Laminar (Formerly H2Ok Innovations)

Head of Department

• Build and lead the deployment organization and operating system
• Recruit, coach, and develop FDEs, Program Managers, and future team leaders
• Define roles, ownership, performance expectations, and career paths
• Own the deployment portfolio across customers, plants, and geographies
• Manage priorities, timelines, dependencies, risks, escalations, and executive reporting
• Create repeatable processes, stage gates, customer-readiness requirements, checklists, templates, acceptance criteria, escalation paths, tooling, and playbooks
• Define deployment KPIs including cycle time, milestone and schedule adherence, backlog, quality, productivity, and success-criteria attainment
• Forecast demand and capacity, allocate resources, balance utilization, and determine partner requirements
• Build and operationalize a scalable partner model with system integrators and mechanical/electrical implementers
• Lead strategic governance and escalations with plant leaders and senior executives
• Work with Product and Engineering to eliminate deployment friction
• Partner with Value Realization to ensure deployments meet account success criteria and enable customer-impact measurement and validation
• Scale deployment capability from individual production lines to global enterprise rollouts

Head of Deployments

Machine Learning Engineer

• Own the development and refinement of Laminar’s machine learning models for process optimization
• Build machine learning models for data-driven, fluid-based industrial processes using proprietary spectral sensors and software
• Design and run experiments to evaluate and select generalizable, accurate, and robust models
• Work with spectral and multimodal sensor data
• Build preprocessing and feature extraction pipelines for noisy, real-world sensor data
• Develop monitoring and correction systems for model drift, sensor drift, and process anomalies
• Develop performant ML infrastructure and tooling with ML/Data Scientists and software team members
• Work across chemometrics, hybrid modeling, and self-supervised learning
• Perform distribution modeling, drift and anomaly detection, similarity analyses, and continuous calibration
• Bring models from prototype to production, scale model training methodologies, craft experiments, and run ablation studies
• Enable new use cases and help unlock key markets

Junior Machine Learning Developer

Operations

• Work directly with Laminar’s founders to connect financial insight with company-shaping decisions
• Own the operating model
• Help determine where capital goes
• Play a central role in the next fundraise
• Build and launch strategic initiatives, including an expert-advisory offering, new markets, and partnerships
• Turn company priorities into operating plans, budgets, and hiring decisions grounded in deployment economics
• Develop financial models and performance reporting to guide resource allocation
• Partner with founders on fundraising strategy, investor materials, and diligence
• Recruit initial teams and lead initiatives until they have a permanent owner
• Build a broad operating mandate with room to lead a function or business as Laminar grows

Strategy & Operations – Founder's Office

Financial Planning and Analysis

• Work directly with Laminar’s founders to connect financial insight with company-shaping decisions.
• Own the operating model.
• Help determine where capital goes.
• Play a central role in the next fundraise, including narrative, data room, and diligence.
• Build the financial model connecting sales, deployment capacity, engineering investment, and cash requirements.
• Lead budgeting, forecasting, headcount planning, and management reporting.
• Understand account and deployment economics and evaluate investments in new markets and capabilities.
• Take selected strategic initiatives from business case through launch.

Strategic Finance, Founder's Office

Engineer

• Design prototype PCBs from commercially available and custom sensors using KiCAD, SolidWorks, and simulation software such as PSPICE
• Develop and implement test strategies with the Laminar Data Analysis team
• Collect and present data in informal and formal reviews for rapid analysis and sensor comparisons
• Assemble complex PCBAs using reflow soldering techniques
• Rework non-functional units and perform modifications during board bring-up
• Design mechanical housings for sensors and edge compute
• Conduct thermal, vibrational, and ingress progression tests with guidance from senior engineers
• Integrate sensors into established testing platforms using Zephyr RTOS
• Develop new approaches to product sensing to solve critical client problems
• Provide design, assembly, and debugging assistance across multiple hardware projects
• Own projects early in career and drive impact on hardware shipped to customers
• Collaborate with Hardware and Embedded Systems teams to evaluate technologies, test sensing systems, and integrate field prototypes
• Fabricate R&D systems and implement them for field trials

Junior R&D Engineer

Full-stack Engineer

• Collaborate with data science, backend, and forward deployed engineering teams to ideate, collect feedback, prototype, and productionize Insights solutions
• Build Insights functionality for different customer personas and ensure end-to-end feature delivery and success
• Identify friction points and build internal products that help FDEs move quickly and achieve customer goals
• Deliver polished user-facing features with scalable UI components
• Improve interpretability of ML models and observability of customer factory processes
• Write clean, efficient, and well-documented code
• Improve application performance through frontend framework innovations, SQL query optimization, and backend API refactoring
• Work on customer-facing software for Laminar’s industrial automation and cleantech platform

Product Engineer, Full Stack

Hardware Engineer

• Design and prototype PCBs from commercially available and custom sensors using KiCAD, SolidWorks, and PSPICE
• Design mechanical housings tailored to difficult industrial deployment environments
• Develop and implement test strategies with the Laminar Data Analysis team
• Collect and present data in informal and formal reviews for rapid analysis and sensor comparisons
• Lead internal teams working on new system design, with rapid evaluation and high system ownership
• Integrate sensors with established testing platforms using Zephyr RTOS
• Develop creative approaches to product sensing to solve critical client problems
• Provide design, assembly, and debugging assistance across multiple hardware projects
• Own the network and control-system layer of customer deployments
• Configure networks, commission PLC connections, and troubleshoot integration issues from initial installation through steady-state operation
• Document recurring patterns to accelerate future deployments
• Work directly with customer IT and OT teams

Senior Hardware Engineer

• Develop and maintain production edge Linux environments, including provisioning, networking, service management, storage, security, and performance tuning
• Design bare-metal server infrastructure and use virtualization and containers to deploy, isolate, and manage applications
• Deploy and operate ML models and LLMs locally on edge hardware, accounting for compute, memory, latency, and hardware acceleration
• Build MES integrations and industrial communication interfaces using Ethernet/IP, OPC UA, Profinet, Modbus, and related protocols
• Build automated provisioning, remote updates, rollback, logging, and monitoring capabilities for intermittently connected edge systems
• Implement secure device access, identity management, software delivery, and communication between edge systems and cloud services
• Translate factory requirements into platform capabilities with hardware, software, data, and deployment teams
• Mentor junior engineers, review code and designs, and document architecture and engineering decisions
• Own the network and control-system layer of customer deployments, configure networks, commission PLC connections, and troubleshoot integration issues

Senior Software Engineer, Edge Platform

• Own the sensing signal chain, including ADC acquisition and timing, filtering, integration and averaging strategy, and calibration
• Integrate new detectors and sensing elements as the sensor lineup evolves
• Own integration from board bring-up through production-ready drivers
• Address vibration, EMI, thermal drift, and other noise challenges
• Develop Zephyr firmware to interface new detectors with the modular sensor stack
• Build firmware-side calibration, including on-device coefficient storage, third-party calibration procedures, and final sensor provisioning
• Ship sensor drivers, OTA capabilities, and health monitoring to carry data to the Edge Gateway
• Own the network and control-system layer of customer deployments
• Configure networks, commission PLC connections, and troubleshoot integration issues from first install through steady-state operation
• Work directly with customer IT and OT teams
• Document recurring patterns so future deployments move faster

Senior Software Engineer, Embedded Systems

Infrastructure Engineer

• Develop computer orchestration tooling for researchers to launch modeling jobs for training, fine-tuning, and inference on large-scale data
• Design model testing environments that automatically evaluate model performance using semi-supervised metrics and process-aware priors
• Build model registries and automated deployment pipelines for model tracking, versioning, and deployment on edge devices
• Develop monitoring tools to detect model drift or anomalies and trigger continuous-training pipelines
• Collaborate with ML researchers and developers to design systems meeting their needs
• Work with software engineers to integrate systems with existing infrastructure
• Build tailored solutions for Laminar's unique use cases
• Support Laminar's self-driving factory platform, which uses inline sensors, physics- and chemistry-grounded foundation models, process-control software, and analytics to improve manufacturing productivity and sustainability