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Nvidia Software Jobs in New Jersey (NOW HIRING)

... Software development team, you will be responsible for designing and implementing new protocols and algorithms that enable the best performance possible on Nvidia networked supercomputers and ...

... Software development team, you will be responsible for designing and implementing new protocols and algorithms that enable the best performance possible on Nvidia networked supercomputers and ...

As a Software Engineer, you will be responsible for designing and developing software applications ... You will be working with embedded platforms, such as Nvidia Jetson, to have robotic control and AI ...

As a Software Engineer, you will be responsible for designing and developing software applications ... You will be working with embedded platforms, such as Nvidia Jetson, to have robotic control and AI ...

AI Architect

Newark, NJ · On-site

$180 - $240/hr

... software delivery platform using Claude Code, agentic code review/optimization tools (ponytail or similar), product build orchestrators (gstack or similar), and NVIDIA's open-source agentic toolkits ...

... HPC - Nvidia, CUDA • Preferred experience with configuration Management tools like Ansible ... Company : Keylent provides Software Development Services in the Cloud, Analytics and Digital ...

... HPC - Nvidia, CUDA • Preferred experience with configuration Management tools like Ansible ... Company : Keylent provides Software Development Services in the Cloud, Analytics and Digital ...

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Nvidia Software information

See New Jersey salary details

$48.7K

$113.5K

$168.5K

How much do nvidia software jobs pay per year?

As of Sep 5, 2026, the average yearly pay for nvidia software in New Jersey is $113,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,400.00 and $132,000.00 per year, depending on experience, location, and employer.

What is an Nvidia software engineer?

Nvidia Software engineers are professionals who design, develop, and optimize software solutions for Nvidia's products, such as GPUs, AI platforms, and related technologies. They work on a variety of projects, including graphics drivers, deep learning frameworks, and high-performance computing applications. Their role involves collaborating with hardware engineers, improving system performance, and ensuring seamless integration with Nvidia hardware. Nvidia Software engineers are essential in advancing the capabilities of graphics and AI technology.

What skills and qualifications are needed to thrive as an Nvidia software engineer?

To thrive as an Nvidia Software Engineer, you need proficiency in programming languages like C++ and Python, strong knowledge of computer architecture, and often a degree in computer science or a related field. Familiarity with parallel computing platforms such as CUDA, GPU development tools, and version control systems like Git is typically required. Problem-solving abilities, collaboration, and effective communication are crucial soft skills for success in this role. These competencies enable engineers to efficiently develop high-performance software and contribute to innovative graphics and AI solutions.

What are common challenges faced by software engineers working at Nvidia, and how can they be addressed?

Software engineers at Nvidia often work on cutting-edge technologies in fields like graphics, AI, and high-performance computing, which can present unique challenges such as rapidly evolving technical requirements and complex problem-solving scenarios. Collaborating across multidisciplinary teams—often globally distributed—requires strong communication and adaptability. To succeed, it's important to proactively seek feedback, stay updated on emerging trends, and leverage Nvidia’s internal learning resources. Embracing a collaborative mindset and being open to continuous learning can help engineers navigate these challenges effectively.

What is the difference between Nvidia Software vs Nvidia Hardware Engineer?

AspectNvidia SoftwareNvidia Hardware Engineer
Required CredentialsBachelor's in Computer Science, Software Development experienceBachelor's in Electrical Engineering or Computer Engineering, hardware design experience
Work EnvironmentSoftware development teams, R&D labs, collaborative projectsHardware labs, prototyping, testing environments
Industry UsageDeveloping drivers, AI software, GPU programmingDesigning GPU chips, circuit boards, hardware components
Common Search/ComparisonYesNo

In summary, Nvidia Software professionals focus on developing and maintaining software solutions like drivers and AI applications, requiring programming skills and software credentials. Nvidia Hardware Engineers work on designing and testing physical GPU components, requiring engineering expertise. Both roles are vital in the tech industry but differ in their focus and skill sets.

What are popular job titles related to Nvidia Software jobs in New Jersey?

For Nvidia Software jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Nvidia Software jobs in New Jersey look for?

The top searched job categories for Nvidia Software jobs in New Jersey are:

Infographic showing various Nvidia Software job openings in New Jersey as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $113,549 per year, or $54.6 per hour.

Senior Manager, Validation and HPC - NVIS

Nvidia

Holmdel, NJ • On-site

Full-time

Posted 7 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

NVIDIA is in search of an HPC Deployment Manager to bolster our NVIDIA Infrastructure Specialists division! Across academia and industry, NVIDIA's products are driving ground-breaking advancements in deep learning, data analytics, and the optimization of data centers. Join our team, where we are at the forefront of constructing some of the globe's most expansive and rapid data centers! We seek an individual capable of supervising the deployment of cutting-edge InfiniBand and Ethernet technologies with a team comprising AI and HPC experts. This role demands dynamic interpersonal abilities and a customer-centric approach.

This Senior Manager will engage with clients, collaborators, and internal units to assess, delineate, and complete large-scale AI/HPC initiatives. They will orchestrate the day-to-day operations, guidance, and cultivation of a multi-layered team of HPC service professionals. This entails ensuring the timely delivery of a varied spectrum of AI HPC data center projects. Furthermore, this role offers an opportunity to thrive within a fast-paced, inventive, and technologically sophisticated atmosphere, emphasizing unparalleled performance and the exploration of an array of novel hardware and software technologies in AI supercomputing.

What you will be doing:

  • Directs and supervises the service HPC engineering functions in designing, developing, installing, and validating hardware and software for the Customer AI High-Performance Computing (HPC) systems.

  • Responsible for leading our HPC projects' planning, implementation, and performance. Improves the integrity of system services bring-up and related by applying groundbreaking technical and operational knowledge to configure and maintain HPC AI network and server platforms.

  • Drives HPC team hardware and software deployment, plans, develops, and deploys procedures for system validation.

  • Lead team activities and drive tests and plans for Customer's HPC AI systems implementations, custom scripts, and testing procedures to ensure operational reliability for the system.

  • Supports the HPC Engineering team, working with other internal collaborators to develop and run a well-rounded strategy for delivering service quality and continuous service improvement.

  • Leads team member development, helping them set and achieve goals for their career growth.

  • Build strong relationships with NVIDIA leaders, customers, partners, and collaborators. Works closely to identify, implement, and support leading NVIDIA's AI solutions engineering, maintaining currency with industry standards and innovations.

  • Be the domain authority with customers during planning calls through implementation.

What we need to see:

  • 10+ overall years' experience in IT, high-performance computing, or other related field; 3+ years of experience in a management or leadership role

  • Demonstrated expertise in HPC systems design configuration and planning, and solid knowledge of HPC storage

  • Proficiency with low latency/high-bandwidth interconnect infrastructure (Infiniband and Ethernet).

  • Expertise with HPC system software cluster management/provisioning tools, including job schedulers (Slurm, salt, xCAT).

  • Proficiency with shared and distributed memory parallelism (OpenMP, MPI, NCCL and HPL) and accelerators (GPUs).

  • Strong scripting ability (Bash, Perl, Python, etc.) and experience with programming fundamentals.

  • Expertise with administration, supervising and maintaining secure Linux/Unix operating systems (CentOS, Solaris).

  • Ability to understand and work with large, sophisticated systems, identify and resolve problems, handle performance, and troubleshoot network issues related to infrastructure.

  • Expertise with multi-vendor hardware/software management, security, and network/Internet protocols

  • Bachelor's degree in computer science, information systems, or a related field or equivalent experience

Ways to stand out from the crowd:

  • InfiniBand experience.

  • Experience with GPU-focused hardware/software.

  • Experience with MPI.

  • Automation tooling background (Ansible, Salt, Puppet, etc.).

  • Ethernet and Storage technologies such as Lustre or GPFS.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 216,000 USD - 345,000 USD for Level 4, and 248,000 USD - 396,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 1, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US