Top Tech Jobs & Startup Jobs

Develop production control and localization systems for heavy autonomous vehicles. Design and tune MPC and PID algorithms, build GPS/RTK and IMU-based localization and state-estimation pipelines, analyze field-test logs, and integrate controls with perception, planning, and hardware. The role requires onsite work in San Francisco and up to 15% travel to customer deployment and testing sites.

Build and manage a construction-focused sales territory through outbound prospecting, customer-site visits, and relationship-building events. Self-source and close mid-market or enterprise accounts, conduct 50–100 outbound calls daily, maintain CRM pipelines and forecasts, and drive account expansion. Collaborate with marketing, business development, and customer success while operating in an early-stage environment.

Build recruiting processes and pipelines, manage contracts, billing, accounting coordination, insurance, and administrative operations. Develop financial models, support pricing and revenue initiatives, build AI agents and workflow automations, and independently deliver projects across finance, sales, and business operations.

Lead custom equipment engineering programs from design through manufacturing readiness, validation, acceptance testing, and deployment. Coordinate engineering, suppliers, vendors, contract manufacturers, and manufacturing teams across multiple concurrent programs. Track technical risks, yield, output, quality, milestones, and production readiness while resolving cross-functional delivery issues. The role is fully onsite in Austin and requires work on manufacturing floors and in cleanrooms.

Own enterprise customer implementations by gathering requirements, designing and configuring AI-agent solutions, troubleshooting production issues, launching customers, and supporting outcomes during their first month. Maintain ongoing technical relationships and translate customer problems into scalable solutions while communicating directly with clients.

Build and own production software for safer AI use in regulated financial workflows. Responsibilities include creating AI evaluation environments, converting research prototypes into production guardrails, shipping customer-facing safety tooling, making architecture decisions, building core infrastructure, and establishing engineering practices in an ambiguous research-oriented startup environment.

Own full-cycle recruiting for software engineering, infrastructure, applied AI, and product engineering roles. Build outbound sourcing pipelines, partner with founders and hiring leaders on role definition and interview calibration, close senior and difficult-to-hire engineers, and deliver a high-touch candidate experience. The recruiter will also establish workflows, templates, recruiting systems, and talent market maps in a fast-moving startup environment.

Own technical sourcing strategy for AI, machine learning, research, software engineering, product, and related roles. Build market maps and talent pipelines, engage passive candidates through recruiting platforms and technical communities, personalize outreach, assess candidate fit, track sourcing analytics, and improve recruiting tools and workflows. Partner with recruiters and hiring managers while establishing the company’s first dedicated technical sourcing function.

Design and own mechanical robotic subsystems from concept through prototyping, testing, iteration, and production. Responsibilities include CAD modeling, material and tolerance selection, design for manufacturability, hands-on prototype fabrication using 3D printing and CNC machining, and integration of motors, sensors, electronics, and actuators into robotic arms and mobile bases. The role requires close collaboration with hardware teams to develop reliable systems for data center operations.

Lead complex enterprise AI engagements from discovery through deployment, adoption, and expansion. Partner with C-suite stakeholders to define problems, build ROI-driven business cases, and create customer roadmaps. Own strategic and commercial outcomes while collaborating with forward-deployed engineers on technical delivery. Translate customer insights to product and engineering teams, and build repeatable deployment playbooks for a new Applied AI function.