Job Description

Job Description

Job Description

For a century, the answer to “what’s in the pipe right now” was a grab sample to a lab with results back hours later. We answer it every second. 

Laminar is building human-centric self-driving factories: the ones made of stainless steel pipes and reactors, that make what the world eats, uses, and wears. Proprietary inline sensors read the chemistry in the pipe. Foundation models grounded in physics and chemistry reason about how close the process is to its target. Process control software acts on the answer through the plant’s automation system in real time. Laminar Insights shows what happened, why, and what it saved. 

A Laminar line uses about 20% less water and 20% fewer chemicals and runs 15% faster, with quality protected. Productivity and sustainability improve together. We run across six continents at manufacturers like Coca-Cola, Unilever, and AB InBev, backed by tier-1 investors in Physical AI. 

We’re a polymathic team of 50 in Somerville: hardware and software engineers, chemists, AI researchers, factory operators, and go-to-market wizards under one roof. Nobody here is waiting to be asked what to do. You’ll see the problem, propose the fix, and own the outcome. We believe in autonomy, ownership, and demanding excellence, and we hold each other to it. If that’s how you want to spend your time, come build the self-driving factory with us.

We’re looking for an exceptional Senior Software Engineer, Edge Platform to own components of and build out Laminar’s next-generation edge computing platform. You’ll shape how our software, ML models, and LLM workloads run on Linux-based edge devices and factory-deployed servers. This is a hands-on role with ownership from early architecture and prototyping through production deployment. We’re looking for someone who can turn open-ended challenges into reliable systems, make thoughtful technical decisions, and help other engineers grow along the way. 

What You Will Do

• Acquisition & Conditioning:  Own the sensing signal chain, covering ADC acquisition and timing, filtering, integration and averaging strategy, and calibration.
• Sensor Integration: Integrate new detectors and sensing elements as our sensor lineup evolves. Own integration, supporting board bring-up through production-ready drivers.
• Noise Rejection: Get the real signal out of noisy environments. Tackle challenges like vibration, EMI, thermal drift, and more.
• Firmware development: Develop firmware in Zephyr to interface with new detectors into our existing modular sensor stack
• Calibration: Build the firmware side of calibration, including on-device coefficient storage, third party calibration procedures, and the final provisioning process for our sensors.
• Device Connectivity: Ship drivers, OTA, and health monitoring for our sensors to carry data up to our Edge Gateway.

About You

• 4+ years of experience building production systems software, with meaningful work on Linux systems, infrastructure, or distributed systems. 

• Track record of owning the design, implementation, and success of significant components within a larger system. 

• Comfortable defining technical direction, taking ownership, and delivering in a fast-paced product iteration cycle. 

• Deep Linux experience, covering administration, networking, filesystems, troubleshooting, and performance analysis. 

• Experience shipping software into environments you don’t control: into on-prem, edge, embedded, robotics, or similar. 

• Practical experience with bare-metal infrastructure, hypervisors, virtual machines, and containers. 

• Strong experience in languages such as Rust, Python, C/C++, or Go, with experience building automation and system tooling. 

• Familiarity with deploying ML models and LLMs on edge hardware, including inference runtimes and resource constraints. 

• Experience with deployment automation, monitoring, system recovery, and secure software updates. 

• Bachelor’s or higher degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent practical experience. 

Benefits

• Direct impact on product and culture.
• Comprehensive benefits package including Medical, Dental, Vision, Life Insurance, Disability, Transportation benefit, Health and Wellness benefit, and more.
• 401k plan with employer matching
• Equity
• Competitive salary and bonus opportunities.
• Dynamic and inclusive work environment.
• Opportunities for growth and professional development.
• Access to Greentown Labs' extensive network of cleantech startups.

Learn How We Think

• Learn about our startup journey: Our Journey 

• How we're combating climate change: AI-Powered Climate Tech 

• A customer story: Ben & Jerry's uses H2Ok's precision automation to cut time & water usage 

Our pay ranges are established per Pave Compensation Software. We’re also proud to offer equity in our fast-growing startup and one of the most comprehensive benefits packages among startups at our stage. Laminar pays 100% of the individual health insurance premium for HMO medical, vision, and dental, offers flexible PTO, a $90/month transportation benefit, a $65/month health and wellness benefit, FSA, 12 company-paid holidays, an employer-matching 401(k) (unheard of at this stage!), and Greentown Labs membership, among other valuable resources. (*subject to change)

Why You'll Love it Here

• A front-row seat at Greentown Labs, North America's largest cleantech innovation hub, in a Somerville neighborhood ranked one of the coolest in the world

• Real recognition: 2026 World Economic Forum Technology Pioneer, Gold 2026 Edison Award, Unilever Startup of the Year, Innovator Awards by both Coca-Cola and ABInBev, and more

• A team that celebrates together from rooftop lunches, ping pong matches, Lunch & Learns, and regular team events

• Competitive salary, equity, and a 401(k) with company match

• Health, dental, and vision coverage, plus short- and long-term disability and life insurance

• Flexible time off and 12 company-paid holidays

• A conference and learning budget to keep growing your craft

• Greentown Labs membership and a transportation benefit for your commute

Our Interview Process

1. Phone screen with Laminar Head of Ops or Recruiter (15-20 minutes)

2. Intro call with Hiring Manager (30 minutes)

3. On-site interview, including short tour of GTL, overview of tech, and interview/presentation with the Hiring Manager and a few team members. Depending on the role, a skills exercise that should take no longer than an hour to prep, would be sent ahead of time. We record your skills exercise to share with any team members who could not join the interview and/or with Founder's ahead of their Founder's Interview. If you are not local, we can conduct this virtually.

4. Finalists for Full-Time positions will have a Founder’s Interview in-person

Final steps:

Two professional references are requested, ideally one from your current organization and one who served as your Manager

If an Offer Letter is extended, a Background check is conducted

A  recent study from LinkedIn showed that most women apply to jobs only when they meet 100% of the requirements, whereas men will hit the apply button if they hit 60%. Laminar (formerly H2Ok) is committed to building a diverse and inclusive team. So, to the women and nonbinary folks out there feeling unsure if you're a perfect fit, we strongly encourage you to apply! If you're ready to play a key role in scaling a game-changing company that’s transforming the industrial sector and advancing sustainability, we want to hear from you!

* We recently updated our domain to runlaminar.com. Please ensure you add the runlaminar.com domain to your safe senders list to ensure you receive our communications.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Tags

Full time, Temporary work, Local area, Flexible hours

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