Senior Software Aerial Performance Engineer at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Telecommunications, 5G, 6G, SemiconductorsIndustries

Requirements

BS/MS (or equivalent experience) in a relevant field and 12+ years’ experience or PhD with 7+ 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

Developing new Features for Aerial L1 and L2 Software
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 SystemsLatency OptimizationPerformance AnalysisCI/CDData VisualizationNetworking InterfacesMemory SystemsBenchmarking

Questions & Answers

Common questions about this position

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

The role requires BS/MS with 12+ years’ experience or PhD with 7+ years’ experience or equivalent.

What programming skills are needed for this position?

Strong software design, development, debugging and testing skills are required, along with experience in one or more programming/scripting languages: C/C++, Python, shell scripting.

What are the key responsibilities in this role?

Responsibilities include developing new features for Aerial L1 and L2 software, optimizing CPU, GPU and NIC sub-systems, crafting performance verification tools, monitoring regressions, collaborating on bottlenecks, and benchmarking performance.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What makes a candidate stand out for this role?

Candidates stand out with experience in designing and managing firmware timelines for wireless SoCs, massive MIMO algorithm implementation, E2E design/testing of PHY layer algorithms, field support/Network Optimization, and appetite to learn next-gen GPU details for 5G/6G 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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