Top Tech Jobs & Startup Jobs

Owns the HR technology ecosystem, people data governance, analytics, workflows, integrations, and process automation across People Operations. The role administers HRIS and related platforms, improves employee lifecycle processes, develops dashboards and controls, supports payroll and benefits data flows, and leads HR technology workstreams for mergers and acquisitions. It partners cross-functionally to implement systems, resolve data issues, and apply AI to improve HR productivity.

Leads full-cycle PCB layout for complex AI accelerator cards and system baseboards. Owns high-speed routing, constraint management, stack-up definition, power delivery layouts, and design methodology. Develops SKILL, Python, or TCL automation for layout audits and reporting, and partners with power, ASIC, fabrication, and manufacturing teams to ensure DFM, DFT, DFA, and high-yield production. Requires expertise in high-density, high-speed PCB design, including 112G/224G SerDes, DDR5/HBM, HDI, and advanced materials.

Analyze emerging AI workloads and build analytical performance models and architecture simulators for current and future AI inference accelerator hardware. Collaborate with hardware, compiler, inference server, kernel, and product teams to validate assumptions, identify HW/SW optimization opportunities, incorporate architecture research, and document methodologies. The role is a hands-on technical contributor focused on performance analysis across the hardware/software boundary.

The Principal Technical Program Manager will lead engineering excellence, implement agile practices, and manage software program delivery at scale while liaising between software teams and leadership.

Design analog-mixed signal integrated circuits, optimize for low power performance, and collaborate on silicon bring up and debugging.

Develop, enhance, and maintain software kernels for AI hardware. Collaborate with teams to optimize hardware-software co-design and build compiler infrastructure.

Responsible for architecture, development, and validation of firmware/software for AI inference on multiprocessor SoCs, ensuring runtime performance. Collaborate with hardware teams and deliver quality code.

Lead end-to-end LLM inference engineering: prototype and deploy optimized inference systems across heterogeneous hardware. Build POCs, implement custom kernels and operator optimizations, drive quantization, sparsity, and batching strategies, maintain runtimes and serving frameworks, and contribute to distributed inference and performance profiling while collaborating with hardware, product, and business teams.

Lead full life-cycle technical recruiting for hardware and software roles, source deep-tech talent, manage candidates through the interview process, build ATS reporting and dashboards, partner strategically with hiring managers, and drive adoption of AI-powered sourcing and screening tools.

The Senior Staff Signal Integrity Engineer drives SI/PI strategy for AI accelerators, leads modeling/simulation, optimizes power delivery networks, and provides technical mentorship.