Senior Firmware Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Networking, Cloud, HPC, StorageIndustries

Requirements

Bachelor’s or Master’s Degree (or equivalent experience) in Computer/Electronics Engineering
Over 8 years of experience in embedded systems design
Experience with data plane processors such as DSP, ARM, PowerPC, MIPS, or similar
Proficiency in C-language programming within a performance-sensitive environment
Strong understanding of hardware/firmware interaction and software/hardware partitioning

Responsibilities

Gain a thorough understanding of system debugging, networking technology and stacks, as well as the HW/FW/SW relationships
Design and implement new firmware features in NVIDIA's NIC/Switch Firmware core (e.g., NVIDIA’s ConnectX/Spectrum products)
Characterize and refine key firmware design elements and code to maximize performance and ensure robustness and flexibility
Understand how a large, complex software project is operated, maintained, qualified, and released, and learn how hardware and firmware are developed

Skills

Key technologies and capabilities for this role

CEmbedded SystemsARMPowerPCMIPSDSPFirmware DevelopmentNIC ArchitectureSwitch ArchitectureHardware-Firmware InteractionFirmware DesignFirmware VerificationNetworking

Questions & Answers

Common questions about this position

What experience level is required for the Senior Firmware Engineer role?

The position requires over 8 years of experience in embedded systems design.

What programming skills are needed for this position?

Proficiency in C-language programming within a performance-sensitive environment is required, along with experience with data plane processors such as DSP, ARM, PowerPC, MIPS, or similar.

Where is this job located?

The role is based in Tel Aviv, Israel, with the team in NVIDIA Israel.

What is the work environment like at NVIDIA's Firmware Team?

The work environment is dynamic and meaningful, with talented engineers around the globe driving data growth for the world’s largest companies.

What makes a candidate stand out for this role?

Candidates stand out with prior experience in firmware design and verification, familiarity with peripheral and network protocols, excellent understanding of data structures and algorithms, and personal attributes like being motivated, independent, with strong social skills and teamwork ability.

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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