Applications Engineer- Hardware
Machines learned to understand language. We’re teaching them to understand matter.
Forty percent of global manufacturing happens through physical and chemical processes inside pipes, tanks, and reactors. Despite decades of industrial automation, much of what happens inside them remains remarkably invisible. Manufacturing is the most ubiquitous and foundational sector in global economy, yet the way factories are fundamentally run have used the same control philosophies, manual operations, and legacy software for the past 60 years.
Laminar deploys state-of-the-art patented sensors and edge hardware directly into live production environments, generating data that didn’t previously exist to build foundation models deployed in factory floors that understand chemistry, composition, quality, and material state in real time. We use that understanding to run autonomy and rethink how things are made.
The last generation of industrial automation taught machines to execute instructions reliably. The next will teach them to understand the processes they control and run autonomously, adaptively, and agentically: higher quality, safety, more efficiently, sustainably, and productively.
That future is already taking shape. Today, Laminar works with 7 of the world’s 10 largest food and beverage manufacturers and operates across hundreds of factories globally across six continents. Our systems have materially reduced waste, cut manufacturing downtime, saved water, chemicals, energy, and helped prevent safety and quality failures. Our technology has gained international recognition, from being selected as a 2026 World Economic Forum Technology Pioneer, Gold 2026 Edison Award, Unilever Startup of the Year, to Innovator Awards by both Coca-Cola and AB InBev, and more.
We are backed by tier-one investors in physical AI to make intelligent, self-improving production the new standard for industry.
Join us to build what makes matter intelligible, and the intelligible controllable.
What You Will Do
- Conduct market research through customer interactions, swiftly identifying significant customer challenges to inform product and business development strategies.
- Engage directly with customers to manage deployments, lead sample testing, implement products, and ensure hardware specifications are met.
- Understand how the processes work at a customer’s plant — e.g. reviewing diagrams, learning how their PLC system works, finding process variables of interest that may help our ML, understanding what processes are more critical to optimize, etc.
- Support and educate customers post-deployment, ensuring successful adoption and scalability within their enterprises.
- Deployment:
- Lead and coordinate installations, collaborating with Field, Hardware, or Software Engineers.
- Develop and execute processes for successful implementation and scalable roll-outs.
- Travel on-site if needed before, during, or after deployment, ensuring seamless integration of our IoT technologies within customer environments.
- Track deployment related deliverables and customer support requests (i.e. sensor installation, network configurations, PLC communication, site Q&A validations, etc.)Lead customer discussions regarding proper install.
- Advise on ideal locations to implement H2Ok technology with respect to data collection and physical constrictions.
- Applied Data Science:
- Analyze and draw insights from proprietary data sets, contributing to informed decision-making.
- Present data trends in a manner that shows value to the customer, with the ability to speak to technical and non-technical audiences.
- Product Design and Testing:
- Design product development guidelines based on customer and market needs, enabling the engineering team to align product features effectively.
- Conduct experiments and tests on products for customer readiness and compatibility with field samples/data.
- Communicate feedback and product feasibility to the team, contributing to continuous improvement and iteration.
About You
- Ability to thrive in a fast-paced team environment with a high attention to detail and a keen eye for problem-solving.
- Enthusiastic, positive, proactive and driven attitude (e.g., Ethernet/IP, Modbus RTU, 4-20mA, MQTT) with a security-oriented approach.
- Experience in or willingness to learn Linux environments and Rasbian devices.
- Comfortable with Physics and Chemistry topics, especially spectroscopy, spectral sensing, and image processing, as well as basic chemical engineering concepts.
- Interest in sustainability and a startup environment, along with a strong technical grasp of engineering and science.
- Experience working on cross-disciplinary projects involving software and hardware development, IoT, data science, wet lab testing, sensors, data security, and electrical component design.
- Excellent soft skills for building relationships with customers at varying organizational levels.
- Mechanical or Electrical Engineering background - trained in problem solving to aid strategic thinking and can discuss technical requirements with factory process engineers
- Industrial engineering or manufacturing experience.
- Experience in networking and IT.
- Exposure to PLC or SCADA systems in a manufacturing environment.
- Bilingual (including Portuguese, Chinese, Japanese, French, or German) and can discuss technical requirements proficiently in multiple languages.
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
- 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
Why Laminar?
Our Interview Process
