Top Tech Jobs & Startup Jobs

Leads Laminar’s global deployment organization, portfolio, and operating system. Builds and develops deployment teams, establishes scalable processes and playbooks, manages capacity and resources, sets KPIs, and oversees complex multi-site customer rollouts. The role partners with engineering, product, value realization, plant leaders, and implementation partners to ensure predictable delivery, successful adoption, and measurable customer outcomes across manufacturing environments.

Develop and productionize machine learning models for industrial process optimization using spectral and multimodal sensor data. Responsibilities include designing experiments, building preprocessing and feature extraction pipelines, monitoring model and sensor drift, detecting anomalies, developing ML infrastructure, and applying chemometrics, hybrid modeling, self-supervised learning, probabilistic reasoning, and time-series techniques.

Works directly with founders to identify, evaluate, launch, and scale new ventures across industries, geographies, partnerships, and customer offerings. Responsibilities include developing business cases, setting milestones, recommending investments, recruiting initial teams, coordinating engineering and commercial leaders, supporting fundraising through financial analysis, and deciding whether to scale, revise, stop, or transition initiatives.

Works directly with company founders on strategic finance, owning the operating model, budgeting, forecasting, headcount planning, management reporting, capital allocation, and deployment economics. Leads fundraising preparation, including investor narrative, data room, and diligence, while advancing selected strategic initiatives from business case through launch. The role offers broad ownership and a path toward finance or operating leadership.

Partner with the founders to determine strategic investments and build capabilities supporting growth toward $100M in revenue. Develop operating plans, budgets, hiring decisions, financial models, performance reporting, fundraising materials, and strategic initiatives involving new markets and partnerships. Recruit initial teams and lead initiatives until permanent ownership is established. The role requires analytical judgment, cross-functional collaboration, and hands-on execution in a startup environment.

Designs and tests prototype PCBs, sensor systems, mechanical housings, cable harnesses, and embedded integrations. Performs PCB assembly, rework, troubleshooting, board bring-up, and sensor testing using Zephyr RTOS. Develops test strategies, analyzes results, supports field prototypes, and contributes to hardware projects from concept through customer shipment.

Develop Linux-based services, provisioning automation, deployment tooling, industrial protocol integrations, and reliability features for edge computers and factory servers. Support containerized and virtual-machine applications, ML inference workloads, monitoring, logging, recovery, testing, debugging, and technical documentation. Collaborate with senior engineers while owning well-defined platform components.

Design and prototype sensor hardware, including PCBs, mechanical housings, and electromechanical systems for industrial environments. Develop test strategies, collect and analyze sensor data, integrate sensors with Zephyr RTOS platforms, and support field trials. Lead rapid R&D evaluations, product bringup, debugging, fabrication, and cross-functional system development.

Build and improve Laminar Insights, a customer-facing platform for visualizing factory telemetry, ML model decisions, operational trends, and sustainability impact. Collaborate with data science, backend, forward-deployed engineering, customers, and leadership to design, prototype, and ship polished full-stack features. Develop scalable UI components, optimize frontend performance, SQL queries, and backend APIs, and create internal tools that help forward-deployed engineers deliver customer outcomes.

Own and expand a Linux-based edge computing platform for factory-deployed systems. Build bare-metal, virtualized, and containerized infrastructure; deploy ML models and LLMs on edge hardware; integrate with MES and industrial protocols; and develop provisioning, updates, rollback, monitoring, recovery, and security capabilities. The role spans architecture through production deployment and includes cross-functional collaboration, technical leadership, mentoring, code review, and documentation.