Senior Mechanical Engineer jobs at BAE Systems

Description:THE WORK The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. WHO WE ARE At Lockheed Martin, we're a pioneering aerospace and defense company that's been at the forefront of innovation for decades. With a long-standing history of pushing boundaries, we're now shaping the future of cyber and intelligence. Our team is committed to innovating at the Edge, where we harness the latest advancements in Artificial Intelligence and Machine Learning, and cyber technologies to stay ahead of emerging threats and opportunities WHO YOU ARE At Lockheed Martin, you will work with our team of skilled AI/ML Engineers design, create, test, and productize AI/ML algorithms that learn, predict, and make informed Expert knowledge of multiple programming languages (i.e. Python, Java, C++decisions, meeting the evolving needs of our customers. With strong familiarity with Hadoop, we develop and deploy scalable AI/ML models that integrate with data pipelines, infrastructure, and applications. WHY JOIN US Providing ongoing training, mentorship, and development opportunities to help our cyber and intelligence professionals stay at the forefront of their field and achieve their career goals. Competitive and comprehensive benefits package. Rewards and recognition for your hard work. Medical and dental coverage. 401k retirement savings plan. Paid time off for work/life balance. And more Basic Qualifications: A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university is required. Plus 10 years experience deploying machine learning algorithms is required. Or Bachelor's degree may be substituted for a Master's degree. Plus 17 additional years experience deploying machine learning algorithms. Demonstrated abilities in software engineering and AI/ML model test and evaluation. TS/SCI w/poly Desired Skills: Expert knowledge of multiple programming languages (i.e. Python, Java, C++) is a plus. Clearance Level: TS/SCI w/Poly SP Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $150,800 - $265,880. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: No Career Area: Software Engineering Type: Task Order/IDIQ Shift: First

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. Amazon Web Services (AWS) is looking for an individual to join our Data Center Engineering Operations Team. This committed group works to maintain the critical physical infrastructure that supports Amazon Web Services. Specifically, this team works to ensure that the data center's MEP operates at 100% availability while maintaining first-class customer service to the teams and groups within the data centers. The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. The CE serves as an expert technical resource interacting with onsite Engineering Operations Technicians (EOT) and any third party vendors. They are expected to be a singular focal point for all facility operations within a given data center and to support AWS. Key job responsibilities • Management and leadership of DCEO Engineering Team • Establish performance benchmarks, conduct analysis, and prepare reports on all aspects of the critical facility operations and maintenance • Responsible for the on-site management of shift technicians, senior shift technicians, sub-contractors and vendors • Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc • Data Center capacity planning and reporting • May assist in the design and build out of new facilities • Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency • Deliver quality service and ensure all customer demands are met • Responsible for asset and inventory management • Respond to out of hours emergency calls - second level escalation point for Data Center acilities related issues / failures BASIC QUALIFICATIONS- Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience in vendor management - Experience in a data center or other critical environment - Experience in data center engineering or operations - Experience with Microsoft Office including Outlook, Word, and Excel PREFERRED QUALIFICATIONS- Experience in construction or project management 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 $83,100/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.

Amazon is looking for an energetic, detail-oriented individual to join our Data Center Engineering Operations Team. This committed group works to maintain the critical physical infrastructure that supports Amazon Web Services. Specifically, this team works to ensure that the data center's MEP operates at 100% availability while maintaining first-class customer service to the teams and groups within the data centers. The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves both planned preventative maintenance of equipment, daily corrective work, and emergency response to emergent issues. The CE serves as an expert technical resource reporting to a site's Data Center Facility Manager and interacting with onsite Engineering Operations Technicians (EOT) and any third party vendors. They are expected to be a singular focal point for all facility operations within a given data center and to support Amazon within its owned and operated data centers. Data center equipment that supports mission-critical servers must maintain better than 99.999% uptime. Also expected from the CE is the ability to management small-to-medium impacting projects from conception to completion. These projects involve large amounts of independent work as well as collaboration with external support groups including engineering, automation, processing, and finance in both local and global settings. The CE will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. The goals of such projects are for the CE to drive innovation and resiliency while reducing operational costs in the facilities. The CE directs, trains and supports EOT's in their role of providing hands-on electrical and mechanical equipment troubleshooting and operations. Implementation and execution of site/equipment-specific training exercises is also expected. This equipment includes, but is not limited to, stand-by diesel generators, switchgear, UPS's, PDU's, AHU's, chillers, cooling towers, chemical treatment systems, pumps, motors, VFD's, and building automation systems. 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. Key job responsibilities Key job responsibilities • Oversee the day-to-day operations and maintenance of mechanical and electrical equipment in a data center. • Operate independently with limited direct management • Act as an escalation point for all facilities-related issues within the data center, escalating to the Data Center Facility Manager as needed • Perform root cause analysis of equipment failures • Troubleshoot and report of facility and data sever-level events within internal SLA • Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams • Provide training and guidance to Engineering Operations Technicians • Ensure all safety procedures are adhered to by vendor and Amazon staff • Utilize internal CMMS to manage building workflows • Communicate complex technical information to a non-technical audience Physical Requirements: All physical requirements are expected with reasonable accommodations • Walk job sites in uneven terrain • Work at heights and from ladders • Regularly lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more • Coordinate body movements when using tools or equipment • Reach and stretch to position equipment and fixtures while maintaining balance • Bend or twist the body into unusual positions while working • Perform physical tasks all day without becoming overly tired • Use hands to manipulate small wires and objects • Push or pull heavy objects into position • Work in a noisy environment • Work at depths, such as under raised floors A day in the life Typical day, review and prioritize preventative maintenance schedules for electrical, mechanical, and fire/life safety systems. Conduct facility walkthroughs to identify potential issues before they impact operations. Respond to emergency alarms and coordinate immediate corrective actions with EOTs. Meet with vendor representatives to oversee ongoing maintenance work and ensure compliance with safety protocols. Monitor system performance metrics to maintain 99.999% uptime standards. Provide technical guidance and mentorship to on-site EOTs throughout the shift. Document all activities and update maintenance logs to support continuous facility operations. 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. 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. 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. 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 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. BASIC QUALIFICATIONS- 3+ years of vendor management experience - 4+ years of relevant work in a data center or other critical environment experience - 5+ years of data center engineering or operations experience - 5+ years of Microsoft Office including Outlook, Word, and Excel experience - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience in vendor management - Experience in a data center or other critical environment - Experience in data center engineering or operations - Experience with Microsoft Office including Outlook, Word, and Excel PREFERRED QUALIFICATIONS- 3+ years of construction or project management experience - Electrical or mechanical Journeyman License - operating engineering license such as DC II, DC III, or equivalent - Experience in construction or project management 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 $83,100/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.

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. Amazon Web Services (AWS) is looking for an individual to join our Data Center Engineering Operations Team. This committed group works to maintain the critical physical infrastructure that supports Amazon Web Services. Specifically, this team works to ensure that the data center's MEP operates at 100% availability while maintaining first-class customer service to the teams and groups within the data centers. The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. The CE serves as an expert technical resource interacting with onsite Engineering Operations Technicians (EOT) and any third party vendors. They are expected to be a singular focal point for all facility operations within a given data center and to support AWS. Key job responsibilities • Management and leadership of DCEO Engineering Team • Establish performance benchmarks, conduct analysis, and prepare reports on all aspects of the critical facility operations and maintenance • Responsible for the on-site management of shift technicians, senior shift technicians, sub-contractors and vendors • Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc • Data Center capacity planning and reporting • May assist in the design and build out of new facilities • Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency • Deliver quality service and ensure all customer demands are met • Responsible for asset and inventory management • Respond to out of hours emergency calls - second level escalation point for Data Center acilities related issues / failures BASIC QUALIFICATIONS- Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience in vendor management - Experience in a data center or other critical environment - Experience in data center engineering or operations - Experience with Microsoft Office including Outlook, Word, and Excel PREFERRED QUALIFICATIONS- Experience in construction or project management 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 $83,100/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.

Immediate need for a talented Senior Advanced Mechanical Engineer. This is a 06 months contract opportunity with long-term potential and is located in Phoenix, AZ (Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-93875 Pay Range: $65 - $68.36/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 Responsibilities: Imagine, design and develop products and systems as part of a highly engaged and integrated engineering team. You will collaborate across Client Aerospace engineering teams to create solutions and systems that meet the evolving needs of our customers. You will participate in all phases of product development. Refine your engineering talents in a team-based culture by working with innovative products and technologies. Collaborate in world-class project teams to establish effective solutions to complex engineering problems. Improve the world by working on teams that develop modern solutions to complex problems. Key Requirements and Technology Experience: Bachelor's Degree in Mechanical or Aerospace Engineering 6 years of mechanical design and engineering experience with NX and Teamcenter Experience in engine or APU design Proven application of ASME Y14.5 drawing standards including geometric dimensioning and tolerancing (GD&T), both in generating drawings and checking drawings generated by others 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.

BCforward is seeking a highly motivated and experienced Mechanical AI&T Engineer to join our dynamic team in Los Angeles, CA Mechanical AI&T Engineer Work Arrangement: ONSITE Duration: 3 months (Possible Extension). Key job responsibilities Generate detailed designs via CAD systems and engineering drawings with appropriate geometric dimensioning and tolerancing (GD&T) Support space hardware qualification/acceptance campaigns including: Deliver well-written test plans, procedures, and reports Design of test fixtures Assembly and build of test/flight hardware Develop space hardware assembly build procedures Perform mechanical builds of prototype or space hardware Experience working with cross functional teams and a strong ability to collaborate. Basic qualifications Bachelor's Degree in Mechanical, Structural, and Aeronautical Engineering or related discipline, or equivalent experience 3+ years of experience with Siemens NX CAD package (Siemens NX, NX Teamcenter, GD&T per ASME y14.5) 3+ years of experience in space hardware assembly, integration and test Familiar with mechanical test instrumentation such as thermocouples, RTDs, accelerometers, etc. Familiar with mechanical assembly, typical assembly tools, and space hardware build best practices

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

Job Title: Mechanical Design Engineer Type: Full-Time permanent role with Capgemini About the job you're considering We are seeking an experienced Mechanical Engineer to join our team developing automated mobile heavy equipment that removes humans from the dull, dirty, and dangerous jobs. In this role, you will take ownership of complex mechanical designs, lead cross-functional efforts, and drive the development of safe and reliable automation systems. Your role Own the end-to-end design of major subsystems and ensure successful integration into full systems. Lead cross-functional design reviews, making trade-off decisions between mechanical, electrical, and software requirements. Drive validation at the system level, ensuring performance, reliability, and safety standards are met. Guide design standards, best practices, and process improvements for the mechanical engineering function. Collaborate directly with customers, product management, and suppliers on high-impact initiatives. Mentor and develop junior and mid-level engineers, fostering a culture of technical excellence. Your skills and experience Bachelor's or master's in mechanical engineering (Master's preferred). Deep expertise in CAD software (On shape, SolidWorks, Creo, or similar), including advanced assemblies and design-for-manufacturing practices. Advanced experience in mechanical design and system integration, ideally in automation, robotics, or heavy equipment. Strong record of delivering complex systems from concept to production. Strong understanding of pneumatic and hydraulic systems Deep understanding of Stress/strain (FEA) and vibration analysis is preferred Demonstrated expertise in design-for-manufacturing, prototyping, and testing at scale. Proven ability to influence technical direction and manage competing requirements across disciplines. 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 more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defence, 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 leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion. Get the Future You Want | ***************** Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity 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. 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. 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.

Programmers.io is currently looking for a Product Engineer Onsite Role in McLean, Virginia, United States OPEN FOR C2C OR W2 Prompt Design Optimization Develop, test, and refine prompts for AI models to achieve accurate, context-aware outputs. Create reusable prompt libraries and guardrails for enterprise use cases. Salesforce AI Integration Leverage Salesforce Einstein and Agent force for predictive analytics, conversational AI, and automation. Collaborate with Salesforce architects to embed AI-driven workflows into CRM processes.AI Enablement Governance Define best practices for prompt engineering across teams. Ensure compliance with enterprise security, data privacy, and ethical AI guidelines. Managerial Responsibilities Lead and mentor team members, fostering collaboration and continuous learning. Manage stakeholder relationships and ensure timely delivery of AI initiatives. Oversee project planning, budgeting, and governance for AI-related programs. Cross-functional Collaboration Work closely with developers, architects, and business stakeholders to translate requirements into AI solutions. Conduct workshops and training sessions on effective prompt engineering. If you are interested, please apply or feel free to share your updated resume at ************************

Note: Looking for USC / GC We are seeking an experienced PCB Design Engineer to support the development, qualification, and test engineering of electromechanical medical device components. This role involves hands-on PCB design, board bring-up, supplier collaboration, design transfer, and manufacturing test readiness in a regulated environment. Key Responsibilities PCB Design & Hardware Development Design and develop PCBAs for electromechanical components including switch assemblies and cable assemblies. Perform schematic design, BOM creation, and updates for PCBAs. Support board bring-up, debugging, and board revisions. Conduct design reviews, DFMEA, DFM, and implement design improvements. Develop low-level embedded drivers for on-board peripherals and motor control. Supplier Collaboration & Qualification Work closely with suppliers to meet cost, quality, and performance targets. Lead and monitor component qualification activities with suppliers. Communicate design requirements and process capability expectations effectively. Act as a technical liaison between suppliers and internal design teams. Manufacturing & Process Engineering Apply Measurement System Analysis (MSA) and establish calibration requirements. Conduct Design of Experiments (DOE), process stability, control, and capability studies. Support process characterization, manufacturing readiness, and equipment development. Lead design transfer from development to manufacturing. Testing & Validation (Test Engineering Scope) Write and execute module-level test plans. Develop engineering studies for board-level and device-level testing. Create test specifications for ICT (In-Circuit Test) and FCT (Functional Circuit Test). Review and approve hardware and fixture designs for functional testers. Support ICT/FCT qualification and deployment at manufacturing plants. Troubleshoot test issues and resolve technical roadblocks during deployment. Required Skills & Qualifications Strong experience in PCB design and board bring-up. Hands-on knowledge of DFMEA, DFM, DOE, MSA, and process capability methods. Experience working with ICT/FCT test development and qualification. Familiarity with embedded systems and low-level driver development. Strong supplier management and cross-functional communication skills. Experience in regulated industries (medical devices preferred). Nice to Have Experience with motor control systems Prior exposure to Johnson & Johnson or medical device standards International supplier collaboration experience

Idexcel is seeking a Senior Engineer to join our Enterprise GenAI Engineering Organization and be a key part of the Enterprise GenAI tech team. As a GenAI engineer, you will lead the development cutting-edge generative artificial intelligence solutions using large language models, agentic frameworks, retrieval augmented generation and other innovative technologies. The ideal candidate will have experience in designing, developing, and deploying applications leveraging LLM models and systems, with a strong focus on prompt engineering, RAG implementations, evaluations and agentic frameworks. In this role, you will: · Design, develop, deploy GenAI applications using LM's, agent framework and related technologies · Collaborate with and/or embed with line of business team teams to create reusable components and frameworks to accelerate the delivery of GenAI solutions · Develop and maintain large-scale applications using Java, Python and other relevant technologies (e.g., cloud technologies, containerization, etc) · Develop reference services that can be leveraged enterprise-wide such as document parsing, synthetic data generation, summarization and deep research · Stay up to date with the latest advancements in GenAI, LLM, agentic frameworks and drive innovation to improve existing systems and develop new ones · Troubleshoot and resolve complex technical issues related to applications?and models · Develop GenAI observability solutions to ensure systems are monitored to increase operational efficiency and managed to mitigate risk · Resolve coding, testing and escalated platform issues of a technically challenging nature · Collaborate with the team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives · Collaborate and influence all levels of professionals including managers Required Qualifications: · 4+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education · 4+ years of experience in software development · 4+ years of Java, Python and other relevant technologies · 1+ years of Experience with SDLC and Agile tools such as JIRA, GitHub, Jenkins, Confluence etc. Desired Qualifications: · 1+ year of GenAI and ML concepts, including Evaluations, Fine Tuning and Prompt engineering · Knowledge agentic design patterns · Prompt Engineering concepts such as Zero-Shot, Few-shot, self-consistency and chain of thought prompting

Demonstrated expertise and a strong foundational background in Artificial Intelligence (AI) and Machine Learning (ML), including proficiency with current industry trends and methodologies. Proven track record of successfully delivering AI/ML projects from inception to deployment; prior experience within the financial sector is highly desirable. Solid programming skills, particularly in Python, including scripting, development, and data manipulation.

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.

This is a full-time, remote, and exempt position. We are seeking a Principal Analytics Platform Engineer who will own DUOS' entire data foundation. They build the pipelines, models, tools, and AI-driven capabilities that empower every team-Product, Ops, Client, and Executive-to access clean, consistent, trustworthy data at scale. This role is responsible for evolving DUOS from manual analytics and ad-hoc SQL stitching into a modern, automated, AI-enabled analytics platform. They ensure that DUOS' Senior Staff Data Analyst and business teams spend time on insights, not data plumbing. What You'll Do Data Platform Architecture & Pipeline Ownership Design and own DUOS' data architecture on AWS, ensuring scalable, maintainable infrastructure for all data operations Build robust, automated pipelines for client file ingestion, normalization, deduping, and enrichment. Architect scalable ingestion into Salesforce, Iterable, or other operational systems. Implement versioned, testable, observable data transformations and modeling layers. AI-Enabled Self-Serve Analytics Build AI-driven tools enabling natural-language querying, automated insights, metadata discovery, and semantic layer navigation. Define and maintain DUOS' metrics layer enabling self-serve dashboards and consistent KPI definitions. Evaluate and integrate modern AI analytics tools. High-Quality Data Models & Business Logic Create reusable, well-documented data models powering all dashboards and operational reporting. Ensure consistent, durable logic for funnels, cohorting, attribution, ROI calculations, provider/member analytics, etc. Serve as the architectural owner of “source of truth” data assets. Cross-Functional Integration Own data flows into and out of client systems, marketing systems, Salesforce, and product pipelines. Partner with Engineering to ensure product features are instrumented correctly. Partner with Ops to ensure operational workflows are accurately captured and measurable. Data Quality, Governance, & Observability Implement systematic validation, schema monitoring, anomaly detection, and SLAs for critical data assets. Resolve upstream data issues proactively and improve reliability across ingestion paths. Define standards for naming, modeling, versioning, and documentation. Platform Vision & Leadership Set the long-term vision for DUOS' analytics platform and data architecture. Mentor data analysts, engineers, and cross-functional teams on best practices in analytics engineering, AI-enabled analytics, and data governance. Lead multi-quarter initiatives transforming DUOS into a mature, scalable data organization. What We Are Looking For Expert-level SQL (Athena and PostgreSQL), data modeling, and analytics engineering. Deep experience building data pipelines on AWS. Strong understanding of analytics tools and semantic layer design. Experience building or integrating AI-driven analytics tools. Ability to design complex ingestion workflows with multiple external data sources (Salesforce, Iterable, AWS, etc.). High autonomy, strong architectural judgment, and ability to own company-critical systems end-to-end. What DUOS is All About DUOS is more than just a consumer-focused healthcare company. We're on a mission to reimagine freedom at any age. We form trusted relationships with older adults using technology and community to support fulfilling lives at home. We hire awesome people who are wired for service and arm them with the tools they need to have a life-changing impact on others. Benefits: Medical, Vision, Dental, 401K, Competitive PTO.

Role: Gen AI/ML Engineer Mode of Work: 3 days per week onsite required Required experience: 10+ Years Key Responsibilities: Assist in designing, developing, and training machine learning models. Implement ML pipelines and support model evaluation, optimization, and deployment. Work with data preprocessing tools to clean, transform, and prepare datasets. Collaborate with senior engineers and cross-functional teams to implement ML solutions. Document model behavior, experiments, and results. Support research activities by exploring new techniques, tools, and frameworks. Mandatory Skills: Proficiency in Python. Working knowledge of TensorFlow or PyTorch. Strong understanding of machine learning algorithms and concepts. Preferred Skills: Exposure to data preprocessing tools like Pandas and NumPy. Basic understanding of cloud AI services (AWS, Azure, or GCP).

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.

Are you an experienced R&D Engineer with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced R&D Engineer to work at their company in Maple Grove, MN. Develops products, materials, processes, or equipment for projects of moderate complexity. Under limited supervision/guidance, compiles, analyses, and reports operational, test, and research data to establish performance standards for newly designed or modified products, processes, and materials. This person will be working with other engineers, the design assurance team, and PM staff. Primary Responsibilities/Accountabilities: Fully participates in and successfully contributes to project teams, typically including the following activities: product design and development, test of materials, preparation of specifications, process capability studies, research investigations (animal and clinical studies), report preparation, and process/test documentation. Works independently to plan and schedule own activities necessary to meet timelines. Designs and coordinates standard engineering tests and experiments. Designs, procures, and fabricates tooling and fixtures. Performs troubleshooting on new products/process problems as related to design, material, or process. Summarises, analyses, and draws conclusions from test results. Prepares standard reports/documentation to communicate results to the technical community. Responsible for engineering documentation. Invents/ creates concepts and designs for new products/processes and submits idea disclosures. May train and/or provide work direction to technicians. Works cooperatively with process development, quality, manufacturing, regulatory, clinical, and marketing to ensure project success. Demonstrates PDP/TPD system knowledge through delivery of high-quality deliverables. Build Quality into all aspects of their work by maintaining compliance to all quality requirements. Qualifications: An engineering or physics degree is required 2+ years of experience (internship experience will not be considered for # of years of experience) Hands-on lab experience and test methods MS Office, Operation of equipment & testers Preferred: Tooling / Fixturing experience. 3D print

Minimum Qualifications - Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5+ years of experience designing, developing, and implementing large-scale solutions in production environments Preferred Qualifications - Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training Airline Industry experience Experience working as a platform engineer or in close collaboration with platform engineers Skills, Licenses, and Certifications Proficiency with the following technologies: Programming Languages: Go, Python, React Deployment Technologies: Kubernetes, Docker Source Control: GitHub CICD: GitHub Actions Data management: PostgreSQL, MongoDB, Redis Integration/APIs Technologies: Kafka, REST, GraphQL Cloud Providers such as Azure and AWS Ability to optimize solutions for performance, resiliency and reliability while maintaining an eye toward simplicity Ability to concisely convey ideas verbally, in writing, in code, and in diagrams Ability to optimize system designs spanning multiple teams to allow small, safe, incremental releases Ability to work through others by cooperatively sharing responsibilities Ability to combines deep knowledge of a product domain with awareness of advancing technology to introduce solutions that propel the technical capability of the organization forward. Proficiency in object-oriented design techniques and principles Proficiency in Agile methodologies, such as SCRUM Proficiency in DevOps Toolchain methodologies, including Continuous Integration and Continuous Deployment

BAE Systems Electronic Systems (ES) is seeking an energy engineer to join our energy management team supporting the Eastern region properties; this technical position will report to the Energy and Utility Manager. The energy management team is part of the ES Facilities organization and is focused on driving progress towards the business's resource use reductions goals, lowering utility costs, enhancing environmental performance and embracing new technologies in the operation of the ES sectors national portfolio of buildings. The energy management team is committed to enhancing the bottom line by effectively managing energy, water and waste through design and operation of our facilities. This is a remote position; however the selected candidate will need to reside within the Eastern region. The Eastern region consists of 17 properties encompassing 1.9M square feet of space. The Eastern region is supported by a single energy engineer who will focus on the 5 major sites within this region. The candidate selected for this position will be primarily responsible for facilities in Wayne, NJ; Endicott, NY; Greenlawn, NY; Manassas, VA and Huntsville, AL. Preference will be for candidates within the NY/NJ metro area. The successful candidate will be required to travel regularly to these locations. The Eastern Region Energy Engineer will be an active member of the team at each site, driving engagement in the energy management program at each site and driving the sites progress towards the business' resource reduction goals. The primary function of this position is to act as an energy management resource for each facility. The Role: Lead engagement with site teams at the assigned sites through regular meetings; supporting the sites in identifying reduction opportunities, developing a strategy to meet resource reduction goals, establishing project measurement and verification methodology, and reviewing design documents for upcoming projects. Travel regularly to each site to support the site team in identifying new reduction opportunities, in conducting internal audits and in supporting external audits, in commissioning new projects and in gaining a thorough understanding of the sites operation as it relates to energy consumption. Site visits will likely be weekly to gain familiarity with the facilities and their operations. Develop and scope out capital improvement measures. Support the local facilities team in identifying opportunities to optimize the buildings, equipment and system through continuous commissioning, retro-commissioning, building automation improvements and operations and maintenance measures. Remotely support site team in the development of new reduction projects by conducting feasibility studies and total cost of ownership assessments, estimating energy savings, calculating return on investment estimates, developing project scopes of work, and proactively pursuing funding for new projects to ensure timely implementation. Identify and capture rebates and incentives associated with reduction projects. Make use of building management systems to optimize the buildings operations and to expand the departments insight into energy use at each site. Support quarterly environmental reporting through collection on utility consumption data. Collaborate with the energy management team in piloting new technology and building out a more comprehensive energy management program throughout the business. Work remotely in support of multiple facilities. About BAE Systems Electronic Systems BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference. Electronic Systems (ES) is the global innovator behind BAE Systems' game-changing defense and commercial electronics. Exploiting every electron, we push the limits of what is possible, giving our customers the edge and our employees opportunities to change the world. Our products and capabilities can be found everywhere - from the depths of the ocean to the far reaches of space. At our core are more than 14,000 highly talented Electronic Systems employees with the brightest minds in the industry, we make an impact - for our customers and the communities we serve. This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified. Bachelor's degree in Energy Management, Engineering, Facilities Management, Environmental Technology and 5-7 years of experience in the areas of commercial energy management, energy efficiency, energy auditing, and building infrastructure and systems or equivalent experience Strong interpersonal skills involving interfacing with both internal and external parties Reporting and documentation and proficiency in Microsoft Outlook. Word, Excel, Power Point Strong communication skills Team oriented Proven problem solver, proactive in driving your sites path to emissions reduction Strong organizational skill Strong experience in building automation and management systems and MEP systems Experience in developing energy reduction projects Experience with energy savings calculations Certifications to include Certified Energy Manager, Certified Energy Auditor, Certified Green Building Engineer, LEED etc. Building Optimization Smart Building Technologies Building automation systems Building management systems New and existing building commissioning Retro-commissioning Benefits Information Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics. Intern Benefits: Temporary employees generally are not eligible for BAE Systems benefits, but can elect to participate in the 401(k) savings plan. Temporary employees working 20+ hours per week are eligible for medical benefits, the employee assistance program, and business travel accident insurance. Please note: Some benefits may be different for union employees that are governed by a collective bargaining agreement (CBA) or for positions covered by a wage law called the McNamara-O'Hara Service Contract Act (SCA).