Senior Software Engineer - VLM Microservices for Neural Reconstruction
$152k - $241.5kNVIDIA Gruppe
NVIDIA is a world‑leader in Gaussian Splatting and Neural reconstruction. Our team builds the Omniverse NuRec SDK to enable robotic, healthcare, and AV developers to build better models faster with closed‑loop validation and closed‑loop training grounded in real‑world scenarios. What you’ll be doing: Design, build, and optimize containerized inference execution for the latest 3D VLMs from NVIDIA, turning research work into production‑grade, highly optimized software (NIMs, NVIDIA Inference Microservices) Develop benchmarks to validate the models accuracy and performance (latency, throughput, scalability) Release and maintain the models and their pipelines throughout their lifecycle (bug fixes, security patches) Contribute VLM‑related features to Open‑Source projects like vLLM Collaborate closely with Research and Product teams and influence our common roadmaps What we need to see: Master's of Science in Computer Science + 3 years, or Electrical Engineering, Bachelor of Science (or equivalent experience) + 5 years of experience. History of building, validating and releasing production‑grade AI distributed systems, backend services, microservices, and cloud technologies. Deep technical expertise in distributed applications using Docker, Kubernetes, endpoints and their APIs (REST, gRPC), Helm. Hands‑on experience with modern inference platforms (vLLM, SGLang, Torch, TRT, TRT‑LLM). Proficiency with Python and C++. Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization). Excellent written, visual, and verbal communication. Curiosity and drive to learn new technologies and partner across teams and functions. Ways to Stand Out from the Crowd: Track record contributing to open‑source or production‑grade software. Are you a vLLM contributor already? Experience with ML model engineering: training, fine‑tuning, distillation, quantization. Experience with low‑level optimization of ML models (CUDA kernels) Strong fundamentals in 3D graphics, 3D computer vision or neural reconstruction (NERFs, Gaussian Splats). History of multidisciplinary creativity and innovation around software engineering in multiple problem domains. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr NVIDIA Gruppe
$152k - $241.5k
NVIDIA Gruppe, located in Santa Clara, is seeking a talented engineer to design and optimize containerized inference for advanced AI models. You will validate and release production-grade software, collaborating closely with research and product teams. The ideal candidate...Senior$150k - $250k
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...time visual experiences. At NVIDIA, our Neural Graphics team is where ground breaking... ...world simulation system delivering neural-reconstruction-level fidelity in open worlds — we're... .... We're looking for an outstanding engineer to be a driving force in this evolution...SeniorWorldwide$179.06k - $198.95k
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