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Remote Nvidia Machine Learning Jobs in Austin, TX

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Senior DevOps Engineer

Austin, TX · On-site +1

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... machine learning architecture. * Have an expert level understanding of Terraform and Ansible in ...

Kake Group

Senior Software Engineer

Austin, TX · Remote

$125K - $165K/yr

Ability to work independently in a remote environment Nice to Have * Experience working on AI, machine learning, or LLM-related projects * Familiarity with software quality assurance methodologies or ...

Aquent

UX Designer IV

Austin, TX · On-site +1

$82.15 - $91.28/hr

... remote U.S. contract opportunity, with a preference for candidates who can work within ... Experience designing AI or machine learning powered features. * Experience creating interaction ...

New

Airspace

Senior Specialist, Procurement

Austin, TX · On-site +1

As a recognized leader in AI and machine learning, our team leverages data and patented technology ... This position is flexible to remote with in the US. Success Metrics Key Goals: First 90 Days

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All JobsNvidia Machine Learning JobsRemote Nvidia Machine Learning JobsRemote Nvidia Machine Learning Jobs in Austin, TX

Remote Nvidia Machine Learning information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do remote nvidia machine learning jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote nvidia machine learning in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What is the difference between Remote Nvidia Machine Learning vs Remote Data Scientist?

AspectRemote Nvidia Machine LearningRemote Data Scientist
Required CredentialsDeep learning, GPU programming, Nvidia certificationsStatistics, programming, data analysis
Work EnvironmentFocus on GPU-accelerated ML models, Nvidia toolsData analysis, modeling, visualization
Industry UsageAI, autonomous vehicles, gaming, HPCBusiness analytics, research, finance

Remote Nvidia Machine Learning specialists focus on developing GPU-accelerated AI models using Nvidia technologies, often requiring specific certifications and expertise in GPU programming. In contrast, Remote Data Scientists analyze data, build predictive models, and interpret results across various industries. While both roles involve data and programming skills, Nvidia Machine Learning roles are more specialized in GPU-based AI development, whereas Data Scientists have broader data analysis responsibilities.

What are the most commonly searched types of Nvidia Machine Learning jobs in Austin, TX? The most popular types of Nvidia Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Nvidia Machine Learning jobs? Cities near Austin, TX with the most Remote Nvidia Machine Learning job openings:
Remote Nvidia Machine Learning jobs near you
Senior Design Verification Engineer (remote position)

Senior Design Verification Engineer (remote position)

Correct Designs

Austin, TX • On-site, Remote

$134K - $164K/yr

Contractor

Medical, Retirement

Re-posted 2 days ago

Job description

Senior Design Verification Engineer
Looking for new challenges? Would you like the variety of a contract position along with long term stability and benefits? Correct Designs can give it all to you.
Correct Designs is currently seeking talented Verification Engineers with prior System Verilog UVM experience to work with our major clients both in Austin, TX, and nationwide. Opportunities span from projects in AI and Machine Learning, processor fabric subsystems, SOC/ASIC products for vision processing, aerospace FPGAs, medical electronics, RISC-V based SoC, ARM based peripherals, and mixed signal DSPs. Successful candidates for this role will support verification of advanced CPU/GPU based SOCs.
Correct Designs is NOT the typical contracting, staff augmentation firm. Our engineers have respected long term roles with generous hourly rates in excellent team environments. A typical contract may last 3 years, although we have shorter and even longer term work available. We are well respected in the Design Verification community with clients always seeking new CDI engineers. If you need a few months off between contracts you can take that break and know there will be plenty of work available when you return. If you like the stability of always working, simply move to the next contract with little time off. Correct Designs does provide health care and retirement plan benefits.
We are based in Austin, Texas with clients throughout the US. There are opportunities for both in-person and remote work.
Our current positions are filled but we have clients looking for skilled CDI engineers on a regular bases. Please submit your resume so we can match you up with upcoming projects.
Whether you are an experienced veteran looking for new challenges, or a talented engineer seeking to broaden your experience, we can offer exciting options for your career.
Correct Designs uses E-Verify to confirm work status eligibility.
RESPONSIBILITIES:
  • Verify complex design blocks using equally complex SV/UVM verification environments
  • Develop and execute pre-silicon verification test plans
  • Develop directed and random verification tests to validate block and IP functionality
  • Develop verification components and tools
  • Develop verification functional coverage using industry standard coverage analysis tools/methods
  • Debug regression fails
  • Replicate functional issues found in external environments or post-silicon; review/enhance tests to verify bug fixes

REQUIRED SKILLS AND EXPERIENCE:
  • 8 or more years of proven verification experience in a hardware development setting
  • Strong background in SystemVerilog and UVM verification methodologies
  • Strong debug skills and experience with debug tools such as DVE/Verdi
  • Proficiency in Object Oriented programming, computer architecture and data structures
  • Strong analytical/problem solving skills and pronounced attention to details
  • Strong interpersonal and communication skills
  • Must be comfortable working across geographies

DESIRED SKILLS:
  • Experience architecting/developing verification environments and infrastructure, including scripting using Perl, Ruby, Make, or similar
  • Experience in other related domains such as formal verification, RTL design, or software development

EDUCATION:
Bachelor or Master's in Electrical Engineering, Computer Engineering, or Computer Science

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