Senior C/C++ Software Engineer at NVIDIA

Kyiv, Kyiv, Ukraine

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Networking, SemiconductorsIndustries

Requirements

5+ years of hands-on experience in C/C++ software development (experience with embedded systems, binary network protocols)
Higher IT or Technical Education
English — Advanced Level
High ability to learn new things, do research, and analysis of tasks
Effective cross-team collaboration and communication, being a team-player, SCRUM-oriented
Ability to inspect and improve the code, processes, and architecture of the existing systems, deliver high-quality code
Strong background in designing, implementing, debugging and testing complex software
Ways to stand out
Strong expertise in networking: familiarity with NVIDIA's networking solutions, in-depth understanding of networking management protocols, network troubleshooting, ability to provide optimal solutions for complex, network-centric environments
R&D mindset: ability to work in fast-paced, evolving environments with technologies. Skilled at collaborating cross-functionally with other teams and partnering with architects to anticipate, explore, and define edge cases in specifications, ensuring future-proof and scalable solutions
Proficient in test automation and test case design: Strong ability to design comprehensive and efficient test cases, ensuring coverage of edge cases and critical scenarios. Experienced in developing and maintaining automated testing frameworks to validate functionality, performance, and reliability, streamlining the QA process and improving overall software quality
Excellent knowledge of development tools: build systems, version control systems (Git, Gerrit), Linux administration, and shell scripting (Bash, Python)

Responsibilities

Design and implement new features in NIC/DPU firmware design and verification
Participate in implementing the new standards and protocols in data center management technologies
Launch new hardware, and make sure our new products are secure, reliable, and fast
Work with various teams inside NVIDIA and share technologies across many products
Work on the new features starting from the pre-silicon stage and during the entire product life stages

Skills

C++

embedded systems

network protocols

firmware

NIC

DPU

networking

SCUM

debugging

testing

code review

architecture

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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