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Remote Nvidia Engineering Jobs in Minnesota (NOW HIRING)

Remote Nvidia Engineering information

What is a Remote Nvidia Engineer?

A Remote Nvidia Engineer is a professional who works for Nvidia, or with Nvidia technologies, from a location outside of a traditional office setting. These engineers may specialize in areas such as GPU development, AI research, software engineering, or hardware design, and they collaborate with teams virtually. Remote Nvidia Engineers use digital tools to communicate, manage projects, and contribute to cutting-edge technologies in graphics processing, artificial intelligence, and computing platforms. The remote aspect allows for flexible work arrangements and the ability to participate in global projects.

What are some common challenges faced by engineers working remotely for Nvidia, and how can they be overcome?

Remote engineers at Nvidia often encounter challenges related to communication across time zones, staying aligned with fast-paced project developments, and maintaining visibility within distributed teams. To overcome these, it's important to proactively engage in virtual meetings, leverage collaboration tools like Slack and Jira, and regularly update your team on progress. Building strong relationships with peers and seeking out mentorship opportunities can also help remote engineers stay connected and advance within the company.

What are the key skills and qualifications needed to thrive as a Remote Nvidia Engineer, and why are they important?

To excel as a Remote Nvidia Engineer, you typically need a strong background in computer engineering, programming (e.g., C++, Python), and experience with GPU architectures, often supported by a relevant degree. Familiarity with Nvidia tools like CUDA, cuDNN, and deep learning frameworks, as well as proficiency in remote collaboration platforms, are crucial. Strong problem-solving skills, self-motivation, and effective communication are vital soft skills for working independently and collaborating across distributed teams. These competencies ensure efficient development, troubleshooting, and innovation in Nvidia's complex, high-performance computing environments.

What is the difference between Remote Nvidia Engineering vs Remote Nvidia Data Scientist?

AspectRemote Nvidia EngineeringRemote Nvidia Data Scientist
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with GPU programmingBachelor's or higher in Data Science, Statistics, or related; proficiency in machine learning and data analysis
Work EnvironmentDesign, develop, and optimize GPU hardware/software; collaborative teamsAnalyze large datasets, develop models, and generate insights; often cross-functional teams
Employer & Industry UsagePrimarily in hardware, AI, and high-performance computing sectorsPrimarily in AI, analytics, and research sectors

Remote Nvidia Engineering focuses on hardware and software development for GPUs, requiring engineering credentials and technical skills. Remote Nvidia Data Scientists analyze data and build models, requiring expertise in data science. Both roles are remote, but they serve different functions within Nvidia's ecosystem.

What are the most commonly searched types of Nvidia Engineering jobs in Minnesota? The most popular types of Nvidia Engineering jobs in Minnesota are:
What are popular job titles related to Remote Nvidia Engineering jobs in Minnesota? For Remote Nvidia Engineering jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Nvidia Engineering jobs in Minnesota look for? The top searched job categories for Remote Nvidia Engineering jobs in Minnesota are:
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Senior Design Verification Engineer (eInfochips Inc)

Arrow Electronics, Inc.

Eden Prairie, MN • On-site, Remote

$138K - $169K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Arrow Electronics rating

7.7

Company rating: 7.7 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Position:Senior Design Verification Engineer (eInfochips Inc)
Job Description:

What You'll Be Doing:

  • Testbenches: Build scalable verification environments using UVM and SystemVerilog.
  • Planning: Create detailed verification plans from architectural specifications.
  • Execution: Write, run, and debug constrained-random tests and directed tests.
  • Coverage: Define, measure, and close functional and code coverage metrics.
  • Gate-Level: Run gate-level simulations to verify power-up and timing states.
  • Automation: Develop scripts to automate regression runs and triage failures.

What We Are Looking For:

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
  • Languages: Strong proficiency in SystemVerilog and scripting (Python, Perl, or Tcl).
  • Methodology: Hands-on experience with UVM (Universal Verification Methodology)
  • Tools: Experience with industry-standard simulators Cadence Xcelium preferred, but experience with Synopsys VCS,  or Siemens Questa will translate
  • Concepts: Deep understanding of constrained-random verification, assertions (SVA), and functional coverage.
  • Protocols: Knowledge of common protocols like AMBA (AXI/AHB/APB)

Preferred Qualifications

  • Experience with formal verification tools and methodologies.
  • Background in power-aware verification using UPF/CPF.
  • Experience verifying custom ARM or DSP processor cores.
  • Familiarity with emulation platforms like Palladium.
  • Experience with:
    • MMU verification
    • SRAM/ memory subsystem verification
  • Nice-to-have:
    • DSP verification experience
    • Modeling (RNM / behavioral models)
  • Scope of Work
    • Verification at system/subsystem level, using SV/UVM + C-based testing, with emulation (Cadence Palladium).
      • New co-processing subsystem ((with NPU, MMU, SRAM, AXI).
      • Memory subsystem interactions
      • DSP/signal processing
      • SystemVerilog + UVM-based verification
      • C-based test development (processor-in-loop simulation)
      • Use of emulation platforms (Cadence Palladium or similar)
      • Some modeling using Real Number Models (RNM) for analog/digital interaction
  • Key Skills Needed |
    • Strong DV fundamentals
    • Experience with:
      • MMU verification
      • SRAM/memory subsystem verification
      • Bus protocols (AXI transition mentioned)
  • Nice-to-have:
    • DSP verification experience
    • Modeling (RNM / behavioral models)

What’s In It for You:

At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job. That’s why we offer competitive financial compensation, including various compensation plans and a solid benefits package.

  • Medical, Dental, Vision Insurance
  • 401k, With Matching Contributions
  • Short-Term/Long-Term Disability Insurance
  • Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options
  • Paid Time Off (including sick, holiday, vacation, etc.)
  • Tuition Reimbursement
  • Growth Opportunities
  • And more!

Work Arrangement Fully OnSite: Must be able to travel to an Arrow Client office location as requested by Arrow Client leadership.

Location: Complete On-Site at Minneapolis, MN (Preferred)/ Phoenix, AZ

About eInfochips: eInfochips, an Arrow company (Fortune #154), is a leading global provider of product engineering and semiconductor design services. A rich history of over two decades, with over 500+ products developed and 40M deployments in 140 countries, eInfochips continues to fuel technological innovations in multiple verticals. eInfochips has strategic technology partnerships with Qualcomm, NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few. Along with Arrow’s $38B in revenues, 22,000 employees, and 345 locations serving over 80 countries, eInfochips is primed to accelerate connected products innovation for 150,000+ global clients. eInfochips acts as a catalyst to Arrow’s Sensor-to-Sunset initiative and offers complete edge-to-cloud capabilities for its clients. Please visit www.einfochips.com for our portfolio of product engineering services across various industries & verticals.

EEO Statement: Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, age, sexual orientation, gender identity, national origin, veteran or disability status. (Arrow EEO/AAP policy)


Location:US-MN-Minnesota (Remote Employees)Remote work employees may be required to be present at the closest designated Arrow office for work-related purposes, at the Company’s request and sole discretion.
Time Type:Full time
Job Category:Engineering ServicesEEO Statement:

Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, age, sexual orientation, gender identity, national origin, veteran or disability status. (Arrow EEO/AAP policy)


All Arrow job postings are for existing job vacancies. We anticipate this requisition will be open for a minimum of five days, though it may be open for a longer period of time. We encourage your prompt application.


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