Application Engineer - HPC and AI at the Edge

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Manufacturing, Artificial Intelligence, High-Performance ComputingIndustries

Requirements

Candidates must have 5+ years of experience building real-time sensor processing applications with a strong technical focus in a specific domain such as scientific computing, instrumentation, test & measurement, or defense. A bachelor's degree in electrical engineering, computer science, or equivalent experience is required, along with proficiency in Python and C/C++. Proven experience building AI algorithms for manufacturing applications using PyTorch, TensorFlow, or similar frameworks, and familiarity with scientific computing tools like MATLAB, LabView, and SciPy are essential. Spectacular written, verbal, and visual communication skills with an entrepreneurial spirit are also necessary.

Responsibilities

The Application Engineer will focus on accelerating the adoption of Holoscan across manufacturing domains by working directly with customers and developers on porting manufacturing algorithms and sensor processing applications to Holoscan. Responsibilities include profiling applications and running benchmarks to demonstrate GPU acceleration value, building examples and sample applications for tutorials, and collaborating with domain experts on whitepapers and marketing on blog posts. The role also involves participating and presenting in workshops, trade shows, and industry conferences.

Skills

HPC

Edge Computing

GPU Acceleration

Real-time Data Processing

Manufacturing Applications

Algorithm Porting

Benchmarking

Problem Solving

NVIDIA Holoscan

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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