Senior System Software Engineer at NVIDIA

Pune, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Gaming, Robotics, Artificial IntelligenceIndustries

Requirements

Bachelor's or master’s degree in computers, Electrical, Electronics Engineering or related field
A minimum of 10 years of experience in embedded SW development in video and multimedia processing
Strong technical abilities including experience in C programming, modern C++, Python scripting
Experience in digital video sub systems
Experience in implementing video compression standards
Established track record in formulating pre and post-processing algorithms for digital video pipelines
Experience of working on DL/ML and CV algorithms connected to video compression and multimedia systems
Ways to stand out
Knowledge of state of art Video compression standards
Hands on implementation of algorithms in Cuda, Shaders on GPU
Exposure to DL/ML techniques on DL frameworks
Experience in ARM architecture
Knowledge of ASPICE and ISO – 26262 safety standards

Responsibilities

Build and deliver highly optimized system software for Video subsystem
Develop the Software in compliance with safety standards
Be accountable for results
Make the right technical choices and tradeoffs governed by data driven development
Collaborate with multi-functional software teams contributing to roadmap
Optimize end to end use cases involving video subsystem
Continuous improvement of quality and performance of the software and set a higher standard

Skills

Key technologies and capabilities for this role

System SoftwareVideo ProcessingMultimedia SoftwareTegraVideo AlgorithmsVideo CodingPerformance OptimizationPower OptimizationSafety Standards

Questions & Answers

Common questions about this position

What experience level is required for this Senior System Software Engineer role?

A minimum of 10 years of experience in embedded SW development in video and multimedia processing is required.

What are the key technical skills needed for this position?

Strong technical abilities including experience in C programming, modern C++, Python scripting, digital video subsystems, video compression standards, and pre/post-processing algorithms for digital video pipelines are required.

What education is required for this role?

A Bachelor's or Master’s degree in computers, Electrical, Electronics Engineering or related field is required.

What is the work environment like at NVIDIA's Tegra Software unit?

You'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work, collaborating with multi-functional software teams on innovative video and multimedia projects for autonomous vehicles, gaming, robotics, and AI at the edge.

What skills will help me stand out as a candidate?

Knowledge of state-of-the-art video compression standards, hands-on implementation of algorithms in CUDA or shaders on GPU, exposure to DL/ML techniques on DL frameworks, experience in ARM architecture, and knowledge of ASPICE and ISO-26262 safety standards will 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.

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