Project Engineer jobs at Tesla - 1484 jobs

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

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

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

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 Software Simulation Validation Engineer in Sunnyvale, California. The role involves ensuring the quality and reliability of autonomous vehicle simulation platforms through hands-on coding and integration of metrics. Candidates should have a background in Python and C++, with experience in data analysis and robust communication skills. Enjoy innovative challenges in a collaborative environment. #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

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

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

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

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

A leading automotive company is seeking a Software Engineer for their Simulation Engine team in Sunnyvale, CA. You will develop high-performance simulation frameworks that validate autonomous driving software. Ideal candidates possess strong C++ and Python skills, with 5+ years industry experience and a collaborative spirit. The role offers competitive compensation of $125,000 - $191,700 and comprehensive benefits including medical, retirement plans, and more. #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 As an engineer focusing on cellular and wireless integration for the Connected Systems Integration Team at R|V Tech, you will work alongside software developers, systems integrators, and system engineers to support features such as cellular, WiFi, Ethernet and GPS domains along with telematics, mobile app integration, and other Internet-dependent vehicle features, with a primary focus on cellular systems integration and bring-up. The cellular and wireless integration engineer will execute tests and integration of connectivity features and will also contribute to automation of these tests (in Python). The cellular and wireless integration engineer may also support other vehicle development activities which require connectivity support. These development activities may include drives in pre-production vehicles and will provide exposure to vehicle networks, cloud connectivity, and fleet management. The connectivity integration engineer may support time-critical test events and may be asked to support special investigations and projects. Responsibilities Your typical day looks like this: Attend meetings with development teams to understand new system designs and to align on test plans and expectations. Create design documentation and test plans for a new cellular feature implementation. Perform cellular testing using a specialized test chamber and test equipment; work with test equipment vendors to ensure compatibility and system integrity for automation. Perform complementary cellular testing on-vehicle using a prototype or fleet vehicle. Analyze logs from internal and external bugs to assess root cause of failure and create new work scope for dev teams. Core capabilities and behaviors should include: Strong fundamentals for test execution and documentation. The ability to correlate meaningful feedback from disparate data sets. Keen observation skills of wireless (WiFi, 5G, LTE, GPS, Bluetooth) behavior and performance. Deep understanding of telematics, end-to-end data routing and validation of data fidelity and frequency over different data links. Understanding of middleware and layered/encapsulated network schemes. Native Linux proficiency (command-line, tools, bring-up); embedded Linux a plus. Ability to identify and distinguish issues in hardware and/or software. Engage in discussions to test, bug fix, and optimize feature development based on data. Qualifications Bachelor's degree in either Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or Information Systems. Good understanding of 5GNR and LTE protocol stack. A working understanding of the OSI model and network protocols. Basic proficiency with scripting languages including Python and/or Shell. Basic proficiency with database manipulation and data presentation. Triage and diagnosis of complex connectivity issues to include root cause analysis, stability, and interoperability problems. A mindset geared towards collaboration and forward progress. Ability to thrive under pressure and time constraints. Availability to travel and/or support activities during off-peak hours as-needed. Pay Disclosure Salary Range/Hourly Rate for Palo Alto, California Based Applicants: $117,000 - $149,000 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/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 VW 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

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 As an engineer focusing on cellular and wireless integration for the Connected Systems Integration Team at R|V Tech, you will work alongside software developers, systems integrators, and system engineers to support features such as cellular, WiFi, Ethernet and GPS domains along with telematics, mobile app integration, and other Internet-dependent vehicle features, with a primary focus on cellular systems integration and bring-up. The cellular and wireless integration engineer will execute tests and integration of connectivity features and will also contribute to automation of these tests (in Python). The cellular and wireless integration engineer may also support other vehicle development activities which require connectivity support. These development activities may include drives in pre-production vehicles and will provide exposure to vehicle networks, cloud connectivity, and fleet management. The connectivity integration engineer may support time-critical test events and may be asked to support special investigations and projects. Responsibilities Your typical day looks like this: Attend meetings with development teams to understand new system designs and to align on test plans and expectations. Create design documentation and test plans for a new cellular feature implementation. Perform cellular testing using a specialized test chamber and test equipment; work with test equipment vendors to ensure compatibility and system integrity for automation. Perform complementary cellular testing on-vehicle using a prototype or fleet vehicle. Analyze logs from internal and external bugs to assess root cause of failure and create new work scope for dev teams. Core capabilities and behaviors should include: Strong fundamentals for test execution and documentation. The ability to correlate meaningful feedback from disparate data sets. Keen observation skills of wireless (WiFi, 5G, LTE, GPS, Bluetooth) behavior and performance. Deep understanding of telematics, end-to-end data routing and validation of data fidelity and frequency over different data links. Understanding of middleware and layered/encapsulated network schemes. Native Linux proficiency (command-line, tools, bring-up); embedded Linux a plus. Ability to identify and distinguish issues in hardware and/or software. Engage in discussions to test, bug fix, and optimize feature development based on data. Qualifications Bachelor's degree in either Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or Information Systems. Good understanding of 5GNR and LTE protocol stack. A working understanding of the OSI model and network protocols. Basic proficiency with scripting languages including Python and/or Shell. Basic proficiency with database manipulation and data presentation. Triage and diagnosis of complex connectivity issues to include root cause analysis, stability, and interoperability problems. A mindset geared towards collaboration and forward progress. Ability to thrive under pressure and time constraints. Availability to travel and/or support activities during off-peak hours as-needed. Pay Disclosure Salary Range/Hourly Rate for Palo Alto, California Based Applicants: $117,000 - $149,000 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/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 VW 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

A leading automotive manufacturer in the United States seeks a Senior Software Engineer for Data Science to develop scalable AI-driven solutions. This role focuses on improving vehicle quality and customer experience while collaborating with cross-functional teams. The ideal candidate has extensive experience in machine learning, strong proficiency in Python, and a Bachelor's degree in a relevant field. This position offers hybrid work options and competitive compensation. #J-18808-Ljbffr

An innovative automotive technology company is seeking a Software Engineer in Palo Alto, California, to develop tools for analyzing connected systems and telematics performance. The role involves creating insights from telematics data, building dashboards, and collaborating with engineering teams to ensure platform stability. Candidates should have a Bachelor's in a relevant field and 3+ years of experience, with a focus on data analysis and communication skills. This position offers a competitive salary range of $146,000 - $183,000. #J-18808-Ljbffr

A leading automotive technology company in Palo Alto is seeking a Software Engineer to develop in-vehicle applications focused on Android Auto. Candidates should have a Bachelor's in Computer Science and over 5 years of software development experience, primarily in Java and Kotlin. The role emphasizes collaboration with cross-functional teams to innovate user experiences in next-generation vehicles. A competitive compensation package is provided, with a salary range between $146,000 to $183,000 depending on experience. #J-18808-Ljbffr

A leading automotive technology company is seeking a Senior Android Developer to architect and develop consumer-facing software. You will design high-performance applications that contribute to the transition to electric vehicles, working in a collaborative and innovative environment. Ideal candidates have over 5 years of experience and expertise in Kotlin, Java, and C++. This role comes with competitive compensation and benefits in line with industry standards. #J-18808-Ljbffr

Donaldson is committed to solving the world's most complex filtration challenges. Together, we make cool things. As an established technology and innovation leader, we are continuously evolving to meet the filtration needs of our changing world. Join a culture of collaboration and innovation that matters and a chance to learn, effect change, and make meaningful contributions at work and in communities. The Manufacturing Engineer II position is located in Dixon, IL. This position participates in and contributes to process and product modifications, standards, and improvements. The Engineer II position utilizes knowledge of manufacturing equipment and processes to develop expertise in increasing product quality, output, and cost effectiveness. You will utilize lean tools and thinking in improving value streams, conduct workflow analysis, and lead process improvement and change within the organization. Qualified candidates must be able to work an on-site schedule at our Dixon, IL facility Role Responsibilities: Supports the appraisal of new product ideas to determine their potential to address customer needs and to achieve goals in revenue growth and market share. Designs, analyzes, tests, and integrates components to produce final designs; and evaluates the design's overall effectiveness, cost, reliability, and safety. Develops, executes, and evaluates fitness for use testing, product specifications, and process validation plans. Works in cross-functional teams and is responsible for all phases of assigned standard engineering projects, ensuring the successful conclusion of all phases within an appropriate time and at an appropriate cost. Prepares or secures and reviews cost estimates, completes required cost and equipment information, and writes appropriation requests. Provides input on technical program objectives and product specifications to meet manufacturing needs. Keeps informed of new or improved designs, methods, and techniques, materials, and other advances in engineering technology. Provides technical support and collaboration to manufacturing, production, and clients through customer visits and/or consultations; ensures product design meets manufacturing and/or procurement requirements. Participates in short-range planning and technical forecasting. Prepare and present technical results and information in a clear and concise manner through drawings, specifications, reports, and oral presentations to meet Company and customer needs. Ensures compliance with government and organization engineering standards Minimum Qualifications: Bachelor of Science Degree in Engineering, from an accredited College or University 3+ years of hands-on experience of industrial manufacturing or engineering Preferred Qualifications: FAA Certification experience Experience with Oracle or other ERP systems Annual Salary Range: $71,900 - $91,700. Actual salaries will vary based on several factors including, but not limited to applicable work experience, training, education, performance. Employee benefits are part of the competitive total rewards package that Donaldson Company, Inc. provides to you. Our comprehensive benefits program includes health benefits, retirement plan (401k), paid time away, paid leaves (including paid parental leave) and more. Relocation: This position is not eligible for relocation assistance. Immigration Sponsorship Not Available: Applicants for this position must be currently and legally authorized to work in the United States without the need for current or future sponsorship (e.g., H-1B, J-1, F-1, CPT, OPT, etc.). Donaldson will not offer immigration sponsorship or assume sponsorship of an employment visa for this position. International relocation or remote work arrangements outside of the U.S. will not be considered. Key Words: Lean, Manufacturing, Engineering Equal Opportunity Employer, including Disability and Veterans Employment opportunities for positions in the United States may require use of information which is subject to the export control regulations of the United States. Hiring decisions for such positions are required by law to be made in compliance with these regulations. Applicants for employment opportunities in other countries must be able to meet the comparable export control requirements of that country and of the United States. Donaldson Company has been made aware that there are several recruiting scams that are targeting job seekers. These scams have attempted to solicit money for job applications and/or collect confidential information, Donaldson will never solicit money during the application or recruiting process. Donaldson only accepts online applications through our Careers | Donaldson Company, Inc. website and any communication from a Donaldson recruiter would be sent using a donaldson.com email address. If you have any questions about the legitimacy of an employment opportunity, please reach out to [email protected] to verify that the communication is from Donaldson. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law.

Smith Power Products, Inc. is the authorized distributor for mtu-Rolls-Royce Power Systems, Detroit-Diesel, DEUTZ, Allison Transmission, and GE Power & Water Jenbacher products in the Western United States. The company specializes in reciprocating engines and power accessories for mechanical drive and power generation packages. With six distribution centers throughout the Western United States, Smith Power Products, Inc. ensures quick access to spare parts and technical field support. They offer full maintenance services and 24-hour assistance for their products. Smith Power Products, Inc. is also part of the WheelTime network, providing premium heavy-duty truck parts, service, and repair. Role Description This is a full-time, on-site Project Manager role based in Frederick, CO. The Project Manager will oversee project planning, execution, and completion to ensure successful outcomes. Responsibilities include managing logistics, expediting processes, coordinating inspections, and supporting project timelines. Effective communication and collaboration with various teams will be critical to delivering projects on time and within budget. Qualifications Experience in Project Management, including planning, execution, and delivering successful outcomes Skills in Expeditor roles and Expediting processes Knowledge and experience in Inspection protocols and procedures Expertise in Logistics Management and coordinating supply chain activities Strong organizational and problem-solving abilities Ability to effectively communicate and collaborate with cross-functional teams Bachelor's degree or equivalent experience in a related field Experience in the heavy-duty or power generation industries is an advantage