As the top tier artificial intelligence computing company, we are paving the way with innovations in self-driving cars, machine learning, super-computing, gaming, and visualization. We are building a team that will truly change the world and would love for you to join us. We are seeking a senior system software engineer to design and code computer vision software and help create the SDK for our Programmable Vision Accelerator (PVA) engine in the Tegra SoC platform. You will join a team of skilled software developers in crafting highly optimized computer vision, signal processing and machine learning algorithms for specialized DSP hardware. You will also help other internal and external customers to efficiently develop or map and optimize complex algorithms on the PVA’s VLIW/SIMD hardware. And you will also enhance the PVA SDK which enables others to develop for the PVA. We seek engineers with excellent leadership, communication, interpersonal, and analytical skills as well as a real passion for computer vision.
What you will be doing:
Develop and improve the SDK for internal and external customers who are developing on the PVA.
Develop and Optimize Algorithms to efficiently run on PVA.
Work with internal and external customers to help them develop and optimize algorithms on the PVA.
Provide technical leadership through your software development experience.
Help set technical direction and feature set for the PVA SDK.
Write effective, maintainable, and well-tested code. Enable automated testing.
Collaborate, learn, and grow skills with NVidians.
What we need to see:
Bachelor's or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science or related field (or equivalent experience).
8+ years of work experience writing high-performance software.
Consistent record of developing high-performance computer vision, image processing, radar and lidar signal processing software on DSPs, GPUs and/or CPUs.
Expertise in low-level (e.g., using VLIW/SIMD intrinsic, fixed-point math, numerical approximations) and high-level (parallelization) algorithm optimization.
Strong software development skills in C and C++, including low-level debugging and performance profiling.
Experience with Linux-based or QNX development environments.
Ability to write clear technical documentation.
Strong communication and interpersonal skills.
Ways to stand out from the crowd:
Experience in computer vision, image, radar and lidar signal processing.
Experience in programming DSP, SIMD or VLIW processors.
Background with ISO 26262 and IEC 61508 or equivalent quality/safety processes.
Understanding of software safety and safety development processes.
Consistent track record to effectively guide and influence in a technically strong multifaceted environment.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
