Infrastructure Engineer Jobs in Boston, MA
Infrastructure Engineer jobs in Boston are concentrated in the Seaport District, Kendall Square, and the Financial District, driven by demand in healthcare technology, financial services, and biotech. Employers actively hiring include Amazon Web Services, Klaviyo, and SimpliSafe. Scan the live roles below and apply to whichever ones fit.
Find Infrastructure Engineer JobsOverview
Showing 5 of 55+ Infrastructure Engineer jobs
Mission Summary:
We are seeking a highly skilled and motivated Principal Engineer, Technical Lead to lead our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and leadership, with experience in developing and deploying advanced data analysis and large scale orchestration frameworks.
At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior.
The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI's. The team works together with all other perception and ML teams to develop the metrics and analyze results.
What You'll Do:
- Lead a team of engineers with a diverse skill set to deliver critical software supporting the development of the autonomous vehicle ML models and software.
- Drive innovation by researching and developing new large scale data warehousing and analysis.
- Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
- Build high-quality datasets to improve ML products through training & edge case validation.
- Provide statistical depth on model performance & generalization through rigorous error and change analysis.
- Provide technical leadership and mentorship to the team, fostering a culture of collaboration and continuous improvement.
- Manage project timelines, resources, and deliverables to ensure successful project execution.
What We're Looking For:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Excellent leadership, communication, and problem-solving skills.
- Proven record leading a small diverse dedicated team supporting a large user base.
- Experience in machine learning, data mining, and statistical analysis.
- Proven experience in developing and deploying large scale cloud frameworks.
- Strong programming skills in Python.
- Experience with large-scale data processing and distributed computing technologies.
Bonus Points:
- Ph.D. in Computer Science or a related field.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Experience with machine learning in the autonomous driving domain.
- Publications or contributions to the AI/ML community.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Mission Summary:
We are seeking a highly skilled and motivated Principal Engineer, Technical Lead to lead our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and leadership, with experience in developing and deploying advanced data analysis and large scale orchestration frameworks.
At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior.
The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI's. The team works together with all other perception and ML teams to develop the metrics and analyze results.
What You'll Do:
- Lead a team of engineers with a diverse skill set to deliver critical software supporting the development of the autonomous vehicle ML models and software.
- Drive innovation by researching and developing new large scale data warehousing and analysis.
- Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
- Build high-quality datasets to improve ML products through training & edge case validation.
- Provide statistical depth on model performance & generalization through rigorous error and change analysis.
- Provide technical leadership and mentorship to the team, fostering a culture of collaboration and continuous improvement.
- Manage project timelines, resources, and deliverables to ensure successful project execution.
What We're Looking For:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Excellent leadership, communication, and problem-solving skills.
- Proven record leading a small diverse dedicated team supporting a large user base.
- Experience in machine learning, data mining, and statistical analysis.
- Proven experience in developing and deploying large scale cloud frameworks.
- Strong programming skills in Python.
- Experience with large-scale data processing and distributed computing technologies.
Bonus Points:
- Ph.D. in Computer Science or a related field.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Experience with machine learning in the autonomous driving domain.
- Publications or contributions to the AI/ML community.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
See All 55 Infrastructure Engineer Jobs in Boston
Find roles in Boston that match your experience and apply in just a few clicks.
Find Infrastructure Engineer JobsInfrastructure Engineer Job Market in Boston
Who's Hiring
- Amazon Web Services10
- Klaviyo7
- SimpliSafe7
- suno3
- Anduril3
Top Industries Hiring
- Technology & Software21
- Distribution & Wholesale10
- Electronics & Hardware7
- Retail3
- Healthcare & Medical Services3
Infrastructure Engineer Jobs in Boston: Frequently Asked Questions
How do I get a infrastructure engineer job in Boston?
Focus your search on Boston's Seaport District, Kendall Square, and Back Bay, where healthcare systems, financial services firms, and biotech companies concentrate the most infrastructure hiring. Employers in those sectors favor candidates with hands-on experience in cloud platforms, network architecture, or data center operations. Engaging with local tech meetups and targeting mid-size companies scaling their infrastructure teams gives you a real edge in this market.
Which companies hire infrastructure engineers in Boston?
Companies currently hiring infrastructure engineers in Boston include Amazon Web Services, Klaviyo, and SimpliSafe, per current listings on Migrate Mate as of August 2026. Boston's mix of large hospital networks, established financial institutions, and fast-growing biotech firms means infrastructure roles appear across both enterprise and growth-stage employers.
Are there remote infrastructure engineer jobs in Boston?
Yes, though with limitations, since infrastructure engineering often requires on-site access to hardware, data centers, or network equipment. About 71% of infrastructure engineer openings tied to Boston are remote or hybrid as of August 2026, with hybrid arrangements more common than fully remote. Cloud-focused and software-defined infrastructure roles tend to offer the most remote flexibility among Boston postings.
How can I get a infrastructure engineer job in Boston with little or no experience?
The most realistic entry path in Boston is through junior systems administrator or IT operations roles at one of the city's many healthcare networks or university-affiliated tech teams, which regularly hire entry-level candidates. Earning certifications in AWS, Azure, or Cisco alongside practical lab experience strengthens your profile quickly. Targeting Boston-area managed service providers and mid-size biotech firms, which often grow infrastructure teams with junior hires, improves your chances significantly.
Which industries hire the most infrastructure engineers in Boston?
Most infrastructure engineer openings in Boston sit in Technology & Software, Distribution & Wholesale, and Electronics & Hardware, per current listings on Migrate Mate as of August 2026. Boston's dense concentration of teaching hospitals, asset management firms, and life sciences companies creates sustained and diverse demand for infrastructure talent across the city.
Related Jobs in Massachusetts
See All 55 Infrastructure Engineer Jobs in Boston
Find roles in Boston that match your experience and apply in just a few clicks.
Find Infrastructure Engineer Jobs