Top Tech Jobs & Startup Jobs

As a Design Verification Engineer, collaborate with digital, analog, and photonic designers to ensure robust design verification through methodologies, test plans, and performance validation.

Develop and execute high-speed serial I/O characterization and validation across platforms. Architect test concepts and DFT rules, operate lab equipment, automate measurements with Python, define stress tests, troubleshoot compliance and DUT issues, and collaborate cross-functionally to transition designs to high-volume manufacturing.

Develop and extend device software and firmware for photonic processors and interconnects. Define control plane, diagnostics, and monitoring; integrate with datacenter administration (CMIS, OpenBMC, DMTF). Implement security, telemetry, virtualization, and remote administration. Debug embedded systems, collaborate across hardware and software teams, and participate in customer engagements to gather requirements.

Lead thermo-mechanical simulation and validation for advanced photonics packaging. Develop FEA models (stress, warpage, solder collapse), run multi-physics analyses, identify failure modes, drive material/process solutions, and scale simulation with Python/MATLAB automation. Collaborate with vendors and cross-functional teams to prototype, characterize, and document methodologies that ensure assembly, optical alignment, thermal, and reliability requirements are met.

Define and specify system-level digital architectures for high-speed mixed-signal photonic communication chips. Collaborate with digital, analog, photonic, firmware, and test teams to enable SerDes, ADC/DAC, modulators, and receivers from concept through production. Produce and validate architectural specifications and work with RTL and verification teams to ensure implementation and test alignment.

Design and architect high-speed (50G+) analog/mixed-signal circuit blocks for optical transceivers, collaborate with analog, digital, photonics, and software teams to model and analyze solutions, produce and validate architectural specifications, and represent technical leadership externally.

Lead hardware systems development for silicon-photonics AI accelerators and interconnects, owning PCB/board/system design through production, integration, verification, and cross-functional coordination while mentoring engineers and maintaining documentation and test/validation processes.

The Principal Machine Learning Infrastructure Researcher will design and model performance for ML systems using Lightmatter technology while leading a small team and publishing research findings.

Design and layout block- and chip-scale silicon photonic circuits from concept through tapeout and bring-up. Collaborate with analog, digital, packaging, product, and architecture teams to floorplan and integrate on-chip photonics, perform layout-driven simulation and verification, troubleshoot performance bottlenecks, improve layout/verification flows and PDKs, and support photonic product development and publications.

Lead STA sign-off and timing closure for silicon-photonics ASICs across process nodes. Develop timing constraints, run full-chip STA, automate ECOs with Tempus/PrimeTime, collaborate with RTL/DFT/architecture teams, and document best practices for synthesis through PnR and tapeout signoff.