Top Tech Jobs & Startup Jobs in Austin, TX

Lead architecture and development of OpenBMC-based BMC firmware for hyperscale AI servers, implementing platform management, security (root of trust/secure boot), lifecycle updates, telemetry, protocol interfaces, CI/CD, and cross-team hardware integration and debugging.

Lead design, integration, validation, and deployment of data-center robotics and automation systems. Define technical direction, mentor partners, drive verification/validation (simulation, HIL, FAT/SAT), debug hardware/software/PLC stacks, and transition R&D prototypes into production-ready, scalable robotic solutions.

Seeking a Staff Hardware Engineer to support Graphcore's AI hardware platforms through troubleshooting, validation, and engineering support. Responsibilities include diagnosing failures, collaborating with teams, and providing mentorship to junior engineers.

Lead hardware bring-up, validation, and advanced troubleshooting for server blades, motherboards, power and thermal systems, and rack-scale AI compute platforms. Collaborate on root-cause analysis, develop SOPs, support deployments, mentor junior staff, and provide off-hours/on-call engineering support.

The role involves validating AI chips, leading test design in C/C++, debugging on FPGAs, automating tests in Python, and collaborating across teams.

Lead financial strategy and planning for a semiconductor and AI company, partnering with senior leadership on forecasting, performance management, and decision-support. Oversee financial models, scenario analysis, capital allocation, and team leadership to drive accountability and growth.

Lead and conduct post-silicon validation for AI compute blades and racks, ensuring performance meets product standards while collaborating with multiple teams and mentoring engineers.

Lead system bring-up and validation for ARM-based blades and AI compute racks. Drive firmware integration, lab and debug tool development, test plan ownership, triage/post-silicon validation, and cross-functional coordination to meet program milestones and improve system validation methodologies and capabilities.

Lead electrical architecture and delivery for high-density AI data center infrastructure across design, construction, commissioning and operation. Develop standards, protection strategies, resilient power and energy-storage solutions; evaluate power-conversion technologies; direct consultants; support testing, site acceptance, operational readiness, incident investigations and cross-disciplinary collaboration. Mentor engineers and engage utilities, authorities and industry bodies.

Lead post-silicon functional validation for AI SoCs: plan, develop and debug bare-metal tests on FPGA/emulator and first silicon, build Python automation and regression suites, analyse failures, collaborate across hardware, firmware and platform teams, and improve test infrastructure and methodologies.