Senior Level Mlops Engineer Jobs
Senior level mlops engineer jobs place experienced engineers in charge of platform architecture, model deployment pipelines, and the cross-functional teams that keep production systems running reliably at scale. Roles are concentrated in Technology & Software, Human Resources, and Automotive, with 0% remote or hybrid, and employers like TRM Labs, Bosch, and Luxoft hiring at this level now.
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Showing 5 of 9+ Senior Level Mlops Engineer jobs
We Are Bosch.
At Bosch, we shape the future by inventing high-quality technologies and services that spark
enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding
Bosch teams around the world. Their creativity is the key to innovation through connected living,
mobility, or industry.
Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch
- Reinvent yourself: At Bosch, you will evolve.
- Discover new directions: At Bosch, you will find your place.
- Balance your life: At Bosch, your job matches your lifestyle.
- Celebrate success: At Bosch, we celebrate you.
- Be yourself: At Bosch, we value values.
- Shape tomorrow: At Bosch, you change lives.
“Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems.
Job Description
As the Senior Principal Engineer- MLOps & AI Machinery for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions.
Key Responsibilities
- Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling.
- Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets.
- Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem.
- Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions.
- Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability.
- Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement.
- Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence.
Qualifications
Basic Qualifications:
- Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems
- 10+ years of experience in software development and system engineering for autonomous driving or ADAS applications
- Proven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deployments
- Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques
- Deep knowledge of AI frameworks such as TensorFlow and PyTorch
- Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware
- Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets
- Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale
Preferred Qualifications:
- Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems.
- Proficiency in programming languages such as Python and C++.
- Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS.
- Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams.
- Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology.
Additional Information
The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process.
In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.
Equal Opportunity Employer, including disability / veterans
- Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
#LI-JM1
We Are Bosch.
At Bosch, we shape the future by inventing high-quality technologies and services that spark
enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding
Bosch teams around the world. Their creativity is the key to innovation through connected living,
mobility, or industry.
Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch
- Reinvent yourself: At Bosch, you will evolve.
- Discover new directions: At Bosch, you will find your place.
- Balance your life: At Bosch, your job matches your lifestyle.
- Celebrate success: At Bosch, we celebrate you.
- Be yourself: At Bosch, we value values.
- Shape tomorrow: At Bosch, you change lives.
“Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems.
Job Description
As the Senior Principal Engineer- MLOps & AI Machinery for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions.
Key Responsibilities
- Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling.
- Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets.
- Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem.
- Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions.
- Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability.
- Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement.
- Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence.
Qualifications
Basic Qualifications:
- Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems
- 10+ years of experience in software development and system engineering for autonomous driving or ADAS applications
- Proven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deployments
- Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques
- Deep knowledge of AI frameworks such as TensorFlow and PyTorch
- Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware
- Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets
- Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale
Preferred Qualifications:
- Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems.
- Proficiency in programming languages such as Python and C++.
- Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS.
- Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams.
- Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology.
Additional Information
The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process.
In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.
Equal Opportunity Employer, including disability / veterans
- Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
#LI-JM1
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Find JobsSenior Level Mlops Engineer Job Market
Who's Hiring
- TRM Labs3
- Bosch1
- Luxoft1
- TriNet1
- Solventum1
Top Industries Hiring
- Technology & Software4
- Human Resources2
- Automotive1
- Banking & Financial Services1
Senior Level Mlops Engineer Jobs: Frequently Asked Questions
How do I get a senior level mlops engineer job?
Senior level roles go to engineers who can demonstrate end-to-end ownership of ML infrastructure, not just execution of assigned tasks. Employers look for candidates who have designed and scaled model deployment pipelines, led incident response, and mentored junior engineers. Strong candidates can speak to architectural trade-offs they drove, production failures they resolved, and measurable reliability or latency improvements they delivered.
Which companies hire senior level mlops engineers?
Companies hiring senior level mlops engineers right now include TRM Labs, Bosch, and Luxoft, based on current listings on Migrate Mate as of July 2026. Hiring at this level tends to come from organizations running large-scale ML systems in production, including technology platforms, financial services firms, and data-intensive enterprises that need experienced engineers to own infrastructure reliability and platform direction.
Are there remote senior level mlops engineer jobs?
Yes, remote availability is strong at the senior level. About 0% of senior level mlops engineer openings are remote or hybrid as of July 2026, reflecting how many engineering organizations hire distributed senior talent rather than requiring on-site presence. Fully remote roles at this level typically still involve regular cross-functional collaboration, so async communication and documentation skills carry real weight.
What makes a mlops engineer role senior level?
Senior level mlops engineers own outcomes, not just deliverables. That means setting the technical direction for model deployment or observability infrastructure, making architectural decisions with long-term reliability implications, and holding accountability when production systems degrade. Senior engineers are also expected to mentor mid-level colleagues, drive standards across the team, and contribute to roadmap planning alongside product and data science stakeholders.
Which industries hire the most senior level mlops engineers?
Senior level mlops engineer roles concentrate in Technology & Software, Human Resources, and Automotive, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they operate ML systems at a scale and criticality that demands experienced engineers who can build for reliability, govern model behavior in production, and lead the infrastructure work without close oversight.