Top Tech Jobs & Startup Jobs

Manage multistate income tax compliance, oversee tax provision processes, lead audits, and implement tax planning strategies while mentoring team members.

Support NVIDIA networking technologies (Spectrum-X, RoCE, InfiniBand); engage customers in pre-sales, develop proofs-of-concept, debug sophisticated issues, collaborate with R&D on features, and help define product requirements for AI/HPC networking platforms.

Lead and build a global Board Product Development Engineering organization to ensure chip-to-board integration readiness, manufacturing/test readiness, and yield for next-generation datacenter boards. Define cross-domain gates, drive DFM and SI practices, collaborate with suppliers and operations, investigate yield excursions, and own schedule, quality, and reliability through NPI to high-volume manufacturing.

Lead the Cumulus Linux development team, focusing on core infrastructure services and software features while managing people and collaborating with cross-functional teams.

Drive physical design for CPUs, GPUs, and SoCs focusing on netlist-related tasks, logic synthesis, and timing closure. Help in ECO generation.

Define high-level SoC subsystem and I/O architecture for LPU products, translate product requirements into architecture and IP specifications, build and validate functional/architectural models (C++, SystemC, Python), and drive tradeoffs across performance, power, reliability, and security while coordinating with IP, firmware, software, RTL, verification, and post-silicon teams.

Lead GPU ASIC development from concept through mass production. Coordinate architecture, RTL, verification, physical implementation, packaging, test and silicon bring-up. Track milestones, mitigate technical risks, and align cross-functional teams across IP, software, emulation, VLSI, and test to deliver high-performance GPU processors for AI datacenter products.

Design and build next-generation autonomous vehicle systems spanning prediction, decision, planning, and control. Integrate classical safety stacks with large-scale AI foundation models and inference architectures. Develop world-model based planning, end-to-end driving pipelines, system-level safety and fallback strategies, and production-grade AV software from perception through control.

Lead verification for GPU/SoC display IP: define verification scope and testplans, build UVM-based infrastructure, develop UVM and C/C++ testbenches, drive coverage closure, debug silicon integrations, and collaborate with architects, partners, and customers globally.

Design and implement idiomatic, safe Rust libraries and APIs for CUDA GPU computing; build Rust abstractions over native C/C++ interfaces; develop and maintain supporting C/C++ components; ensure FFI and Python interoperability; optimize cross-language and GPU performance; own features end-to-end including testing, profiling, benchmarking, documentation, packaging, and maintenance; collaborate with compiler, runtime, and Python teams; investigate and resolve safety, correctness, compatibility, and performance issues.