Director, Programmable Vision Accelerator Software at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Automotive, RoboticsIndustries

Requirements

MS or PhD in Computer Science, Computer Vision, Robotics, or related areas or equivalent experience
12+ overall years of proven experience in the embedded software industry, including 8+ years in technical leadership roles with responsibility for delivering high quality production software (ideally computer vision system software and libraries) in a fast-paced environment
Outstanding leadership, collaboration and influencing skills with the ability to successfully build, lead and motivate large teams of system software and algorithm developers in highly dynamic matrix organization
Strong knowledge of operating system internals, memory management, C/C++, and embedded / system software concepts
Deep understanding and working experience with embedded architectures including DSP, computer vision, image/signal processing and robotics systems in general
Familiarity with Pre-silicon/Post-silicon SW development life cycle and tools
Pragmatic and data-driven project management skills to navigate software development life cycle requirements, product release schedules, and customer desires and deliver quality software on schedule
Proven technical expertise and willingness to stay on top of the latest software products and technologies, and be able to internalize and communicate how new technologies can be integrated into NVIDIA’s software

Responsibilities

Act as both a technical and managerial leader for the PVA software teams, including creating and owning vision/strategy, shaping product roadmap, defining technical architecture, and leading execution
Provide clear direction and goals to world-class software teams and ensure that the best engineering practices are established and followed
Continuously identify improvement opportunities in new and established processes, infrastructure, and practices to ensure the teams are performing in the most efficient and transparent manner
Collaborate with other engineering teams, program and product management teams, and customers/partners to ensure product requirements, goals and objectives are met or exceeded
Pursue every task with drive and appropriate sense of urgency, consistently move problems toward resolution and help others do the same

Skills

Computer Vision

DSP

SDK

Tegra SoC

System Software

Deep Learning

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.

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