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Nvidia Machine Learning Jobs in New Jersey (NOW HIRING)

CoreWeave

Systems Engineer, Kernel

Livingston, NJ · On-site

$165K - $242K/yr

Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs * Docker, kubernetes (k8s ... Experience with machine learning is a huge bonus The base salary range for this role is $165,000 to ...

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$43.2K

$89.3K

How much do nvidia machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for nvidia machine learning in New Jersey is $43,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,700.00 per year, depending on experience, location, and employer.

What is a Nvidia machine learning job?

A Nvidia Machine Learning job involves developing and optimizing AI models, deep learning frameworks, and GPU-accelerated applications. Engineers in this role work on cutting-edge research, building scalable ML solutions, and improving performance on Nvidia hardware like GPUs and AI accelerators. They collaborate with software and hardware teams to enhance AI capabilities across industries such as gaming, healthcare, and autonomous systems. Strong coding skills in Python, C++, and experience with ML frameworks like TensorFlow or PyTorch are often required.

What are the key skills and qualifications needed to thrive in the Nvidia machine learning position?

To thrive in an Nvidia Machine Learning role, a deep understanding of machine learning algorithms, proficiency in programming languages like Python or C++, and a solid background in mathematics or computer science are essential. Experience with Nvidia's CUDA, TensorRT, cuDNN, and familiarity with modern deep learning frameworks such as TensorFlow or PyTorch are highly valued, as are relevant certifications in AI or data science. Strong problem-solving skills, teamwork, and effective communication distinguish top candidates in collaborative, fast-paced environments. These skills are crucial for developing and optimizing AI solutions that leverage Nvidia’s advanced hardware and software platforms.

What are some common challenges faced by professionals in Nvidia machine learning roles?

One common challenge in Nvidia Machine Learning roles is optimizing models to fully leverage GPU architectures for both performance and efficiency, which requires continuous learning as the technology rapidly evolves. Team members often work on complex, large-scale projects that demand close collaboration across software, hardware, and research divisions. Navigating the fast pace of innovation and contributing effectively to cross-functional teams is essential for success. However, these challenges also make the role exciting and offer excellent opportunities for professional growth and hands-on experience with state-of-the-art AI solutions.

What are the most commonly searched types of Nvidia Machine Learning jobs in New Jersey?

The most popular types of Nvidia Machine Learning jobs in New Jersey are:

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

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Nvidia Machine Learning jobs near you
Infographic showing various Nvidia Machine Learning job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $43,232 per year, or $20.8 per hour.

Systems Engineer, Kernel CoreWeave Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA[...]

Neura Market

Livingston, NJ • On-site

$165 - $242/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New

Job description

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

What You’ll Do:

CoreWeave is seeking a highly skilled and motivated Systems Kernel Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will be a key contributor to the stability, performance, and evolution of CoreWeave’s Linux based infrastructure. As a kernel generalist, you will be responsible for debugging kernel-level issues, analyzing and fixing crashes, panics, dumps, and upstreaming fixes and features that improves the performance and reliability of our stack.

This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage.

Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet

Our Team’s Stack:

  • Python, Go, bash/sh, C
  • Prometheus, Victoria Metrics, Grafana
  • Linux Kernel (custom build), Ubuntu
  • Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs
  • Docker, kubernetes (k8s), KubeVirt, containerd, kubelet

Focus Areas:

  • Kernel Debugging – Analyze kernel crashes, oopses, panics, and dumps to identify root causes and propose fixes.
  • Upstream Contributions – Develop patches for the Linux kernel and upstream them where applicable (networking, storage, virtualization, GPU/DPU enablement).
  • Stack-Wide Support – Ensure kernel support and stability across:
    • Virtualization (KubeVirt, QEMU, vFIO)
    • Container runtimes (containerd, nydus, kubelet)
    • HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand)
  • Kernel-Hardware Enablement – Support new hardware bring-up across Intel, AMD, ARM CPUs, NVIDIA GPUs, DPUs, and NICs.
  • Performance & Stability – Tune kernel subsystems for latency, throughput, and scalability in distributed HPC/AI clusters.
About the role:
  • Triage and fix kernel crashes and performance regressions.
  • Develop, test, and upstream kernel patches relevant to CoreWeave’s hardware/software environment.
  • Collaborate with hardware vendors and the Linux community on feature enablement.
  • Implement diagnostics and tooling for kernel-level observability.
  • Work closely with HPC and Fleet teams to ensure kernel readiness for production workloads.
  • Provide kernel-level expertise during incident response and root-cause investigations.
Who You Are:
  • 5+ years of professional experience in Linux kernel engineering or systems-level development.
  • Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
  • Deep understanding of kernel internals (memory management, scheduling, networking, storage, drivers).
  • Experience debugging kernel crashes, dumps, and panics using tools like crash, gdb, kdump.
  • Strong C programming skills with the ability to write maintainable and upstream-quality code.
  • Experience working with kernel modules, drivers, and subsystems.
  • Strong problem-solving abilities with a “full-stack” systems perspective.

Preferred:

  • Contributions to the Linux kernel or related open-source projects.
  • Familiarity with virtualization (KVM, QEMU, VFIO) and container runtimes.
  • Networking stack expertise (InfiniBand, RoCE, TCP/IP performance tuning).
  • GPU/DPU bring-up and driver experience.
  • Experience in HPC or large-scale distributed systems.
  • Familiarity with QA/QE best practices
  • Experience working in Cloud environments
  • Experience as a software engineer writing large-scale applications
  • Experience with machine learning is a huge bonus

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include:

  • Medical, dental, and vision insurance - 100% paid for by CoreWeave
  • Company-paid Life Insurance
  • Voluntary supplemental life insurance
  • Short and long-term disability insurance
  • Flexible Spending Account
  • Health Savings Account
  • Tuition Reimbursement
  • Ability to Participate in Employee Stock Purchase Program (ESPP)
  • Mental Wellness Benefits through Spring Health
  • Family-Forming support provided by Carrot
  • Paid Parental Leave
  • Flexible, full-service childcare support with Kinside
  • 401(k) with a generous employer match
  • Flexible PTO
  • Catered lunch each day in our office and data center locations
  • A casual work environment
  • A work culture focused on innovative disruption

California Applicants

California Consumer Privacy Act

Equal Opportunity & Accommodations

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

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