Senior Software Engineer, Aerial - Performance at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Telecommunications, TechnologyIndustries

Requirements

BS/MS (or equivalent experience) in a relevant field and 10+ years’ experience or PhD with 5+ years’ experience or equivalent
Strong software design, development, debugging and testing skills
Hands-on experience with performance analysis, characterization and optimization
Experience with programming latency sensitive, real-time, multi-threaded applications on CPUs and one or more of GPUs or DSPs or Vector processors
Deep knowledge of CPU, DSP or GPU architecture, as well as memory, I/O and networking interfaces
Familiarity with data science and using visualization tools to summarize large quantities of data
Experience in one or more programming / scripting languages: C/C++, Python, shell scripting

Responsibilities

Optimizing CPU, GPU and NIC sub-systems for predictable low-latency and maximum efficiency
Crafting and implementing performance verification tools, frameworks and dashboards
Monitoring and prioritizing performance regressions reported by CI/CD
Collaborating with multi-functional teams to solve performance bottlenecks in CPU, GPU and NIC sub-systems
Benchmarking performance use-cases on different platforms

Skills

Key technologies and capabilities for this role

C/C++PythonShell ScriptingPerformance OptimizationCPU ArchitectureGPU ProgrammingMulti-threaded ProgrammingReal-time ApplicationsPerformance AnalysisBenchmarkingCI/CDData VisualizationNetworking InterfacesMemory Optimization

Questions & Answers

Common questions about this position

What is the salary range for this Senior Software Engineer position?

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this position remote or does it require working from an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Required qualifications include BS/MS with 10+ years’ experience or PhD with 5+ years’ experience, strong software design/development/debugging/testing skills, hands-on performance analysis/optimization experience, programming latency-sensitive real-time multi-threaded apps on CPUs/GPUs/DSPs, deep knowledge of CPU/DSP/GPU architecture/memory/I/O/networking, data science/visualization familiarity, and experience in C/C++, Python, shell scripting.

What is the company culture like at NVIDIA for this team?

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer, valuing diversity in employees and not discriminating in hiring or promotion practices.

What makes a candidate stand out for this position?

Candidates can stand out with experience in designing/managing firmware timelines for wireless SoCs in cellular networks, track record in E2E design/testing of PHY layer signal processing or MAC resource allocation optimization, CUDA experience, and appetite to learn next-gen GPU details for 5G/6G software-radio stacks.

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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