Senior Systems Software Engineer - Deep Learning Solutions

Address customer and partner optimization challenges: Engage directly with prominent automotive OEMs and robotics associates to analyze, debug, and improve their deep learning models on NVIDIA platforms. We emphasize delivering solutions rather than just recommendations.

Own performance benchmarking: Drive efforts to achieve leading results on MLPerf Edge and industry benchmarks, as well as closed-source engagements with key partners. Define methodology, ensure reproducibility, and turn results into actionable optimization priorities.

Evaluate emerging model architectures: Investigate new DL architectures, including vision encoders, multi-modal VLMs, hybrid SSM-Transformer backbones, diffusion/flow matching decoders, and multi-camera tokenizers, regarding compilation feasibility, memory footprint, and latency on target SOCs.

Collaborate across teams: Work alongside our compiler, runtime, and hardware groups to link model-level insight with platform capabilities.

Contribute to build reviews and help develop internal roadmap priorities based on real customer workload patterns.

Represent NVIDIA externally: Share our deep learning optimization expertise at conferences, webinars, and partner events. Help elevate the broader team by bringing back insights and establishing guidelines.

Deliver TensorRT and compiler-stack solutions for edge: Build and deploy inference solutions on Jetson, DRIVE, and GPU + ARM platforms for AV and robotics workloads. Develop Proofs of Readiness (PORs) and collaborate closely with our compiler team on Torch-TRT, MLIR-TRT, and related frameworks to bridge performance gaps.

Master’s degree or equivalent experience in Computer Science, Electrical Engineering, or a related field.

Over 12 years working in the industry, including at least 8 years specializing in deep learning model optimization, inference engineering, or neural network compilation. Proficiency in understanding and reviewing model architectures at the operator/kernel level, not merely handling their operation, is required.