Manufacturing Engineer jobs at Ford Motor - 1636 jobs

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

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

At Tenneco, we don't follow industry standards; we set them, and we don't settle for being best-in-class because we hustle to be better than best-in-class. Whether it's our Core Values-radical candor, simplify, organizational velocity, tenacious execution and win-or our Get Stuff Done (GSD) mindset, we're determined to become the most trusted partner and best manufacturer and distributor to the transportation industry. With a product portfolio as expansive as it is innovative, an obsessive commitment to quality and excellence, and a global presence, we're all about getting stuff done, so we can win. How do we make it happen? Through the Tenneco Way. Fueled by our Core Values, a winning mindset and a relentless commitment to excellence, the Tenneco Way is how we win. It's what keeps Team Tenneco bold, driven, and unapologetically focused on pushing past limits and redefining success. Here, you'll work alongside a team of relentless problem-solvers who are committed to making a tangible impact. If you're ready to break boundaries, deliver results, and enjoy the ride along the way, you'll thrive here. Want to learn more about who we are? Check out our website to discover the Tenneco Way. This role supports the immediate and long-term needs of our manufacturing plants by ensuring reliable, capable, and modern manufacturing technology. Working closely with Operations, Quality, Product Engineering, and Manufacturing Engineering across all business groups, the position will develop strategies to address current and emerging technology needs in advanced manufacturing and digitalization. The primary scope is the EMEA region, with global collaboration across Tenneco's manufacturing engineering network. Essential Duties and Responsibilities: Support Operations in discover and implementing new or improve existing manufacturing technologies, provide support and guidance to manufacturing locations in identifying new and validating existing solutions Manage multiple Advanced Manufacturing related engineering projects with strong business case focus for different site across the Americas region Promote knowledge sharing across plants and involved business groups, especially other manufacturing engineering groups to achieve high manufacturing technology carry over and maintain a knowledge standard across the plants Promote standardization and harmonization of technologies where technically appropriate Develop strategies for addressing future manufacturing technology needs. Work with Operations, Quality and Product Engineering to understand current problems, goals, and customer requirements to assure proper transformation actions Identify simplification and automation potential with the plants and proof project business cases for project kick-offs. Conceive solutions in a timely manner using appropriate structures, constructing “proof-of-concept” demonstrations to show how these could be implemented. Seek out innovative ways in which advanced manufacturing technologies may be used to reduce scrap, improve quality and cut costs in operations. Possess excellent verbal and written communication skills. Perform administrative duties as required. Education: Bachelor's degree in business, engineering, or related field required. MBA or advanced degree preferred. Experience: Minimum of 5 years of experience in manufacturing, preferably in the automotive industry. Skills & Competencies Analytical & Financial Acumen Expert-level analytical and problem-solving skills to drive fact-based decision making. Strong financial literacy, including business case-driven engineering and operational KPI management. Leadership & Strategic Thinking Self-confidence and clarity of expression to lead executive-level discussions and challenge current practices. Strategic thinker with the ability to connect long-term vision to practical execution. Hands-on experience leading multi-regional or global initiatives. Project & Change Management Strong project management skills, including stakeholder alignment, timeline control, and structured execution. Ability to manage multiple complex projects simultaneously across diverse teams and functions. Flexible, proactive, and self-motivated; able to inspire and sustain momentum in teams. Communication & Collaboration Excellent communication skills (written, verbal, and presentation), credible with both internal stakeholders and external audiences. Strong intercultural communication skills; effective in global, cross-functional environments. Promotes knowledge sharing and “carry-over” best practices across teams and regions. Technical & Manufacturing Expertise Deep understanding of advanced manufacturing technologies and digital operations. Familiarity with continuous improvement methods and technology-driven transformation. Tenneco is an Equal Opportunity Employer committed to providing employment opportunities to all qualified individuals, including protected veterans and individuals with disabilities. This role provides a unique opportunity to shape the future of Tenneco's advanced manufacturing and digital operations globally, while driving transformation across the Americas region

An innovative technology company in California seeks a Prediction and Planning Machine Learning Engineer to develop cutting-edge machine learning models for autonomous vehicles. The ideal candidate holds a PhD or MSc with significant experience and expertise in reinforcement learning. The role includes designing driving plans, analyzing performance metrics, and collaborating across engineering teams. Competitive salary range of $214,000 - $257,000 along with benefits including stock options and insurance. #J-18808-Ljbffr

A leading tech company in California is seeking an experienced Software Engineer to drive cost optimization across their High-Performance Computing infrastructure. The role involves designing strategies that save millions, optimizing resource utilization, and developing tools for cost management. Ideal candidates should have experience with distributed systems, Ray.io, and Kubernetes, alongside a proven track record in cloud cost management. This position offers a competitive salary ranging from $219,000 to $263,000 and a comprehensive benefits package. #J-18808-Ljbffr

A leading electric vehicle manufacturer in Palo Alto is seeking a Design-for-Reliability Engineer to enhance the reliability of low voltage electronics in their vehicles. The role involves monitoring product performance, utilizing statistical methods, and collaborating with manufacturing teams. The ideal candidate has a Bachelor's degree in Engineering and over five years in reliability engineering. Salaries are competitive, ranging from $146,900 to $194,610 based on experience. #J-18808-Ljbffr

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary We are seeking a Senior Site Reliability Engineer (SRE) specializing in Observability to join RivianVW's Data Platform - Production Engineering team. In this role, you will design, implement, and scale robust observability systems to ensure the health, performance, and reliability of our production environment. You will collaborate closely with cross-functional teams to create telemetry solutions that provide actionable insights into our distributed systems. Responsibilities Observability Platform Design: Architect, implement, and maintain observability systems, leveraging tools like Datadog, LGTM stack, OpenTelemetry, and Vector to enable real-time performance monitoring, logging, and alerting. Telemetry Optimization: Evolve and scale telemetry pipelines to ensure low latency and high availability for metrics, logs, and traces across multi-cloud environments. Performance Engineering: Proactively identify performance bottlenecks, optimize systems, and provide recommendations for reliability improvements. Scalable Automation: Implement automation solutions to scale systems sustainably while driving improvements in reliability and deployment velocity. Incident Management: Collaborate with the incident response team to establish data-driven debugging and troubleshooting processes using observability data. Tooling Development: Create and maintain self-service observability tools and dashboards to empower teams across the organization. Cross-functional Collaboration: Partner with development, DevOps, and infrastructure teams to define SLOs/SLIs and ensure observability is embedded throughout the software lifecycle. Qualifications Educational Background: Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Experience: 5+ years in Site Reliability Engineering or a related role with a strong emphasis on observability. Technical Expertise: Proficiency in designing and operating observability platforms with tools like Prometheus, Grafana, Loki, Jaeger, or Datadog. Experience with OpenTelemetry and distributed tracing in microservices architectures. Deep knowledge of Kubernetes (e.g., EKS), ArgoCD, and Crossplane. Programming Skills: Strong proficiency in Python, Go, or similar languages for building automation and custom telemetry solutions. Cloud & Systems: Familiarity with multi-cloud setups, containerization (Docker), and Linux system fundamentals. Soft Skills: Exceptional problem-solving, communication, and a data-driven approach to decision-making. Pay Disclosure Salary Range/Hourly Rate for California Based Applicants: $146,900 - $194,610 USD Actual Compensation will be determined based on experience, location, and other factors permitted by law. Benefits Summary: Rivian and Volkswagen Group Technologies provides robust medical, prescription, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and their children up to age 26. Coverage is effective on the first day of employment. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian and VW Group Technologies ("Rivian and Volkswagen Group Technologies") may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. Please note that we are currently not accepting applications from third party application services. #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

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary The Product Security team develops and implements security protection into the vehicle and supporting infrastructure. We are involved in the full chain of security from defining the requirements, planning software and hardware security, developing, deploying, and maintaining security protections. As a Product Security Infrastructure engineer, this person will develop and scale services and infrastructure that are critical security components for vehicle manufacture and operation. This engineer will help develop security critical services according to cloud native best practices and help us ensure that we are developing services in a way that will limit technical debt and toil. When performing these responsibilities, this person will be working closely with multiple functionalities, Safety, Privacy, IT, OT, and SRE teams. This role can be located at one of our California locations in Irvine, CA or Palo Alto, CA and reports directly to the Sr. Manager, Product Security Infrastructure. Responsibilities Support, maintain, and improve in-house security critical services. Help meet and exceed scalability standards and demonstrate cloud native best practices. Help in the implementation of new and existing security services. Participate in team incident response/support processes. Mitigate vulnerabilities found or reported by internal and external parties by aligning with company's goals and objectives. Implement cybersecurity protections to comply with regulations and industry standards. Qualifications Bachelor's degree in Computer Science, Computer Engineering, or similar field, or equivalent experience. Experience using modern server-side programming languages such as go or python to develop web services. Working understanding of modern cryptography, cloud, and security best practices in service development. Experience in SRE, DevOps, DevSecOps or similar working with production services. Real world experience in any of the following: cloud native development, Kubernetes, open telemetry, reliability engineering, production engineering. Experience working with cross functionally with heterogenous engineering teams to ensure the reliability of security critical services. Experience working on projects from planning through completion. Pay Disclosure Salary Range/Hourly Rate for Palo Alto, California Based Applicants: $162,800 - 203,500 (actual compensation will be determined based on experience, location, and other factors permitted by law). Salary Range/Hourly Rate for Irvine, California Based Applicants: $149,800 - 187,200 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full-time and part-time employees, their spouse or domestic partner, and children up to age 26. Full Time Employee coverage is effective on the first day of employment. Part-Time employee coverage is effective the first of the month following 90 days of employment. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian and VW Group Technologies (“Rivian and Volkswagen Group Technologies”) may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. Please note that we are currently not accepting applications from third party application services. #J-18808-Ljbffr

A leading automotive company is seeking a Senior AI/ML Tooling Engineer in San Francisco, California. In this role, you will develop internal ML tooling to optimize model training and inference, working closely with cross-functional teams. The ideal candidate has over 5 years of experience in AI/ML and proficiency in frameworks like PyTorch and TensorFlow. Competitive edge in GPU programming and ML hardware architecture is a plus. #J-18808-Ljbffr

Role: We are looking for an ML tooling engineer to build tools to analyze and optimize distillation, training, and inference of ML models. You will develop and enhance GM's internal ML tooling for high performance software by leveraging state of the art tools like Nsight Systems, PyTorch, etc. The Autonomous Vehicle (AV) software stack heavily relies on machine learning models to perform critical driving tasks. These cutting-edge custom ML models require an ecosystem of in-house tooling to analyze and improve them. In this role, you will collaborate closely with engineers and researchers from different AV Engineering teams (e.g., Computer Vision, Perception, Behavioral Prediction) to scope out system requirements, while engaging with AV hardware teams to understand the target hardware platform and its constraints. What You'll Do Identify new opportunities to improve both training and inference efficiency Build workflows for correctness and performance analysis on physical in-car compute and sensors Build tooling to predict model performance based on architecture and data shape Build tooling to trace actual performance on large distributed training and distillation jobs, running on the world's most powerful GPUs, and analyze the results Continually evolve the toolchain and stack, to leverage the latest advancements in AI Influence model architecture decisions and strategy within GM Your Skills & Abilities 5+ years of experience in the field of AI/ML Experience with ML frameworks (e.g., PyTorch, TensorFlow) and NVIDIA developer ecosystem (TensorRT, Nsight-systems, Nsight-compute) Expertise in writing production quality Python/C++ code Expertise in the software development life-cycle - coding, debugging, optimization, testing, integration BS, or higher degree, in CS/CE/EE, or equivalent What will give you a competitive edge Experience developing and deploying machine learning models GPU programming (CUDA) and familiarity with ML SW stack (e.g., cu DNN, cu BLAS) Experience with ML accelerators and hardware architecture #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

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

A leading automotive technology firm is seeking a Product Security Infrastructure Engineer in California. This role involves developing and scaling security services critical for vehicle manufacturing and operation, aligning with cloud native best practices. The candidate will support in-house services, mitigate vulnerabilities, and ensure compliance with regulations. Ideal qualifications include a BS in Computer Science, experience with Go or Python, and familiarity with cloud and security best practices. #J-18808-Ljbffr

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions‑free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Reliability is at the core of Electric Adventure Vehicles. We are looking for engineers who have experience in bringing products from the early concept stages to production by working closely with design, validation and manufacturing teams on solving technical problems along the way to make the most robust products. Responsibilities As a Design‑for‑Reliability Engineer focusing on low voltage electronics, you will play a key role in monitoring the performance and health of vehicle control, connected car, and self‑driving products in the field. Essential responsibilities in this role include: Apply reliability engineering concepts to continuously improve reliability for low voltage electrical systems across all products. Use statistics to identify reliability trends in the field and provide a clear risk snapshot. Develop tools and processes to track fleet health metrics for electronics. Facilitate root cause investigations, with a major focus on physics of failure and a data‑driven approach. Review electronic Contract Manufacturer test and end‑of‑line data to identify potential risks for downstream assembly and field. Qualifications Minimum requirement is a Bachelor of Science in an engineering discipline or equivalent. Five or more years of industry experience in a reliability engineering role. Level of Role depends on experience and qualifications. A strong technical background is needed in the following areas: Experience with applied statistics in the field of Reliability. Experience with a coding language, preferably Python. Understanding of Highly Accelerated Testing methods and governing equations for different types of failure mechanisms. Technical knowledge of one or more aspects related to PCBA reliability: failure modes, reliability specification development, design guidelines, water‑cooled electronics, interconnects. Experience working with Contract Manufacturers in Asia and North America, including performing on‑site audits of manufacturing facilities. Experience with deploying reliability testing guidelines and inventing new ways of testing. Pay Disclosure Salary Range/Hourly Rate for Palo Alto, California Based Applicants: $146,900.00 - $194,610.00 (actual compensation will be determined based on experience, location, and other factors permitted by law). Salary Range/Hourly Rate for Irvine, California Based Applicants: $135,100.00 - $179,040.00 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full‑time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services and cloud services. Rivian may store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data is subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. #J-18808-Ljbffr

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. The Role: We are seeking a Staff Engineer to join our Backend Services team. In this role, you will contribute to the architecture of our systems and develop services that support our global corrections network, real-time location services, and additional initiatives. Immediate Areas of Focus: Design, develop, and maintain robust backend services and network systems utilizing Go and Java. Prepare comprehensive systems design documentation, architectural decision records, and technical specifications. Participate actively in technical strategy development, architectural discussions, and roadmap planning for infrastructure advancements. Drive the optimization of performance and reliability for mission-critical, globally distributed systems. Collaborate with cross-functional teams to deliver complete solutions for real-time data processing and corrections delivery. Take ownership of key backend infrastructure components, overseeing their design, deployment, and ongoing monitoring. Qualifications: Minimum of 8 years of software engineering experience, with a focus on backend and network systems. Advanced proficiency in Java and Go for developing production systems. Production experience with distributed messaging systems such as Apache Kafka or RabbitMQ. Demonstrated ability to design complex distributed systems and produce detailed architectural documentation. Strong technical writing skills, with experience in creating systems design documentation. In-depth understanding of network protocols, distributed systems patterns, and high-availability architectures. Experience with microservices, real-time data processing, and scalable system design. Preferred Qualifications: Background in GNSS (Global Navigation Satellite Systems). Experience with gRPC clients and servers. Familiarity with PostGIS and geospatial data processing systems. Working knowledge of AWS services, Kubernetes, and cloud-native architectures. Experience with containerization, monitoring systems, and DevOps practices. 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. Location: SF Bay Area (Hybrid) / West Coast Working Hours required 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

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

Powertrain Manufacturing Engineering (PTME) Delivery Program Engineer (Southwest Ohio) This role is in Southwest Ohio as part of the Ford Powertrain Manufacturing Engineering (PTME) Organization We are seeking motivated professionals with a passion for excellence in Manufacturing, Problem Solving, and driving robustness into the PTME Engineering factory. This position reports to the PTME Delivery team Program Manager or Program Leader as a Delivery Program Engineer. The ideal candidate will have knowledge of PTME program deliverables and will be leading PTME launch teams through all phases of Manufacturing Program Delivery from the early cost study phase through rate of climb (ROC) This position aligns with Ford OS Behaviors of Excellence, Focus & Collaboration. You will work in a cross-functional, technology driven environment and be given opportunities to demonstrate your leadership and communication skills while developing your Ford Leadership Behaviors. Minimum Experience: • Bachelor's degree in Engineering or in similar field (Mechanical, Electrical, or Manufacturing Engineering preferred) • 2+ years' experience in high-volume production or manufacturing environment. • Manufacturing floor experience required. • Project Or Program Management / Coordination / Communication Experience • Proficiency in Microsoft Office tools, including Excel and PowerPoint. • Strong presentation skills with experience creating and delivering presentations. • Experience supporting program launches. Preferred Experience: • Manufacturing floor related/Manufacturing plant based. 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 childcare 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 6-8. 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 **************. #LI-Onsite #LI-PW1 Early Phase - Powertrain Program Tasks - Program Start thru OEM Equipment Delivery / Retool & New process equipment. • Program Timing - MS Excel project timing summary for key milestones with monthly, weekly, and daily templates depending on scope of work. • Program Timing - Work independently and with program timing function to create MS Project timing database and input into Program schedule, report outputs. • Program Timing - Lead OEM (Equipment Supplier) timing oversight and timing meeting coordination - inputs to master schedule and project timing summaries. • Program Financials - Lead / Support the initial program funding activity with the financial analyst. Serve as the main contact for the program financials. • Program Financials - Update Indicated Cost Tracking documents and Program Checkbook • Program Reporting - Lead / Support updates / publish of various program review decks and program reporting metrics. • Program Reviews - Lead New Program Review discipline. • Product Engineering Partnership - Interface with System and Component Product, Manufacturing, Support Teams (SPMT, CPMT) • Program Disciplines - Lead / Support Program Deliverable (Integrator) assessments, monitor and track issues to closure, engage with plant floor “whiteboard” activity from installation start through commissioning. • Program Quality - Lead / Support LRCA, LQOS activity and process confirmation for the application of the PTME QOS for the new program. Coordinate any internal / external quality audit process. • Equipment Readiness - Lead / Support the Machine Tryout [MTO] - Make Like Production [MLP] Part Ordering process & track status. • Equipment Readiness - Support the spare part writing process with the Process Engineering, Plant Production and GME Teams. • Workforce Planning - Lead / Support Installation and Commissioning skilled trade allocation requirements. • Program Issue Management - Lead / Support AIM issues management system tracking and closure. • Program Change Control - Lead / Support engineering change control activity and global coordination. Late Phase - Powertrain Program Tasks - Program Launch • Program Launch Planning - Lead / Support coordination of pre-production build activity. • Program Launch Reporting - Lead / Support program scorecard activity / review discipline from Launch Readiness () thru OK to Buy (). • Program Launch Execution - Lead / Support Production Trial Run (PTR) activity including serial number tracking, issue documentation, and engineering review to issue closure. • Program Launch Data Management - Utilize Machine Monitoring Reporting Tools (FIS, IIOT) to support new program team through completion of launch (Rate of Climb - ROC).