SystemVerilog and RTL artifacts-code generation, refactoring, lint explanation, constraint translation, and spec‐to‐RTL assistance. We're looking for a Staff‐level engineer to technically lead a small, high‐leverage team that fine‐tunes and productizes LLMs for these workflows in a strict enterprise data‐privacy environment. You don't need to be a Verilog/RTL expert to start; curiosity, drive, and deep LLM craftsmanship matter most. Any HDL/EDA fluency is a strong plus. What you'll do (Responsibilities) • Own the technical roadmap for Verilog/RTL‐focused LLM capabilities-from model selection and adaptation to evaluation, deployment, and continuous improvement. • Lead a hands‐on team of applied scientists/engineers: set direction, unblock technically, review designs/code, and raise the bar on experimentation velocity and reliability. • Fine‐tune and customize models using state‐of‐the‐art techniques (LoRA/QLoRA, PEFT, instruction tuning, preference optimization/RLAIF) with robust HDL‐specific evals: o Compile‐/lint‐/simulate‐based pass rates, pass@k for code generation, constrained decoding to enforce syntax, and "does‐it‐synthesize” checks. • Design privacy‐first ML pipelines on AWS: o Training/customization and hosting using Amazon Bedrock (including Anthropic models) where appropriate; SageMaker (or EKS + KServe/Triton/DJL) for bespoke training needs. o Artifacts in S3 with KMS CMKs; isolated VPC subnets & PrivateLink (including Bedrock VPC endpoints), IAM least‐privilege, CloudTrail auditing, and Secrets Manager for credentials. o Enforce encryption in transit/at rest, data minimization, no public egress for customer/RTL corpora. • Stand up dependable model serving: Bedrock model invocation where it fits, and/or low‐latency self‐hosted inference (vLLM/TensorRT‐LLM), autoscaling, and canary/blue‐green rollouts. • Build an evaluation culture: automatic regression suites that run HDL compilers/simulators, measure behavioral fidelity, and detect hallucinations/constraint violations; model cards and experiment tracking (MLflow/Weights & Biases). • Partner deeply with hardware design, CAD/EDA, Security, and Legal to source/prepare datasets (anonymization, redaction, licensing), define acceptance gates, and meet compliance requirements. • Drive productization: integrate LLMs with internal developer tools (IDEs/plug‐ins, code review bots, CI), retrieval (RAG) over internal HDL repos/specs, and safe tool‐use/function‐calling. • Mentor & uplevel: coach ICs on LLM best practices, reproducible training, critical paper reading, and building secure‐by‐default systems. What you'll bring (Minimum qualifications) • 10+ years total engineering experience with 5+ years in ML/AI or large‐scale distributed systems; 3+ years working directly with transformers/LLMs. • Proven track record shipping LLM‐powered features in production and leading ambiguous, cross‐functional initiatives at Staff level. • Deep hands‐on skill with PyTorch, Hugging Face Transformers/PEFT/TRL, distributed training (DeepSpeed/FSDP), quantization‐aware fine‐tuning (LoRA/QLoRA), and constrained/grammar‐guided decoding. • AWS expertise to design and defend secure enterprise deployments, including: o Amazon Bedrock (model selection, Anthropic model usage, model customization, Guardrails, Knowledge Bases, Bedrock runtime APIs, VPC endpoints) o SageMaker (Training, Inference, Pipelines), S3, EC2/EKS/ECR, VPC/Subnets/Security Groups, IAM, KMS, PrivateLink, CloudWatch/CloudTrail, Step Functions, Batch, Secrets Manager. • Strong software engineering fundamentals: testing, CI/CD, observability, performance tuning; Python a must (bonus for Go/Java/C++). • Demonstrated ability to set technical vision and influence across teams; excellent written and verbal communication for execs and engineers. Nice to have (Preferred qualifications) • Familiarity with Verilog/SystemVerilog/RTL workflows: lint, synthesis, timing closure, simulation, formal, test benches, and EDA tools (Synopsys/Cadence/Mentor). • Experience integrating static analysis/AST‐aware tokenization for code models or grammar‐constrained decoding. • RAG at scale over code/specs (vector stores, chunking strategies), tool‐use/function‐calling for code transformation. • Inference optimization: TensorRT‐LLM, KV‐cache optimization, speculative decoding; throughput/latency trade‐offs at batch and token levels. • Model governance/safety in the enterprise: model cards, red‐teaming, secure eval data handling; exposure to SOC2/ISO 27001/NIST frameworks. • Data anonymization, DLP scanning, and code de‐identification to protect IP. What success looks like 90 days • Baseline an HDL‐aware eval harness that compiles/simulates; establish secure AWS training & serving environments (VPC‐only, KMS‐backed, no public egress). • Ship an initial fine‐tuned/customized model with measurable gains vs. base (e.g., +X% compile‐pass rate, −Y% lint findings per K LOC generated). 180 days • Expand customization/training coverage (Bedrock for managed FMs including Anthropic; SageMaker/EKS for bespoke/open models). • Add constrained decoding + retrieval over internal design specs; productionize inference with SLOs (p95 latency, availability) and audited rollout to pilot hardware teams. 12 months • Demonstrably reduce review/iteration cycles for RTL tasks with clear metrics (defect reduction, time‐to‐lint‐clean, % auto‐fix suggestions accepted), and a stable MLOps path for continuous improvement. How we work (Security & privacy by design) • Customer and internal design data remain within private AWS VPCs; access via IAM roles and audited by CloudTrail; all artifacts encrypted with KMS. • No public internet calls for sensitive workloads; Bedrock access via VPC interface endpoints/PrivateLink with endpoint policies; SageMaker and/or EKS run in private subnets. • Data pipelines enforce minimization, tagging, retention windows, and reproducibility; DLP scanning and redaction are first‐class steps. • We produce model cards, data lineage, and evaluation artifacts for every release. Tech you'll touch • Modeling: PyTorch, HF Transformers/PEFT/TRL, DeepSpeed/FSDP, vLLM, TensorRT‐LLM • AWS & MLOps: Amazon Bedrock (Anthropic and other FMs, Guardrails, Knowledge Bases, Runtime APIs), SageMaker (Training/Inference/Pipelines), MLflow/W&B, ECR, EKS/KServe/Triton, Step Functions • Platform/Security: S3 + KMS, IAM, VPC/PrivateLink (incl. Bedrock), CloudWatch/CloudTrail, Secrets Manager • Tooling (nice to have): HDL toolchains for compile/simulate/lint, vector stores (pgvector/OpenSearch), GitHub/GitLab CI
    $149k-200k yearly est. 2d ago
  • Sr. Automation Controls Engineer

    American Unit, Inc. 3.4company rating

    Newark, CA jobs

    On-site in Newark, CA, with weekly travel to LoDi, CA. 6+ Months Contract Project Details: The Sr. Automation Controls Engineer will work closely with the Automation Engineering team to upgrade PC-based systems running operating systems older than Windows 11. This role involves upgrading PCs to Windows 11 IoT LTSC, ensuring all corresponding applications are compatible with the new OS. Applications in scope include older versions of: Rockwell FactoryTalk View ME Edition Cognex Designer Vision-Pro (utilizing deep and edge learning technology) Data acquisition systems The Engineer will be responsible for the upgrade, verification, and validation of systems to ensure functionality post-upgrade. Upgrades and testing will be performed at the main site, with deployment at the satellite site. Experience executing validation protocols in an FDA-regulated industry is required. Must Have Skills: 7+ years of relevant experience. In-depth knowledge of PLC programming and development using Rockwell RSLogix 5000. Expertise in HMIs utilizing FactoryTalk View ME Edition (Rev 7-14). Strong knowledge of Cognex Designer Vision-Pro with deep and edge learning technology. Experience with high-speed medical manufacturing equipment, motion control, servo systems, pneumatic actuators, and robotics. Nice to Have: Experience in FDA-regulated industrial automation. Familiarity with SPEL+ and Epson programming. Education/Certification Requirements: Bachelor's degree in Engineering Day-to-day responsibilities: Upgrade PC-based systems to Windows 11 IoT LTSC. Ensure compatibility of applications, including Rockwell FactoryTalk View ME, Cognex Designer Vision-Pro, SPEL+, Epson programming, and data acquisition systems. Perform bench testing of upgrades before deployment; document findings in compliance with GMP. Deploy upgraded systems in a manufacturing environment. Execute Installation and Operational Qualification (IQ/OQ) protocols.
    $90k-118k yearly est. 2d ago
  • PLC Controls Engineer (2nd Shift)

    The Judge Group 4.7company rating

    Grand Prairie, TX jobs

    Job Title: Controls and Automation Engineer Employment Type: Full-Time, Direct Hire Shift: Second Shift | 1:00 PM - 10:00 PM CT | Typically 6 days/week Salary: $100,000-$120,000 annually + Overtime Eligible Education Requirement: Bachelor's Degree (Mandatory) No visa transfers or sponsorship available, no OPT/CPT/F1 visas Seeking locally based Texas candidates for this role! Job Summary We are seeking a skilled Controls and Automation Engineer to join our manufacturing team in Grand Prairie, TX. This role is responsible for designing, developing, and troubleshooting factory-based electrical control systems and automation equipment. The ideal candidate will have hands-on experience with PLCs, HMI design, and industrial automation systems. Key Responsibilities Design, develop, and troubleshoot electrical control systems and machinery. Program and support PLC-based hardware/software (e.g., Allen-Bradley). Test and maintain electronic equipment used in manufacturing and power transmission. Troubleshoot electrical issues on conveyor systems, motors, drives, and pumps. Use CAD and engineering software for design and documentation. Evaluate and improve existing systems for reliability and performance. Develop and modify operator interfaces and automation platforms. Ensure compliance with OSHA and NFPA-70E safety standards. Supervise and guide maintenance technicians as needed. Analyze production requirements and implement cost-effective solutions. Perform technical calculations for electrical and robotic systems. Manage project timelines, budgets, and quality standards. Support the build and validation of automation systems including pneumatics, servos, VFDs, relays, and robotic integration. Qualifications Bachelor's degree in Electrical/Electronic Engineering or related field. Minimum 2+ years of experience in Electrical Controls/System Engineering. Proficiency in ladder logic programming (Allen-Bradley: PLC5, SLC, ControlLogix 5000-5580). Experience with HMI design tools (FactoryTalk View, Ignition, Wonderware, LabVIEW). Familiarity with Ethernet/IP and basic networking. Knowledge of plant power distribution and motor control systems. Understanding of robotic programming and teach points. Preferred Skills Strong problem-solving and critical thinking abilities. Ability to work independently and in team environments. Excellent communication and multitasking skills. Proactive and resourceful in high-output settings. To Apply: Please send your resume to ********************
    $100k-120k yearly 1d ago
  • Avionics Engineer

    Bcforward 4.7company rating

    Indianapolis, IN jobs

    Job Title: Control System Certification Engineer Hybrid (3 Days Onsite) | Hours: 7:30/8:30 AM - 4/5 PM | Indianapolis, IN This role supports the Software Systems Capability function and is responsible for collaborating with control system development engineers and airworthiness authorities to produce certification work products that comply with the program's certification basis. The engineer will develop system requirements, designs, verification evidence, and traceability documentation for control and monitoring system lifecycle data. The position requires strong domain expertise in control systems, rigorous configuration management, and the ability to interpret and validate certification evidence. Key Responsibilities: Capture requirement validation evidence, use cases, design constraints, and quality, safety, and security attributes for certification deliverables; collaborate with development teams to ensure understanding of certification plans, standards, and configuration management requirements; develop reporting methods to gather lifecycle data and prepare submissions for airworthiness authorities; implement improvements to certification documentation based on stakeholder feedback; work with cross-functional teams to understand relationships between various lifecycle data types; evaluate certification evidence for completeness, correctness, and coverage of objectives; communicate risks or concerns related to the product's ability to meet requirements safely. Required Skills & Experience: Experience in airborne system development and certification; strong control systems background, preferably software-centric (HVAC, engine, brake systems, gas turbines, etc.); proficiency in system requirements development and tools (Cameo experience is a plus); rigorous configuration management experience; understanding of related engineering disciplines; ability to assess certification evidence and provide clear conclusions; strong communication and collaboration skills; ability to manage tasks independently and interface with suppliers, customers, and certification authorities; comfortable working in a team-driven, highly regulated environment. Top 3 Required Skills: (1) Control Systems Experience - software-centric, including HVAC/engine/brake or gas turbine controls. (2) System Requirements Development - especially electronic engine control or experience transferring into Cameo. (3) Configuration Management - strong discipline and documentation rigor.
    $61k-80k yearly est. 20h ago
  • Project Engineer

    Sharp Services 4.5company rating

    Allentown, PA jobs

    Direct, coordinate, and implement engineering projects at all Sharp facilities from concept stages through completion which includes production start-up and technology transfer. This function includes interdepartmental communications with Operations, Finance, QC, Project Managers and Sales. Includes the functional authority for planning, organization, control, integration, and completion of engineering project within area of assigned responsibility by performing the following duties. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. Engineering responsibility for the complete project including planning, design approaches and equipment choices as well as vendor choices. Capable of developing and writing specific project documentation, such as URS, FRS, FAT, SAT and validation protocols as required. Formulate and define technical scope, specifications and objectives of project as it relates to the Estimating Process. Responsible for guiding the appropriate shop and Operations personnel where applicable to complete portions of or complete project tasks. Involved with special projects such as the installation and evaluation of new or modified equipment, experimental projects, recommendations, documentation, and resolution. Coordinates with project team to assure technical project goals are aligned with overall project plan. Responsible for the requisition of equipment whether purchased or designed to complete the project objective, on time and within budget. Demonstrate creativity and ingenuity in the solution of design problems on new and existing machinery. Consider in the design project such factors as simplicity of change over, assembly and disassembly, safety and ergonomics. Assist in writing and reviewing specific procedures, cGMP's and SOP's as required including updating machine manuals, training checklists, etc.. Must be capable of troubleshooting packaging machinery and equipment, while applying knowledge of engineering technology, as part of the Engineering staff. Design, fabricate and assemble new or modified mechanical components or assemblies for products, such as packaging equipment and machinery, machine tools and measuring instruments. Set-up and conduct test of complete units and components under operational conditions to investigate design proposals for improving equipment performance or other factors, or to obtain data for development, standardization and quality control. Possesses a competent knowledge of all equipment and processes. Increase competence through individual technical data, interpretation of mechanical functions, comprehensive discussions with production mechanics, engineers, equipment operators and manufacturers' representatives. Design tooling and machine parts based on layouts and package proposal drawings. Responsible for package proposal drawings, artwork drawings, material layouts and web layouts. Capable of reverse engineering for parts and or assemblies. Maintain and update Engineering databases such as Sample Order, Tool Set Number and Tooling Number. Capable of self-motivation and working with minimal supervision. Must be persuasive and flexible in actions and assume project leadership in a fast-paced production environment. SUPERVISORY RESPONSIBILITIES This job has no supervisory responsibilities but will provide technical support to the Mechanics and Electricians during the construction and start-up of machinery. QUALIFICATIONS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. EDUCATION and/or EXPERIENCE BS degree in Packaging, Electrical or Mechanical Engineering with a minimum of 3 to 5 years related experience and/or training; or equivalent combination of education and experience. Also essential are direct experience in troubleshooting manufacturing lines; ability to plan and coordinate projects; strong written, verbal communication and presentation skills. Preferred attributes include working knowledge of applied manufacturing engineering principles; industry experience in food or pharmaceutical and experience working in FDA/cGMP compliance environments. Working knowledge of AutoCad is a must and experience with Solidworks is a plus. PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel. The employee frequently is required to stand, sit, and talk or hear. The employee is occasionally required to walk; reach with hands and arms; climb or balance; and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is frequently exposed to moving mechanical parts. The noise level in the work environment is usually moderate.
    $63k-80k yearly est. 1d ago
  • Cloud Security Principal Engineer

    Pyramid Consulting, Inc. 4.1company rating

    Philadelphia, PA jobs

    Immediate need for a talented Cloud Security Principal Engineer. This is a 04+months contract opportunity with long-term potential and is located in Philadelphia, PA (Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID:25-94450 Pay Range: $70 - $75/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: Key Skills;Azure Cloud,cloud security, DevSecOps . 12+ years of industry experience in IT/security. Strong expertise in Azure Cloud architecture and security. Deep hands-on experience in cloud security, DevSecOps, and cloud migration. Experience with security scanning tools, vulnerability scanners, SAST/DAST. Strong knowledge of NIST 800-53 and enterprise security compliance. Experience in managing critical vulnerability remediation. Proven history of working in large-scale enterprise migration projects. Strong leadership and communication skills. CISSP (Priority / Highly Preferred) Our client is a leading Healthcare 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, colour, 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.
    $70-75 hourly 1d ago

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