Top Tech Jobs & Startup Jobs

Develop and execute product-level reliability qualification plans for advanced-node ICs and packaged devices. Collaborate with design, packaging, test, and product teams to validate reliability stress tests, analyze failures and failure mechanisms, build failure models, drive corrective actions, maintain reliability databases, and produce qualification reports and presentations.

Design and micro-architect a high-performance MMU for GPUs; develop and apply advanced verification methodologies; make architecture decisions; mentor engineers; collaborate with architects, designers, and software engineers across sites.

Design and implement Rust-to-GPU compiler backends, IR frameworks, and JIT/AOT toolchains. Lower Rust AST/MIR to MLIR/LLVM/PTX, build GPU-specific optimizers, enforce safe parallel abstractions across host/device boundaries, and expose ergonomic device-side primitives. Drive projects from research to production and support profiling, debugging, and benchmarking workflows.

Design, develop, and debug system software for NVIDIA Halos across QNX, Linux, and hypervisor environments. Build BSP, boot, drivers, device-management, and I/O virtualization for NVIDIA SoCs. Use formal methods and AI-assisted tools to develop safety- and security-compliant software (ISO 26262/21434). Perform platform bring-up, performance analysis, debugging, and cross-team integration for mixed-criticality, real-time embedded systems.

Enable end-to-end agentic AI GPU deployments on NVIDIA RTX and DGX by profiling and optimizing performance, contributing to open-source LLM/GenAI projects, delivering trainings and sample code, collaborating with drivers/architecture teams, and mentoring junior engineers.

Stabilize and optimize customer AI/HPC clusters post-deployment, address networking change requests, validate and troubleshoot InfiniBand/Ethernet fabrics, collaborate with CBU DevOps and Infrastructure Solutions Architects, and support pre- and post-sales networking engagements to help customers expand clusters.

Architect, prototype, and deploy production-grade agentic and multi-agent AI systems for Media & Entertainment. Build high-performance RAG pipelines over multi-modal assets, optimize GPU inference and TCO on NVIDIA platforms, advise customers pre/post-sale, and create reusable reference architectures, blueprints, and technical collateral to scale solutions.

Design and optimize low-latency C/C++ systems for real-time streaming over 5G, Wi‑Fi, and other wireless networks. Integrate with cellular and platform APIs, analyze packet captures and telemetry to fix latency and packet loss, develop KPIs and test frameworks, build realistic wireless simulations, and partner with cloud, automotive, carrier, and platform teams to deliver scalable connectivity solutions.

Analyze and reduce RTL and pre‑silicon power for GPUs and networking chips using EDA tools and AI/ML. Run workloads, perform comparative power analysis, prototype Verilog features, debug power anomalies, and collaborate with architects, RTL designers, and physical design teams to drive power improvements.

Design, build, and optimize production-quality systems for interactive world models, simulation, rendering, and real-time GPU inference. Integrate generated worlds, reconstructed scenes, and evaluation loops into scalable, reliable end-to-end systems while collaborating across research and product teams to move prototypes to production.