Senior Firmware Application Engineer at NVIDIA

Taipei, Taiwan

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Datacenter, High-Performance Computing, Artificial Intelligence, Computer GamingIndustries

Requirements

BS or MS degree (or equivalent experience) in Computer Science/Computer Engineering/Electrical Engineering or a related field
5+ years of significant software development experience
Server System Architecture skill
Experience in developing server BIOS features, including security and UEFI implementation
Familiar with Linux/BMC skills/operations
Skills in C/C++ and Python (plus)
Excellent communication skills, flexibility in task assignments, and working under pressure

Responsibilities

Work with customers to provide deep technical assistance in NVIDIA requirements into customer platforms and rack solutions in the datacenter
Assist to achieve fully optimized design with NVIDIA products and provide customer feedback as to product features and software enhancement
Work for customers Datacenter platform brings up, issues analysis and root cause till mass production
Required tools development focus on NVIDIA Datacenter product segments needed
Provide tech training to customers for new Datacenter product engagement
Domestic and overseas travel will be required if needed

Skills

Key technologies and capabilities for this role

C/C++PythonLinuxBMCUEFIBIOSServer System Architecture

Questions & Answers

Common questions about this position

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

This is an in-office position at the NVIDIA Taipei office.

What are the key required skills for this role?

Candidates need a BS or MS in Computer Science, Computer Engineering, Electrical Engineering or related, 5+ years of software development experience, Server System Architecture skills, experience in server BIOS features including security and UEFI, and familiarity with Linux/BMC operations.

What is the salary or compensation for this position?

This information is not specified in the job description.

What qualities make a candidate stand out for this role?

Strong oral and written communication skills in both English and Chinese, being self-motivated, and aggressive to learn will help candidates stand out.

What is the work environment like at NVIDIA for this team?

The work is exciting, fun, and involves meaningful challenges on leading datacenter solutions with partner development.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free