Cloud and ML Infrastructure Engineer
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At a glance
Job overview
Glimpse is hiring a Cloud and ML Infrastructure Engineer. Glimpse seeks a Cloud and ML Infrastructure Engineer to build scalable, maintainable infrastructure for its battery quality management platform. The role involves maintaining complex systems, MLOps workflows, GPU‑compute pipelines, and designing monitoring and alerting for AI algorithms, while ensuring compliance with SOC 2 and NIST 800‑171 frameworks.
Key focus areas include Build and maintain scalable cloud infrastructure for ML/AI workloads, Design monitoring and alerting systems for algorithm performance, and Implement automated compliance controls for SOC 2 and NIST 800‑171.
Successful candidates bring 2-4 Years Of Experience and US Citizenship Or Green Card. Important skills include Maintaining Complex Systems, MLOps Workflows, Training Infrastructure, AWS, Production Infrastructure For ML/AI Workloads, and Managing GPU-Compute Workflows. Preferred (not required): Rust and High Performance Languages.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Cloud and ML Infrastructure Engineer $120k–$190k + equity
Somerville, MA
About Glimpse
The last decade has been incredibly exciting for electric mobility. However, the electrification of the transportation industry has scaled while relying on an insufficient set of quality control tools. This has led to uncomfortably high rates of battery pack failure and multi-billion-dollar safety recalls. In our view, every headline of electric vehicles and e-bikes catching fire is a major impediment towards an all-electric future.
After having spent a few years in the trenches of battery and electric vehicle factories at Tesla and Toyota, Glimpse’s cofounders developed a vision for a one-stop-shop battery Quality Management Solution, which they actualized through the launch of the Glimpse Portal in March 2024. Today, Glimpse counts some of the world’s largest battery producers and OEMs, such as Lucid Motors and NASA, among its customers.
Role
Glimpse has built a powerful technology stack that uses high-powered edge computing for compression and noise reduction, cloud infrastructure for storage and AI for feature detection in CT images. As we scale our platform and expand its capabilities, we are looking for exceptional engineers to help us build the infrastructure to provide scalability and maintainability.
This person should have experience in maintaining complex systems and be familiar with MLOps workflows, training infrastructure, and AWS.
Relevant skills
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Experience with AWS and production infrastructure for ML/AI workloads, especially managing GPU-compute workflows
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Experience with designing monitoring and alerting systems for algorithms
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Strong python skills, especially in performance sensitive applications
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Understanding of compliance frameworks such as SOC 2, NIST 800-171, and how to implement automated controls to match these requirements.
Our culture and values
A working draft of our culture and values aspirations can be found here .
You’re fired up by:
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Making electric mobility safer, more affordable, and less wasteful
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Working at the intersection of sales, operations, and customer success
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Relentlessly getting things done and taking ownership for and pride in your work
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Delighting Glimpse’s customers
You have:
*If you don’t meet 100% of the requirements, we still encourage you to apply!
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Excellent python developer, with experience in performance critical applications
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Experience building and maintaining high reliability platforms on AWS
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2-4 years of experience
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US citizenship or a green card
Nice-to-have:
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Experience with Rust and other high performance languages.
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Experience at high-growth, fast-paced startups
Location
We’re headquartered in Greentown Labs in Somerville, MA. As an early-stage startup working on hardware and software, we have a strong preference for being in the office more often than not. However, we’re happy to consider flexibility options for exceptional candidates.
Interview process
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Phone screen with recruiter (15-20 minutes)
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Intro call with hiring manager (30 minutes)
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Live technical interview session (1.5 hour)
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On-site interviews (half a day)
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Two reference checks
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Background check
We offer
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Incredible growth prospects in a well-funded Series A climate company
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Medical, dental, and vision benefits for employee and dependents
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401(k) plan with a company match
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Unlimited PTO
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12-week parental leave for both parents
You've read the whole posting — now see how you match it.