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Cloud and Machine Learning Infrastructure Engineer

Glimpse

On-site
Somerville, MA
Full-time
Mid Level
Senior
2+ yrs
$120k–$190kPosted 2mo ago

Real job — pulled straight from Glimpse’s careers page · Verified June 1, 2026 · No reposts.

Job description

Glimpse is hiring a Cloud and Machine Learning Infrastructure Engineer — a full-time, based in Somerville, MA role ($120k–$190k). Apply directly on Glimpse's careers page below.

Cloud and ML Infrastructure Engineer

Department: Engineering

Location: Somerville

Compensation: $120K – $190K • Offers Equity

Employment Type: FullTime

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

  • Experience with AWS and production infrastructure for ML/AI workloads, especially managing GPU-compute workflows

  • Experience with designing monitoring and alerting systems for algorithms

  • Strong python skills, especially in performance sensitive applications

  • 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:

  • Making electric mobility safer, more affordable, and less wasteful

  • Working at the intersection of sales, operations, and customer success

  • Relentlessly getting things done and taking ownership for and pride in your work

  • Delighting Glimpse’s customers

You have:

*If you don’t meet 100% of the requirements, we still encourage you to apply!

  • Excellent python developer, with experience in performance critical applications

  • Experience building and maintaining high reliability platforms on AWS

  • 2-4 years of experience

  • US citizenship or a green card

Nice-to-have:

  • Experience with Rust and other high performance languages.

  • 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

  • Phone screen with recruiter (15-20 minutes)

  • Intro call with hiring manager (30 minutes)

  • Live technical interview session (1.5 hour)

  • On-site interviews (half a day)

  • Two reference checks

  • Background check

We offer

  • Incredible growth prospects in a well-funded Series A climate company

  • Medical, dental, and vision benefits for employee and dependents

  • 401(k) plan with a company match

  • Unlimited PTO

  • 12-week parental leave for both parents

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Frequently asked questions

What is the salary for Cloud and Machine Learning Infrastructure Engineer at Glimpse?

The estimated salary range for Cloud and Machine Learning Infrastructure Engineer at Glimpse is $120,000 - $190,000 USD per year.

What skills are required for Cloud and Machine Learning Infrastructure Engineer at Glimpse?

The required skills for Cloud and Machine Learning Infrastructure Engineer at Glimpse include: AWS, Python, Rust, Machine Learning, AI.

What is the seniority level for Cloud and Machine Learning Infrastructure Engineer at Glimpse?

Cloud and Machine Learning Infrastructure Engineer at Glimpse is a Mid Level / Senior level position.

How do I apply for Cloud and Machine Learning Infrastructure Engineer at Glimpse?

You can view the full description and apply for Cloud and Machine Learning Infrastructure Engineer at Glimpse on EchoJobs: https://echojobs.io/job/glimpse-cloud-and-ml-infrastructure-engineer-rvjd1.