Top Tech Jobs & Startup Jobs

Lead development of memory system architecture and micro-architecture for SoCs. Build and maintain performance models and simulations, analyze benchmarks and workloads, identify micro-architectural tradeoffs, and debug performance and functional issues across high-level models, RTL simulation, and silicon.

Lead architecture and development of next-generation scale-up fabrics and collaborative communication for AI data-centers. Ensure scalability, reliability, and robust large-model training across hardware, software, and applications while driving innovation and cross-functional implementation toward production and manufacturing.

Design, build, and validate agent-focused robotics infrastructure across simulation, training, and on-robot deployment. Own CI/CD (CMake, Bazel, Python), Docker/Linux runners, evaluation pipelines, and documentation; create agent skills and tooling to drive adoption and ensure agentic workflows are tested and production-ready.

Verify SoC/GPU designs using advanced verification methodologies. Define verification scope and infrastructure for memory subsystems, develop reusable verification components, collaborate with architects, designers, and software engineers, and debug complex issues.

Design and architect on-chip GPU/CPU clock domains, collaborate with front-end, physical design, timing, verification and SW teams to implement clock RTL, optimize PPA, support ASIC implementation through sign-off and silicon bring-up.

Drive end-to-end quality in AI microservices, lead testing strategies, mentor engineers, and enhance automation practices while validating AI inference workflows.

Lead performance practices for large-scale AI systems, enhance datacenter products, and resolve complex performance issues through collaboration and technical expertise.

The Senior System Software Architect will design, validate, and create enterprise AI factory architectures, collaborating with various teams to optimize deployment strategies and systems performance across compute, storage, and networking infrastructures.

Lead architecture, design, and development of hardware-accelerated AI networking software (BlueField DPU, ConnectX). Drive deep technical engagements with hyperscalers for design-in, bring-up, performance tuning, failure analysis, and production hardening. Partner cross-functionally to turn customer needs into product features, tooling, and roadmap items while improving performance, reliability, and debuggability across stacks.

Own core NVMap components for L3/L4 autonomous driving. Define and align map requirements with partners, produce long-term product specifications, coordinate cross-functional roadmaps, track delivery risks, and ensure on-time business delivery while working closely with engineering and stakeholders.