Senior Applications Engineer jobs at Cox Enterprises - 2123 jobs

About Us Point One Navigation is building the future of precise location. Our mission is to deliver a unified location platform that enables autonomy, safety, and efficiency across industries from robotics to transportation. We are a high-performance, high-collaboration team that thrives on solving complex problems, moving fast, and delivering impact. Role Outcome We are looking for a Field Application Engineer (FAE) based in US to support technical adoption and success of our GNSS/GPS SaaS solutions across key accounts globally. You will play a vital role in the go-to-market process, partnering closely with Sales, Product, Customer Success, and Engineering teams around the world. As an FAE you will provide technical advisory and expertise on full system design, have the ability to not only build technical relationships but effectively influence lead engineer and technical decisions through technical storytelling. Must be deeply interested in debugging/troubleshooting/investigating technical challenges. Success in this role means being responsible and owning technical wins and cultivating technical champions with prospects and customers. You'll work with prospects and customers in verticals such as autonomous vehicles, robotics, drones, industrial automation, and precision agriculture. From designing proof-of-concepts to architecture reviews to post-sales support, you'll be instrumental in helping customers succeed with our technology. Immediate Areas of Focus Pre-Sales Technical Engagement: Partner with the Sales team to understand customer needs and deliver technical presentations, workshops, and demos. Design and execute proof-of-concepts (PoCs) to engage deeply with engineering teams and technical stakeholders to guide them through product evaluation and decision-making. Solution Architecture & Design: Lead customers through architecture reviews, deployment planning, and systems integration design involving GNSS corrections, cloud services, autonomy stacks, and embedded systems. Recommend scalable integration strategies and help customers plan for high-precision, real-time positioning deployments. Post-Sales Technical Enablement & Support: Support product integration, onboarding and adoption by providing hands-on technical guidance, documentation, and training. Act as the technical liaison between the customer and internal teams to troubleshoot issues and optimize performance. Ensure successful long-term product usage and contribute to technical success planning for key accounts. Global & Regional Collaboration: Work in close coordination with global counterparts in North America, EU, APAC to ensure alignment on strategy, resources, and product support. Serve as a bridge between customers and the global product/engineering organization, bringing localized insight to the global roadmap. Support internal initiatives such as solution standardization, reusable assets, demo environments, and training content. Qualifications 2+ years of customer facing engineering role 2+ years in a hardware, software and/or GNSS space Ability to travel 25% of time Our Cultural Foundation At Point One, our cultural and operating design is built around one guiding principle: we must move with extreme speed and efficiency of effort to stay in a leadership position. This environment gives people a high level of autonomy and the ability to make a real impact. It also challenges every team member to grow - both professionally and personally. Because we focus on promoting from within rather than relying on external hiring, the opportunities for advancement are tremendous for those who seek them. That said, growth only comes from delivering in the present. What matters most is the job to be done today, not the job you want tomorrow. When we all focus on today's outcomes with excellence, the path to greater responsibility and growth naturally follows. We think about our culture in two dimensions: How We Show Up Every Day These are the behaviors we expect every team member to bring to work - the foundation of being a consummate, high-output teammate: Trust / Assume Best Intent - Trust allows us to move fast. When we start from trust, we spend no time second-guessing or looking for ulterior motives and thus focus all our energy on acting. High Output, Action Oriented - Our default posture is “yes.” We bias toward action and deliver results quickly, knowing that speed and efficiency compound into impact as we unblock others around us. Divine Discontent - We're never satisfied with the status quo and are self-motivated to improve ourselves, our work, and our company. We actively seek feedback in real-time to shorten improvement cycles. No Ego, One Team - Collaboration without ego creates leverage. When we win as one team, we eliminate friction and move faster together. Self Accountability - Taking ownership is the straightest line to learning, self-improvement, and correcting our course of action. And blaming others around us is a fast path to destroying trust. Operating Principles These are the systems and norms that amplify speed and efficiency at the company level: Edge Innovation - We bias toward action over approval. Experiment, decide, and move - failure is just a step toward faster learning. No Hierarchies - We practice self-prioritization and go direct to the source. Flattening layers reduces drag and maximizes autonomy. Customer Experience First - We optimize for the end-to-end customer outcome, not functional or departmental efficiency. This focus cuts waste, aligns priorities, and ensures we spend effort where it matters most. If this role sounds like a fit, we'd love to hear from you. Apply below and join us in shaping the future of precise location. #J-18808-Ljbffr

The Role: Are you a creative and technical problem-solver with a passion for 3D graphics? Join our team of talented engineers and artists to build high-fidelity simulations that will be instrumental in developing safe and reliable self-driving cars. This role offers the rare opportunity to bridge the gap between artistic vision and engineering rigor. You'll work on complex, large-scale virtual environments, addressing critical fidelity and performance challenges that directly impact the safety and reliability of autonomous vehicles. Collaborate within a highly interdisciplinary team of world-class Artists, Engineers, and Research Scientists to redefine the boundaries of simulation technology, and create innovative tools, pipelines, and workflows for artists. What you'll do: 3D Asset Pipeline Development: Lead the development of a cutting-edge asset generation pipeline for our new real-time, GPU-based ray tracing engine, defining the foundational standards and conventions that will drive future advancements in photorealistic simulation. Content Authoring Tools: Integrate external Digital Content Creation tools such as Maya and Unreal Editor with our simulation and rendering stack. Build workflows to author assets for our USD based renderer. Rendering Optimization: Architect and implement advanced content authoring strategies to significantly reduce cloud compute costs, leveraging state-of-the-art techniques in geometry, material, shader, and texture optimization to achieve optimal performance. Performance Monitoring: Develop systems to validate and monitor asset fidelity and performance, actively analyzing realism perceived by computer vision models. Scripting and Automation: Develop tools and scripting APIs to automate the creation and management of assets. Tool Development: Assist artists and engineers via tool development, concept testing of new ideas, and building rapid prototypes. Collaboration: Work closely with engineers, designers, and researchers to understand testing requirements and translate them into effective simulation environments. Work hand in hand with Cruise Machine Learning Engineers to develop simulations that best test and train our ML Models. Quality Assurance: Provide front-line production support across multiple disciplines, troubleshoot assets and scenarios, and help artists with problem-solving. Triage and redirect problems to appropriate engineering teams. Your Skills and Abilities: 5+ years experience as a technical artist (or equivalent capacity) in visual effects, animation, simulators, 3D games, or other high-performance systems. Bachelor's degree or higher in Computer Science, specifically with a concentration or focus in Computer Graphics Proven experience creating Python scripts to streamline content creation Experience with C++ for performance critical engineering and software application development Strong 3D content pipeline knowledge with a deep understanding of modeling, texturing, animation, and lighting. Proficient with profiling tools to diagnose performance issues and identify how to optimize scenes. In-depth knowledge of real-time rendering including physically-based rendering (PBR) pipelines, shader authoring in MDL (or similar shader language) or shader graphs as well as shader performance profiling and optimization. What Will Give You A Competitive Edge: Demonstrated experience in generating high-quality synthetic data for machine learning model training and validation, with an understanding of its critical role in autonomous system development NVidia Optix, MDL, and USD experience is highly desirable Film or VFX Studio tools or Pipeline Engineer experience. Unreal Engine 4 experience with blueprints and material editor Maya experience A portfolio or reel, including a detailed breakdown of your work in each section. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not be representative for positionslocatedoutside of New York, Colorado, California, or Washington. The salary range for this role is ($160,200 and $246,300). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more. #J-18808-Ljbffr

A leading automotive company is seeking a Senior Drive Unit Design Engineer to spearhead the design and development of next generation EV drivetrains. This role involves working within a lubrication and cooling team, owning hardware projects from concept to production, and requires a strong background in engineering. Join a team dedicated to creating a fully electric transportation future, delivering exceptional customer experience and driving positive change in the automotive industry. #J-18808-Ljbffr

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You'll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams. In this position... As a Senior Drive Unit Design engineer, you will be responsible for design and development of Ford's next generation EV drivetrains. You will work within the lubrication and cooling team developing production hardware. You will own hardware from concept to production with exposure to sourcing, validation, and ramp. #J-18808-Ljbffr

A leading automotive company in Mountain View is seeking an Early Career Machine Learning Engineer to develop cutting-edge AI systems for vehicle design and manufacturing. The role requires collaboration with senior engineers, and candidates must have a relevant PhD or Master's degree. Competitive salary range from $130,000 to $170,000, plus benefits including health programs and possible relocation assistance. #J-18808-Ljbffr

The Offline Driving Intelligence team is responsible for developing Foundation Models for prediction and planning, applying them both off-vehicle to provide ML capabilities to simulation and validation and on-vehicle to influence driving models. Our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Prediction and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle. In this role, you will: Develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort, compliance. Contribute to our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field Develop metrics and tools to analyze errors and understand improvements of our systems Collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications PhD degree in Computer Science or related field +1 year of professional experience (top tier publications can remove the need for the year of experience) OR MSc +5y of professional experience in a relevant field. Experience in Planning and / or Prediction using Reinforcement Learning techniques Experience with training and deploying transformer-based model architectures Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in C++ or Fluency in Python with a basic understanding of C++ Bonus Qualifications Top tier publications (NeurIPS, ICML, CVPR) $214,000 - $257,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign‑on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long‑term care insurance, long‑term and short‑term disability insurance, and life insurance. #J-18808-Ljbffr

The Perception team at Zoox is fundamental to our autonomous vehicle technology, creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection, classification, and tracking systems. As a software engineer on the perception mapping team, you will be a key contributor to Zoox's online mapping initiative. You will design, train, validate, and integrate into the stack ML models that detect semantic map elements in the world. Your work will touch on all aspects of ML development, including data gathering, labeling, training, validation, and onboard integration. Your work will enable important milestones to scaling and autonomy capabilities and will be critical to the success of Zoox. In this role, you will: Curate, validate, and label datasets for model training and validation Research, implement, and train ML models to perform semantic map element detection Closely collaborate with validation teams to formulate and execute model validation pipelines Integrate models into the greater onboard autonomy system within compute budgets Be a technical leader on the team, maintaining coding and ML development best practices and contributing to architectural decisions Qualifications: MS or PhD or equivalent experience (5+ years) in Computer Science or related field Experience in computer vision or robotics Experience with training and deploying deep learning models Experience with Python libraries (pytorch, numpy) Bonus Qualifications: Experience with C++ Experience with CUDA and/or GPU programming Experience with mapping related ML techniques $189,000 - $227,000 a year There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. #J-18808-Ljbffr

An automotive giant is seeking a Staff ML Engineer for their ML Compute Platform to scale backend services and contribute to AI infrastructure. Responsibilities include designing software components, improving system efficiency, and leading initiatives. Candidates should have 7+ years of experience and expertise in languages like Go, C++, or Python, as well as a solid background in distributed systems. Join a team that's transforming mobility and tackling complex engineering challenges with AI applications. #J-18808-Ljbffr

Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week or any other frequency dictated by the business. About the Team: Our AI Research team, reporting directly to the Chief AI Officer, is pioneering how cutting-edge machine learning can transform the way vehicles are designed, manufactured, and experienced. We are building the next generation of intelligent systems-integrating multimodal foundation models, generative AI, robotics and predictive maintenance into real-world automotive innovation at global scale. The Role: As an Early Career Machine Learning Engineer, you will contribute to the development of end-to-end AI/ML systems that solve high-stakes problems in robotics and manufacturing at scale. You will work closely with senior engineers and researchers to design, prototype, and deploy state-of-the-art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. You will have the opportunity to translate cutting-edge research into production systems, collaborate with a world-class team of scientists and engineers, and grow your expertise while contributing to GM's AI research agenda and engaging with the broader AI community. What You'll Do: Adapt machine learning architectures for complex industrial applications, including computer vision, robotic manipulation, predictive maintenance, and process optimization Build end-to-end deep learning pipelines that handle multi-modal sensor data (vision, force/torque, proprioception, environmental sensors) Contribute to the development of foundation models and transfer learning frameworks that generalize across diverse industrial scenarios and equipment types Contribute to the development of data collection and annotation strategies to build high quality datasets for training and validating models in industrial settings Work with partner teams to translate technical requirements into ML solutions and support integration efforts Own the deployment and monitoring of ML models in production environments Publish research findings in top-tier venues (for example, NeurIPS, ICML, CVPR) and contribute to GM's presence in the research community Minimum Qualifications: Currently has, or is in the process of obtaining a PhD in the field of Computer Science, Machine Learning, or a related field (STEM focused), or a Master's degree with significant ongoing AI/ ML contributions. PhD Degree must be completed prior to joining General Motors Able to work full time, 40 hours per week What will give you a Competitive Edge (Preferred Qualifications): In depth knowledge about modern deep learning architectures-Transformers, Diffusion Models, CNNs and model training techniques at scale Strong hands-on experience with at least one of the popular AI/ML frameworks (PyTorch, Tensorflow, Keras or JAX) Experience with anomaly detection and predictive maintenance applications through course work, research or projects Experience with reinforcement learning for robotic control or process optimization through course work, research or projects Experience training multimodal deep learning models Demonstrated research contributions in AI/ML technologies through publication of PhD research in top‑tier conferences or journals Ability to formulate research questions from ambiguous problems and apply rigorous experimental methodology including hypothesis formation, evaluation, and statistical analysis Demonstrated track record of publications in top AI/ML conferences or patents demonstrating novel contributions to the field Strong programming skills in Python and familiarity with one or more of systems languages (C++/Java) Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. The salary range for this role is $130,000 - $170,,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. What you'll get from us (Benefits): GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. #J-18808-Ljbffr

Remote: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum. The Role: We are seeking an experienced, technically oriented, impact-driven expert in ML Training Infrastructure with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Staff ML System Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles. What You'll Do: Lead the design and development of scalable, reliable, high-performance ML frameworks to support model training at scale. Lead model training performance analysis and optimization solutions to scale distributed training workflows, maximize resource utilization across heterogeneous hardware environments, and reduce costs. Enhance system observability, debuggability, operational excellence, and user experience. Collaborate with cross-functional teams to integrate new features and technologies into the platform. #J-18808-Ljbffr

The Role: We are seeking a Principal AI Engineer to lead the design and advancement of our AI platform. You will play a key role in shaping the infrastructure that powers large-scale training and cloud inference. This includes accelerating training throughput, scaling multi-modal models, and enabling the next generation of AI-driven driving systems. We're tackling challenges across distributed training, training efficiency, DDP/FSDP, data processing pipelines, and Pytorch model optimization. This is a highly impactful position where your technical leadership will define how we scale AI to achieve autonomy. What You'll Do: Architect, build, and optimize core AI/ML platform infrastructure to support massive-scale model training. Collaborate with data scientists, ML engineers, and software developers to enable seamless workflows from research to production. Drive efficiency in large-scale distributed training and data processing pipelines. Establish best practices for reliability, scalability, and performance across the AI/ML platform. Provide technical leadership and mentorship, guiding teams on platform design, architecture decisions, and emerging technologies. Partner with cross-functional stakeholders to align platform capabilities with business needs and strategic AI initiatives. Your Skills & Abilities (Required Qualifications): Bachelor's degree or higher in Computer Science, related field, or equivalent experience. 8+ years of professional software engineering experience. 4+ years of specialized experience in AI/ML domain (e.g., enabling distributed training for large-scale models). Strong programming skills in Python, with proficiency in frameworks such as PyTorch (preferred) or TensorFlow. Experience with distributed systems, GPU computing, and cloud environments (AWS, GCP, or Azure). Comfortable operating in highly ambiguous and dynamic environments. Willingness to travel to Sunnyvale, CA as needed. What Will Give You a Competitive Edge (Preferred Qualifications): Proven track record of self-motivation, execution, and delivering impact. Deep expertise with PyTorch 2.x+ and distributed training frameworks. Strong skills in profiling, analysis, debugging, and optimizing training performance (e.g., avoiding memory fragmentation, operation fusion). Proficiency in C++ for performance-critical components. Experience leading cross-functional projects and aligning diverse stakeholders on priorities. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $197,600 to $374,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Work Location: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum. #J-18808-Ljbffr

**Job Description****Staff ML Engineer, ML Compute Platform****About the Team:**The ML Compute Platform is part of the AI Compute Platform organization within Infrastructure Platforms. Our team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI. We're proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for GM and its customers.We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the training and deployment of state-of-the-art (SOTA) machine learning models with a focus on performance, availability, concurrency, and scalability. We're committed to maximizing GPU utilization across platforms while maintaining reliability and cost efficiency. **About the Role:**We are looking for a Staff Software Engineer to join our team and help us scale our platform for performance, reliability, and usability. You'll be responsible for building critical backend services, integrating with GPU hardware and orchestration systems, and driving improvements to both system architecture and user experience.This is a hands-on engineering role that requires a strong background in distributed systems, infrastructure, and a product mindset with a keen eye for user experience.**What you'll be doing:*** Design core platform backend software components* Experience cloud platforms like GCP, Azure* Thrive in a dynamic, multi-tasking environment with ever-evolving priorities. Interface with other teams to incorporate their innovations and vice versa* Analyze and improve efficiency, scalability, and stability of various system resources* Proactively identify, drive and design large initiatives across GM ML ecosystem**At a Minimum We'd Like You To Have*** 7+ years of industry experience* Expertise in either Go, C++, Python or other relevant coding languages* Strong background with kubernetes at scale* Relevant experience building large-scale with distributed systems* Experience leading and driving large scale initiatives* Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services**It's Preferred If You Have*** Hands-on experience in ML platforms* Experience with GPU/TPU optimizations* Experience with training frameworks like PyTorch, TorchX* Experience with Ray framework* Leadership/active participation in the open source community* Experience infrastructure applications or similar experience If you're excited to tackle some of today's most complex engineering challenges, see the impact of your work in real-world AV applications, and help shape the future of AI infrastructure at GM-this is the team for you. **Compensation:*** The expected base CA compensation for this role is: $198,900 - $304,800. Actual base compensation within the identified range will vary based on factors relevant to the position.* You also need to include general information about potential commissions, if applicable.**Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance.* **Benefits:** GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.**Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.**About GM**Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.**Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.**Benefits Overview**From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting .**Non-Discrimination and Equal Employment Opportunities (U.S.)**General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit .**Accommodations**General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, **email**us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest. #J-18808-Ljbffr

Work for the Smart Safety Company We are seeking an experienced Applications Engineer to support the development, integration, and optimization of electronic control and lighting systems for fire apparatus and emergency vehicles. This role requires a strong background in ladder logic programming, CAN protocol, and multiplexing systems, with hands-on experience in vehicle electrical systems and control architectures. ESSENTIAL DUTIES AND RESPONSIBILITIES: Design and develop control logic using ladder logic, structured text, and/or function block diagrams for vehicle automation and lighting control. Integrate and troubleshoot CAN-based multiplexing systems (e.g., J1939, proprietary protocols) for emergency vehicle applications. Work closely with OEMs, upfitters, and engineering teams to define application requirements and implement tailored solutions. Interpret electrical schematics and develop system architecture documentation and wiring diagrams. Support field installations, diagnostics, and issue resolution across customer platforms. Interface with product management and sales to align system capabilities with customer needs. Conduct training and create technical documentation for internal and external stakeholders. EDUCATION AND/OR EXPERIENCE: Bachelor's degree in Electrical Engineering, Mechatronics, or related field (or equivalent experience). 3+ years of experience in vehicle electronics, preferably within fire, EMS, or utility vehicle markets. Proficiency in ladder logic programming. Deep understanding of CAN protocol, including J1939 and CANopen; ability to use CAN analyzers. Hands-on experience with vehicle automation/multiplexing systems. Strong knowledge of 12V/24V vehicle electrical systems and components. Ability to travel to customer sites for system commissioning or support. PREFERRED SKILLS: Experience with fire and emergency vehicle standards (e.g., NFPA 1901). Understanding of EMI/EMC considerations in vehicle applications. Experience with HMI displays, I/O modules, and diagnostic tools. Meet the Smart Safety Company At Safe Fleet our name says it all. We make fleet vehicles - and everyone in and around them - safer. Our fleet safety platform brings together best-in-class products, ground-breaking technology, and a 100-year history of fleet know-how and innovation to solve the world's biggest fleet safety problems. We are re-defining what safety means for fleets of every type - from school buses to waste collection trucks, firefighting to utility vehicles, police cruisers to delivery vans. At Safe Fleet, you are empowered to build a career that will take you where you want to go. You'll enjoy the freedom to explore new projects, the support to think outside the box and the tools necessary to achieve personal success. We offer a comprehensive compensation package, including Medical, Dental, 401K and bonuses. We are a fast-growing manufacturing, service, and technology company with over 1700 employees in over 20 locations across Canada and the US. We're looking for motivated self-starters with innovative thinking to join our team and help us achieve our growth and performance goals. Sound like you? *Safe Fleet does not discriminate in hiring or employment on the basis of race, color, religion, gender, marital status, national origin, sexual orientation, age, disability, ancestry veteran status or any other status protected by law. New York Salary range: $90,000-120,000 USD

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? **In this position...** The Power Supply Application Engineer is responsible for sizing, packaging, validating, and releasing the starting/charging system for ICE (Internal Combustion Engine) and EV (Electric Vehicle) applications. This includes several key components: Alternator, Starter, Battery, ASIL (Automotive Safety Integrity Level) rated redundant Power supply components including additional Batteries, Ultra Capacitors, and Battery Management Sensors (BMS). **What you'll do...** + Perform Charge Margin analysis with time average, transient, and ASIL sizing models + Interface with program team to package all components in a suitable location + Interact with Powertrain FEAD (Front End Accessory Drive) to ensure proper belt loading and mounting structure for the alternator + Interact with Powertrain to ensure proper interface for the starter motor + Interact with Powertrain calibrators to establish and confirm charging system related calibration values such as electrical idle kickers to support charge margins + Work with suppliers to develop design concepts and define the costs that support the application both electrically and mechanically. Lead To4 (Team of Four) meetings. + Gain approval from the program for all tooling, piece costs, and ED&T (Engineering Design & Testing) associated with power supply components + Work with VO (Vehicle Assembly Operations) to ensure component package meets assembly and ergonomic targets + Work with VO and supplier to develop proper dunnage + Work with FCSD (Ford Customer Service Division) to ensure proper serviceability of power supply components + FEDEBOM (Bill of Materials) / WERS (Worldwide Engineering Release System) release final designs for all power supply components (Alternator, Battery, Battery Labels, Battery Blankets, Starter, Starter Fasteners/Torque specs, Solenoid caps, BMS Sensors, ASIL Ultra capacitors and Energy Modules, etc...) + Complete component FMA (Failure Mode Analysis) documentation including CPAs (Change Point Analysis) and SCCAFs (Special Characteristics Communication and Agreement Form) + Signoff for all vehicle builds (TDC, DCV, TT, PP) at multiple locations + Establish required SDS (System Design Specifications) testing through FEDEDVP (Design Validation Plan) for each program and upload test results + Support VEV (Vehicle Evaluation & Verification) Wind tunnel testing to validate sizing and component temperatures on each application + Conduct cold crank testing to verify battery CCA (Cold Cranking Amps) sizing for powertrain cold crank RPM target + Support/Conduct Garage test to verify Static loads, Key Off Loads, Volt drops, Idle up, and failure diagnostics + Interact with EDS (Electrical Distribution System) team to ensure proper wire size and connections to interface with our components and to meet system volt drop + Lead TDRs (Technical Design Reviews) prior to key program milestone events (TDJ, FDJ, PEC) + Interact with Purchasing and Suppliers to complete ESOW's (Engineering Statement of Work) and Supplier Sourcing Contracts / Supplier on Board Agreements (SOBA)...Handled via Tof4 meetings + Review, edit, and signoff Owner and Workshop manuals for Power Supply content + Monitor AIMs (Automated Issues Management) and DURIS (Durability Information System) and react to any issues and follow to closure. + Monitor and react as needed to warranty trends + React to Voice of the Customer Fleet issues and follow to closure. + Support Fuel Economy team with development and certification testing as related to BMS. + Support TVM (Team Value Management) efforts to implement agreed cost reduction changes **You'll have...** + Bachelor's degree in Electrical Engineering or Mechanical Engineering. + Fundamental understanding of electrical architectures and electrical systems (circuit analysis, power distribution principles). + Proficient in Microsoft Office Suite (Excel, Project, Word, PowerPoint). + Full professional command of the English language (written and verbal). + Ability to work effectively within a diverse team environment to accomplish the goals of FORD+ (interfacing with program teams, suppliers, and cross-functional departments). + Ability to perform engineering analysis (such as sizing models or load calculations) and problem-solving. **Even better, you may have...** + Advanced degree (Master's or PhD) in Engineering. + Familiarity with Ford internal processes and tools, including: + WERS, FEDEBOM, GPDS. + FEDEDVP, GPIRS, AIMs, DURIS. + DOCMAN (2D Drawings), ESOWs. + Experience with Network Communication tools such as CANalyzer, PTDiag, and Vehicle Spy (Vspy). + Knowledge of Team Center Enterprise (TCe), CATIA/3Dx data structures, or Digital Pre-Assembly (DPA). + Familiarity with Vehicle Operations (VO) and Customer Service (FCSD) requirements. + Understanding of Powertrain FEAD (Front End Accessory Drive) or High Voltage/48V systems. + Exposure to ASIL (Automotive Safety Integrity Level) standards. + Prior experience leading projects or people is a plus. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including: + Immediate medical, dental, vision and prescription drug coverage + Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more + Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more + Vehicle discount program for employees and family members and management leases + Tuition assistance + Established and active employee resource groups + Paid time off for individual and team community service + A generous schedule of paid holidays, including the week between Christmas and New Year's Day + Paid time off and the option to purchase additional vacation time. For more information on salary and benefits, click here (****************************** This position is a range of salary grades 5 - 8 . Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-DP1 **Requisition ID** : 55016

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? In this position... The Power Supply Application Engineer is responsible for sizing, packaging, validating, and releasing the starting/charging system for ICE (Internal Combustion Engine) and EV (Electric Vehicle) applications. This includes several key components: Alternator, Starter, Battery, ASIL (Automotive Safety Integrity Level) rated redundant Power supply components including additional Batteries, Ultra Capacitors, and Battery Management Sensors (BMS). Responsibilities What you'll do... Perform Charge Margin analysis with time average, transient, and ASIL sizing models Interface with program team to package all components in a suitable location Interact with Powertrain FEAD (Front End Accessory Drive) to ensure proper belt loading and mounting structure for the alternator Interact with Powertrain to ensure proper interface for the starter motor Interact with Powertrain calibrators to establish and confirm charging system related calibration values such as electrical idle kickers to support charge margins Work with suppliers to develop design concepts and define the costs that support the application both electrically and mechanically. Lead To4 (Team of Four) meetings. Gain approval from the program for all tooling, piece costs, and ED&T (Engineering Design & Testing) associated with power supply components Work with VO (Vehicle Assembly Operations) to ensure component package meets assembly and ergonomic targets Work with VO and supplier to develop proper dunnage Work with FCSD (Ford Customer Service Division) to ensure proper serviceability of power supply components FEDEBOM (Bill of Materials) / WERS (Worldwide Engineering Release System) release final designs for all power supply components (Alternator, Battery, Battery Labels, Battery Blankets, Starter, Starter Fasteners/Torque specs, Solenoid caps, BMS Sensors, ASIL Ultra capacitors and Energy Modules, etc…) Complete component FMA (Failure Mode Analysis) documentation including CPAs (Change Point Analysis) and SCCAFs (Special Characteristics Communication and Agreement Form) Signoff for all vehicle builds (TDC, DCV, TT, PP) at multiple locations Establish required SDS (System Design Specifications) testing through FEDEDVP (Design Validation Plan) for each program and upload test results Support VEV (Vehicle Evaluation & Verification) Wind tunnel testing to validate sizing and component temperatures on each application Conduct cold crank testing to verify battery CCA (Cold Cranking Amps) sizing for powertrain cold crank RPM target Support/Conduct Garage test to verify Static loads, Key Off Loads, Volt drops, Idle up, and failure diagnostics Interact with EDS (Electrical Distribution System) team to ensure proper wire size and connections to interface with our components and to meet system volt drop Lead TDRs (Technical Design Reviews) prior to key program milestone events (TDJ, FDJ, PEC) Interact with Purchasing and Suppliers to complete ESOW's (Engineering Statement of Work) and Supplier Sourcing Contracts / Supplier on Board Agreements (SOBA)…Handled via Tof4 meetings Review, edit, and signoff Owner and Workshop manuals for Power Supply content Monitor AIMs (Automated Issues Management) and DURIS (Durability Information System) and react to any issues and follow to closure. Monitor and react as needed to warranty trends React to Voice of the Customer Fleet issues and follow to closure. Support Fuel Economy team with development and certification testing as related to BMS. Support TVM (Team Value Management) efforts to implement agreed cost reduction changes Qualifications You'll have... Bachelor's degree in Electrical Engineering or Mechanical Engineering. Fundamental understanding of electrical architectures and electrical systems (circuit analysis, power distribution principles). Proficient in Microsoft Office Suite (Excel, Project, Word, PowerPoint). Full professional command of the English language (written and verbal). Ability to work effectively within a diverse team environment to accomplish the goals of FORD+ (interfacing with program teams, suppliers, and cross-functional departments). Ability to perform engineering analysis (such as sizing models or load calculations) and problem-solving. Even better, you may have... Advanced degree (Master's or PhD) in Engineering. Familiarity with Ford internal processes and tools, including: WERS, FEDEBOM, GPDS. FEDEDVP, GPIRS, AIMs, DURIS. DOCMAN (2D Drawings), ESOWs. Experience with Network Communication tools such as CANalyzer, PTDiag, and Vehicle Spy (Vspy). Knowledge of Team Center Enterprise (TCe), CATIA/3Dx data structures, or Digital Pre-Assembly (DPA). Familiarity with Vehicle Operations (VO) and Customer Service (FCSD) requirements. Understanding of Powertrain FEAD (Front End Accessory Drive) or High Voltage/48V systems. Exposure to ASIL (Automotive Safety Integrity Level) standards. Prior experience leading projects or people is a plus. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more Vehicle discount program for employees and family members and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Year's Day Paid time off and the option to purchase additional vacation time. For more information on salary and benefits, click here This position is a range of salary grades 5 - 8 . Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-DP1

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? In this position... The Power Supply Application Engineer is responsible for sizing, packaging, validating, and releasing the starting/charging system for ICE (Internal Combustion Engine) and EV (Electric Vehicle) applications. This includes several key components: Alternator, Starter, Battery, ASIL (Automotive Safety Integrity Level) rated redundant Power supply components including additional Batteries, Ultra Capacitors, and Battery Management Sensors (BMS). The Power Supply Application Engineer is responsible for sizing, packaging, validating, and releasing the starting/charging system for ICE (Internal Combustion Engine) and EV (Electric Vehicle) applications. This includes several key components: Alternator, Starter, Battery, ASIL (Automotive Safety Integrity Level) rated redundant Power supply components including additional Batteries, Ultra Capacitors, and Battery Management Sensors (BMS). What you'll do... * Perform Charge Margin analysis with time average, transient, and ASIL sizing models * Interface with program team to package all components in a suitable location * Interact with Powertrain FEAD (Front End Accessory Drive) to ensure proper belt loading and mounting structure for the alternator * Interact with Powertrain to ensure proper interface for the starter motor * Interact with Powertrain calibrators to establish and confirm charging system related calibration values such as electrical idle kickers to support charge margins * Work with suppliers to develop design concepts and define the costs that support the application both electrically and mechanically. Lead To4 (Team of Four) meetings. * Gain approval from the program for all tooling, piece costs, and ED&T (Engineering Design & Testing) associated with power supply components * Work with VO (Vehicle Assembly Operations) to ensure component package meets assembly and ergonomic targets * Work with VO and supplier to develop proper dunnage * Work with FCSD (Ford Customer Service Division) to ensure proper serviceability of power supply components * FEDEBOM (Bill of Materials) / WERS (Worldwide Engineering Release System) release final designs for all power supply components (Alternator, Battery, Battery Labels, Battery Blankets, Starter, Starter Fasteners/Torque specs, Solenoid caps, BMS Sensors, ASIL Ultra capacitors and Energy Modules, etc…) * Complete component FMA (Failure Mode Analysis) documentation including CPAs (Change Point Analysis) and SCCAFs (Special Characteristics Communication and Agreement Form) * Signoff for all vehicle builds (TDC, DCV, TT, PP) at multiple locations * Establish required SDS (System Design Specifications) testing through FEDEDVP (Design Validation Plan) for each program and upload test results * Support VEV (Vehicle Evaluation & Verification) Wind tunnel testing to validate sizing and component temperatures on each application * Conduct cold crank testing to verify battery CCA (Cold Cranking Amps) sizing for powertrain cold crank RPM target * Support/Conduct Garage test to verify Static loads, Key Off Loads, Volt drops, Idle up, and failure diagnostics * Interact with EDS (Electrical Distribution System) team to ensure proper wire size and connections to interface with our components and to meet system volt drop * Lead TDRs (Technical Design Reviews) prior to key program milestone events (TDJ, FDJ, PEC) * Interact with Purchasing and Suppliers to complete ESOW's (Engineering Statement of Work) and Supplier Sourcing Contracts / Supplier on Board Agreements (SOBA)…Handled via Tof4 meetings * Review, edit, and signoff Owner and Workshop manuals for Power Supply content * Monitor AIMs (Automated Issues Management) and DURIS (Durability Information System) and react to any issues and follow to closure. * Monitor and react as needed to warranty trends * React to Voice of the Customer Fleet issues and follow to closure. * Support Fuel Economy team with development and certification testing as related to BMS. * Support TVM (Team Value Management) efforts to implement agreed cost reduction changes What you'll do... * Perform Charge Margin analysis with time average, transient, and ASIL sizing models * Interface with program team to package all components in a suitable location * Interact with Powertrain FEAD (Front End Accessory Drive) to ensure proper belt loading and mounting structure for the alternator * Interact with Powertrain to ensure proper interface for the starter motor * Interact with Powertrain calibrators to establish and confirm charging system related calibration values such as electrical idle kickers to support charge margins * Work with suppliers to develop design concepts and define the costs that support the application both electrically and mechanically. Lead To4 (Team of Four) meetings. * Gain approval from the program for all tooling, piece costs, and ED&T (Engineering Design & Testing) associated with power supply components * Work with VO (Vehicle Assembly Operations) to ensure component package meets assembly and ergonomic targets * Work with VO and supplier to develop proper dunnage * Work with FCSD (Ford Customer Service Division) to ensure proper serviceability of power supply components * FEDEBOM (Bill of Materials) / WERS (Worldwide Engineering Release System) release final designs for all power supply components (Alternator, Battery, Battery Labels, Battery Blankets, Starter, Starter Fasteners/Torque specs, Solenoid caps, BMS Sensors, ASIL Ultra capacitors and Energy Modules, etc…) * Complete component FMA (Failure Mode Analysis) documentation including CPAs (Change Point Analysis) and SCCAFs (Special Characteristics Communication and Agreement Form) * Signoff for all vehicle builds (TDC, DCV, TT, PP) at multiple locations * Establish required SDS (System Design Specifications) testing through FEDEDVP (Design Validation Plan) for each program and upload test results * Support VEV (Vehicle Evaluation & Verification) Wind tunnel testing to validate sizing and component temperatures on each application * Conduct cold crank testing to verify battery CCA (Cold Cranking Amps) sizing for powertrain cold crank RPM target * Support/Conduct Garage test to verify Static loads, Key Off Loads, Volt drops, Idle up, and failure diagnostics * Interact with EDS (Electrical Distribution System) team to ensure proper wire size and connections to interface with our components and to meet system volt drop * Lead TDRs (Technical Design Reviews) prior to key program milestone events (TDJ, FDJ, PEC) * Interact with Purchasing and Suppliers to complete ESOW's (Engineering Statement of Work) and Supplier Sourcing Contracts / Supplier on Board Agreements (SOBA)…Handled via Tof4 meetings * Review, edit, and signoff Owner and Workshop manuals for Power Supply content * Monitor AIMs (Automated Issues Management) and DURIS (Durability Information System) and react to any issues and follow to closure. * Monitor and react as needed to warranty trends * React to Voice of the Customer Fleet issues and follow to closure. * Support Fuel Economy team with development and certification testing as related to BMS. * Support TVM (Team Value Management) efforts to implement agreed cost reduction changes

The Chief Engineering team is the fully accountable single point technical contact for transmission and driveline products and includes all aspects of product delivery for current production, new product development, or advanced projects. (the “what” and the “when”.) The Application Engineer will report to the Chief Engineer and will act as the primary owner of the application matrix and interface between the CE group and vehicle team for requirements and delivery of the transmission and driveline products, including assembly plants. The job duties and responsibilities include: Responsible for supporting the Chief Engineer (CE) in the execution of designated programs Supports the development of high-level Applications Matrix (working with the Design System Engineer) including all interface requirements for given programs for all variants and various vehicle platforms. Ensures all applications fall within the design envelopes of the the transmission and driveline products Coordinates packaging studies with each vehicle application to ensure all clearance requirements are met. Leads advanced vehicle adaptation designs studies and freezes Negotiates requirements with vehicle platforms based on product limitations and capabilities Owns the Transmission Technical Specifications and communicates application specific requirements to the team (i.e. max torque, NVH, FE, tire size, FD ratio selection, mass, etc.) Defines and tracks adherence to robust vehicle level and system level/sub-system functional objectives Leads and coordinates the required Virtual Duty Cycle analysis(es) working with Propulsion Systems Virtual PT (Rotational) and Vehicle Loads / Durability team for Structural duty cycle (BCxx) Coordinates external interface(s) design changes that require platform approval. Perform TOS as required. Develops, manages & communicates external design or assembly issues and change management. Responsible for the review and approval of the Application Checklist for each CN Coordination of application specific design variants (TCMs, adaptive hardware, dampers, vents, LV & HV wire connections, bracket attachments, etc) including controls & calibration strategies Represents chief organization on vehicle assembly plant requirements & events (i.e. supports pilot builds, EOL test, VIN marking, build issues, etc.). Drives Layered Audits process across supplier plant(s) to ensure manufacturing / heat-treatment / assembly processes and control plan robustness Leads Build Readiness tasks (instrumentation plan, dyno support) Develops Benchmarking Plan working closely with Assistant Chief Engineer on competitive products Coordinates COE assessments of bulletins and engineering response to bulletins working closely with ACE (or CE) Coordinates data generation and approvals of AES/BES regulatory documents Updates and coordinates approvals of owner's manuals Updates and coordinates approvals of CP, Compliance Report Standards Knowledge, Skills, and Abilities: Ability to navigate complex stakeholder relationships and uncertainty and effect lasting change through effective communication and experience. Proactive, learning, self-driven, teamwork oriented. Efficient work under pressure and high communication skills. Training in problem solving techniques. Must be able to manage multiple projects simultaneously. Experience with Design Failure Mode & Effects Analysis (DFMEA). Experience with Design Verification Plan & Report (DVP&R) Experience with Geometric Dimensioning and Tolerancing (GD&T)

The Engineer will Manage CQI and GIMS cross functional task force teams, create priorities, action plans and track progress, align and update initiatives list, be the first responder to Component Quality Analysis Team New Emerging Issue alerts, will interact with DSE, MFG and DRE to develop the next steps plan, document the plan to the team, coordinate any next steps and track progress working side by side with DSE/DRE setting up plans or tests needed and will update status and results into GIMS, our Quality Initiatives documents and QEC teardown results database. The Engineer also manages the development of the Applications Matrix including all interface requirements for given programs including all variants and various vehicle platforms, coordinates packaging studies with each vehicle application to ensure all clearance requirements are met, Leads advanced vehicle adaptation designs studies and freezes, updates and coordinates approvals of International Product Spec releases, updates and coordinates approvals of owners manuals, updates and coordinates approvals of CP, Compliance Report Standards and negotiates requirements with vehicle platforms based on product limitations and capabilities. The Candidate also: Owns the Transmission Technical Specifications (TTS) and communicates application specific requirements to the team (i.e. max torque, NVH, FE, tire size, FDR selection, mass, etc) Defines and tracks adherence to robust vehicle level and system level/sub-system functional objectives Coordinates external design changes that require platform approval. Perform TOS as required. Develops, manages & communicates external issues and change management. Responsible for the review and approval of the Application Checklist for each CN Coordination of application specific designs (torque converter, dampers, vents, LV & HV wire connections, bracket attachments, trans oil cooling, PIM and e-motor integration, etc) including controls & calibration strategies Represents chief organization on vehicle assembly plant requirements & events (i.e. supports pilot builds, EOL test, VIN marking, build issues, etc.). Development Manager leads vehicle assembly issues. AE supports. Leads Build Readiness tasks (instrumentation plan, dyno support) Coordinates COE assessments of bulletins and AT engineering response to bulletins Manage prototype hardware procurements and ED&D reqs Manage BRT (Build Readiness Team) for prototype orders Lead for shipping & receiving parts/transmissions for builds to/from suppliers

Job Description The FSR / Application Engineer serves as the primary technical liaison between the company, customers, and field operations. This role is responsible for developing technical publications and manuals, providing effective training on product operation and maintenance, managing warranty issues, and delivering technical support throughout the product lifecycle. The position also collaborates with engineering teams to support product testing, design changes, and customer-driven improvements. Responsibilities: Develop, update, and maintain all technical publications and manuals by vehicle system, ensuring compliance with copyright laws and availability in print, digital, and multi-language formats. Create, update, and maintain parts lists in appropriate classifications, with support duration clearly defined. Provide technical toolkits and technology solutions tailored to customer capability and field requirements. Develop and deliver compliant customer and dealer training programs focused on product use, safety, and maintenance, including supplemental courses to meet contractual and operational needs. Manage warranty issues throughout the contract lifecycle, including troubleshooting, root cause analysis, and technical support. Organize and support onsite or virtual dealer/customer engagements to address operational or technical concerns. Perform duties as an FSR Operations Analyst, including documentation, reporting, and customer communication. Collaborate closely with engineering teams to address product concerns, implement design changes, and resolve technical issues. Provide technical support during product testing and validation events, capturing field data and customer feedback. Assist with proposals, cost estimates, and pricing activities as required for new programs or RFQs. Maintain and update documentation, records, and databases as required to support ILS deliverables and program requirements. Perform additional duties as assigned in support of program, engineering, and customer requirements. Qualifications: Bachelor's degree in engineering, Technical Management, or a related field (or equivalent experience). Minimum of six (6) years' experience in field service, application engineering, or technical support in the defense, aerospace, or automotive sector. Proven experience developing and delivering technical training programs in a customer-facing environment. Strong background in technical writing and publication development, with proficiency in appropriate authoring software. Hands-on experience managing warranty, service, and customer support programs. Demonstrated ability to work across engineering, quality, and program management teams. Strong communication, customer engagement, and problem-solving skills. Must meet requirements to be classified as a U.S. Person for defense-related programs. Equal Opportunity Employer, Disability/Veteran