Senior Deep Learning Software Engineer - Autonomous Vehicles
We are looking for outstanding Deep Learning Software Engineers to develop and productize NVIDIA's deep learning solutions in autonomous driving vehicles. As a member of our Solution Engineering-Automotive Machine Learning team, you will apply ground breaking NVIDIA deep learning model training/inference software libraries for deployment on NVIDIA's hardware architecture. You will develop new deep learning architectures, train deep learning models, and compile and optimize DNN graphs. As a part of this role, you will be building a close technical relationship with our automotive partners during product development and coordinate with the architecture and software teams to develop the best solution for partners working on our platforms.
What you'll be doing:
Train, fine-tune, optimize and customize perception DNNs in low precision (FP16/INT8)
Apply sophisticated quantization of DNNs
Improve DNN architectures using ML algorithms on NVIDIA GPUs or DLAs
Continuously improve inference speed, accuracy and power consumption of DNNs
Stay up to date with the latest research and innovations in deep learning, implement and experiment with new insights to improve NVIDIA's automotive DNNs.
What we need to see:
MS or PhD degree in computer science, computer vision, computer architecture or equivalent experience in technical field
5+ years of work experience in software development.
2+ years of experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc.)
Experience with solving a computer vision task using deep neural networks, such as object detection, scene parsing, image segmentation.
Strong Python and/or C/C++ programming skills
Proven technical foundation in CPU and GPU architectures, containers (nvidia-docker), numeric libraries, modular software design
Familiar with CNNs and Transformer architectures
Willing to take action and have strong analytical skills.
Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very sophisticated projects.
Ways to stand out from the crowd:
Experience with low precision inference, quantization, compression of DNNs
Experience with NVIDIA software libraries such as CUDA and TensorRT
Open source project ownership or contribution, healthy GitHub repositories, guiding and/or mentoring experience
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people in the world working for us. If you're creative and passionate about developing technologies for autonomous driving, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
NVIDIA seeks an experienced Senior Director of Product Management to lead product strategy and execution for AI infrastructure platforms that power large-scale ML and HPC workloads.
Lead data center quality and sustaining programs at NVIDIA, coordinating with OEMs/ODMs and cloud providers to drive operational excellence and resolve high-profile customer issues.
Campus is hiring a Senior Full Stack Engineer to design scalable APIs, ship meaningful features, and help build backend systems that power an innovative online degree platform.
Be part of Spire's SpaceOps team building backend systems and operator tools that improve satellite fleet efficiency, telemetry analysis, and automated fault recovery.
AmpThink is hiring a Back-End Developer to build high-performance server-side systems, optimize databases, and integrate with front-end components.
Help build and scale Moonshot AI’s AI-driven platform as a Senior Fullstack Engineer, owning backend and frontend systems, data infrastructure, and LLM integrations.
Senior product security engineer to lead offensive security assessments and audits across ServiceNow products, partnering with engineering to reduce risk and harden our cloud platform.
Tamarind Bio is hiring an AI/LLM Engineer in San Francisco to build scalable, production-grade workflows and enhance an ML copilot for computational biology.
Prime Healthcare is hiring a Software Developer to build and maintain scalable software solutions that improve hospital operations and patient care.
As an Associate Engineer (Technology I) in Worcester, you will develop adaptable web interfaces and generative AI solutions to support R&D scientists within AbbVie's informatics platforms.
Lead Tin Can’s security strategy and hands-on engineering to protect family devices, cloud services, and sensitive user data while shaping secure-by-default practices across the company.
Lead the architecture and delivery of Experian’s GenAI platform as a Principal Engineer, driving technical strategy, multi-team execution, and scalable cloud-native AI products.
Build and maintain high-quality React + TypeScript front-end features for BlackRock’s Aladdin platform, working closely with product, backend, QA, and SRE teams in a hybrid setting.
Medra seeks a full-time, in-person Winter 2026 Full Stack Software Engineer intern in San Francisco to help develop front-end and back-end software for an autonomous lab robotics platform.
Help architect and scale a production ML inference platform at Tamarind Bio to serve hundreds of biological models and support rapid customer growth.
NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
181 jobs
🔮
Hi, I'm Risa! Your AI Career Copilot
you, just ask me below!
