Senior Software Engineer, DOCA Verification at NVIDIA

Ra'anana, M, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Networking, SemiconductorsIndustries

Requirements

Bachelor's or Master's degree in Computer Science or Software Engineering
Proven experience of 5+ years as a software engineer, with a focus on building complex software systems
Strong knowledge and practical experience in software design and architecture principles
Proficiency in programming languages such as Python, Java, C++ or similar
Deep understanding of software development methodologies and best practices
Excellent problem-solving skills and the ability to tackle complex technical challenges
Effective communication and collaboration skills
Demonstrated leadership capabilities
Track record of delivering high-quality work on time and meeting project deadlines

Responsibilities

Develop verification infrastructure in Python to ensure the robustness and correctness of DOCA™ Services
Engage in the full software development lifecycle of verification components, from design to implementation, and deployment
Write tests for verifying the functionality and performance of the DOCA platform
Debug and analyze complex system-level issues to identify root causes and ensure timely resolution

Skills

Key technologies and capabilities for this role

PythonJavaC++Software DesignSoftware ArchitectureLinuxNetworkingEthernetTCP/UDP/IPQoSL2-L3 ProtocolsVerificationDebugging

Questions & Answers

Common questions about this position

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

The role requires proven experience of 5+ years as a software engineer, with a focus on building complex software systems.

What programming languages are needed for this position?

Proficiency in programming languages such as Python, Java, C++ or similar is required.

What education is required for this job?

A Bachelor's or Master's degree in Computer Science or Software Engineering is required.

What skills would make me stand out as a candidate?

Expert level knowledge in Python, background in Operating Systems preferably Linux, and knowledge in networking areas like Ethernet, VLANs, TCP/UDP/IP, QoS, or L2-L3 protocols would help you stand out.

What is the company culture like at NVIDIA for this team?

NVIDIA has some of the most forward-thinking and hardworking people, values creative and autonomous individuals, and is committed to fostering a diverse work environment as an equal opportunity employer.

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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