Senior System Software Engineer - Computer Vision Algorithms and SDK at NVIDIA

Santa Clara, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Automotive, GamingIndustries

Requirements

Bachelor's or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science or related field (or equivalent experience)
At least 5+ 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

Responsibilities

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

Skills

Key technologies and capabilities for this role

Computer VisionImage ProcessingSignal ProcessingMachine LearningDSPGPUVLIWSIMDSDK DevelopmentAlgorithm OptimizationHigh-Performance Software

Questions & Answers

Common questions about this position

What education and experience are required for this Senior System Software Engineer role?

A Bachelor's or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science or related field (or equivalent experience) is required, along with at least 5+ years of work experience writing high-performance software.

What key technical skills are needed for this position?

Expertise in low-level algorithm optimization (e.g., VLIW/SIMD intrinsics, fixed-point math), strong C and C++ development skills including low-level debugging and profiling, and experience with Linux-based or QNX environments are essential.

Is this a remote position, or does it require working in an office?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What experience would make me stand out as a candidate?

Experience in computer vision, image, radar and lidar signal processing, programming DSP, SIMD or VLIW processors, and background with ISO 26262 or IEC 61508 safety processes would help you stand out.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

Land your dream remote job 3x faster with AI

Try Jobo Free