Top Tech Jobs & Startup Jobs

Owns the full procurement lifecycle for robotic hardware, including supplier sourcing, quote negotiation, vendor onboarding, purchase orders, shipment coordination, invoice reconciliation, and alternate sourcing. Partners with Production, Hardware, Sales, and Finance to maintain build schedules, inventory, cost targets, and lead times. Requires electronic component purchasing experience, BOM and engineering drawing interpretation, international logistics knowledge, ERP proficiency, and strong organizational and communication skills.

Own the end-to-end lifecycle of industrial hardware products from concept through manufacturing ramp, launch, and field stabilization. Lead integrated programs across hardware, firmware, software, manufacturing, supply chain, and go-to-market teams. Manage schedules, risks, budgets, executive reviews, manufacturing readiness milestones, beta programs, and post-launch corrective actions while ensuring quality and delivery without direct authority.

Staff Forward Deployed Engineer embedded with a major robotics customer, responsible for debugging and improving realtime robot-control systems, SDKs, APIs, ROS 2 integrations, and robot controllers. The role combines customer technical leadership, production incident resolution, software delivery, reliability engineering, and platform generalization. It requires extensive onsite work in the San Francisco Bay Area, with recurring travel to New York.

Design and own automated test suites and hardware-in-the-loop infrastructure for controls and industrial integration. Exercise industrial protocols (Modbus, EtherNet/IP, EtherCAT, PROFINET), build PLC/protocol simulators and safety-system validation, and collaborate with software and applications engineers to validate integrations in real time. Deliver maintainable test code, fixtures, and reviews for protocol compliance and CI/CD pipelines.

Build and own AI team systems spanning data ingestion, labeling, training and evaluation infrastructure, model deployment, perception integration, and customer-facing applications and APIs. Drive high-impact technical projects, make hands-on architectural decisions, mentor engineers, and support a broad AI software stack. The role is approximately 70% backend and 30% frontend, with focus areas including ML Ops, data pipelines, or computer vision.

Execute manual regression, smoke, exploratory, and release-candidate testing across robot control software, teach pendants, core workflows, and physical six-axis robots. Create and maintain test cases in Qase, document reproducible defects with logs and build details, collaborate with SDETs and systems test engineers, identify coverage gaps, and perform basic hardware recovery such as re-homing and resets.

Corporate Controller responsible for building and scaling the accounting function, owning monthly, quarterly, and annual close, implementing COSO and SOX-caliber controls, leading PCAOB external audits, and managing technical accounting under US GAAP. The role includes SEC reporting readiness, equity administration, ERP implementation, inventory accounting, policy development, team building, and IPO preparation. This hybrid position partners closely with finance leadership, the board, audit committee, and manufacturing operations.

Designs, installs, programs, validates, and supports six-axis robotic automation solutions at customer sites. Partners with sales, customers, and engineering teams to develop applications, create technical enablement materials, test integrations, and contribute to marketing collateral. Requires hands-on mechanical, electrical, and software experience in manufacturing, automotive, or industrial automation environments, with extensive domestic travel and factory-floor work.

Own end-to-end robotic integration projects, including site surveys, cell design, robot and PLC programming, safety commissioning, installation, testing, troubleshooting, documentation, and customer handoff. Integrate robots with peripheral equipment, industrial networks, vision systems, MES, and ERP platforms. Provide customer training and post-deployment support while identifying reusable designs, code libraries, and process improvements.

Develop and optimize advanced AI models, training pipelines, evaluation frameworks, and debugging systems for robotics applications. Lead rapid experimentation, model architecture development, fine-tuning, performance optimization, and interpretability efforts. Collaborate with engineering teams on training infrastructure and deployment. The role emphasizes ML planning for autonomous vehicles, diffusion and autoregressive models, reinforcement learning, and translating research into production systems.