Top Engineering Jobs in Austin, TX

Develop system-level diagnostic and stress-testing software for next-generation AI SoCs. Extend Arm diagnostics tools, validate CPUs, memory, interconnects, PCIe, storage, firmware, and accelerators, and detect intermittent failures such as silent data corruption. Build configurable validation utilities and automation across server and rack-scale environments. Collaborate with hardware, firmware, and validation teams to improve observability, fault isolation, silicon bring-up, and platform reliability.

Provides advanced troubleshooting, bring-up, validation, and reliability support for AI compute hardware across labs and data centers. Diagnoses server, motherboard, power, thermal, network, BIOS, and BMC issues; performs root cause analysis; supports hardware deployment and qualification; develops documentation; and mentors junior staff. The role also includes collaboration with engineering and infrastructure teams and participation in on-call support during critical milestones.

Develop system-level diagnostic and stress-testing software for next-generation AI SoCs. Build tools that detect hardware failures, silent data corruption, timing issues, and reliability problems across CPUs, memory, PCIe, storage, firmware, BMC, and other platform components. Extend Arm diagnostics, automate validation across server and rack-scale environments, debug hardware-software interactions, analyze failures, and collaborate with hardware, firmware, and validation teams during silicon bring-up.

Lead advanced troubleshooting, bring-up, validation, and reliability support for Arm-based AI compute hardware across labs and data centers. Diagnose server, motherboard, power, thermal, network, BIOS, and BMC issues; perform root-cause analysis; support qualification and deployment; develop SOPs and validation documentation; and mentor junior staff. The role also includes collaboration with engineering and infrastructure teams and participation in on-call support during critical milestones.

Develop and extend system-level diagnostics, stress-testing software, and validation utilities for next-generation AI SoCs. The role diagnoses hardware, firmware, operating system, and driver interactions across CPUs, memory, PCIe, storage, networking, and accelerators. Responsibilities include exposing intermittent failures such as silent data corruption, automating diagnostics across server and rack-scale environments, supporting multiple silicon revisions, improving observability and fault isolation, and collaborating with hardware, firmware, and validation teams during silicon bring-up.

Provides technical leadership for designing, integrating, validating, and deploying robotic automation systems for data center operations. Leads transition of robotics concepts from R&D to production, coordinates internal and external partners, guides verification and validation, troubleshoots full-stack systems, and develops scalable software, hardware, and fleet-management capabilities. The role also mentors engineers, influences technical direction, evaluates emerging technologies, and supports deployment across partner and manufacturing sites.

Design, develop, and deploy UEFI firmware for hyperscale AI server platforms. Responsibilities include platform initialization, hardware configuration, security features, RAS capabilities, telemetry, firmware updates, CI/CD integration, hardware and firmware debugging, and collaboration with silicon, hardware, BMC, ODM, security, and validation teams.

Lead hardware troubleshooting, bring-up, validation, and qualification for AI compute platforms across lab and data center environments. Diagnose server, motherboard, power, thermal, networking, BIOS, and BMC issues; perform root-cause analysis; develop procedures and validation documentation; support deployments; and mentor junior engineers and technicians. Participate in on-call support during critical hardware milestones.

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 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.