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Remote Nvidia Hardware Engineer Jobs in Indiana (NOW HIRING)

This is a remote US-based position, with a preference to Atlanta, Tampa/St. Pete, and Salt Lake ... Support network lifecycle management (LCM) initiatives, including hardware refreshes, IOS upgrades ...

This is a remote position. #Li-Remote This role is contributing to the Electrification Smart ... hardware, protection and control relays, switchboards, power and lighting panelboards, busway ...

Drafter

Indianapolis, IN · Hybrid

$45K - $65K/yr

This position will be in the Indianapolis office with the opportunity for remote capability a ... You will be working with engineers to help design, model, and draft anything from tubes, brackets ...

Perform and approve design work (including: hardware, software, and project management role ... Remote Skills / Qualifications Qualifications: * BS Degree in Electrical Engineering OR minimum of ...

This role is remote based with up to 25% travel. As this role supports our Data Center region, this ... Bachelor's degree in engineering, technical, or relevant field preferred. * Strong analytical and ...

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Remote Nvidia Hardware Engineer information

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

To thrive as a Remote Nvidia Hardware Engineer, you need a strong background in electrical or computer engineering, experience with GPU architecture, and proficiency in hardware design and validation. Expertise with tools such as Verilog/VHDL, simulation environments, and familiarity with Nvidia’s development platforms or relevant certifications is common. Strong problem-solving abilities, effective remote communication, and collaborative teamwork skills set top candidates apart. These competencies ensure efficient development, troubleshooting, and innovation in high-performance hardware solutions within distributed teams.

What are some common challenges faced by Remote Nvidia Hardware Engineers, and how can they be addressed?

Remote Nvidia Hardware Engineers often encounter challenges related to effective collaboration and communication, especially when working on complex hardware design and testing with distributed teams. Staying aligned with project milestones, ensuring access to necessary hardware resources, and troubleshooting remotely can also be demanding. These challenges can be addressed by leveraging robust collaboration tools, maintaining clear documentation, and scheduling regular virtual meetings to synchronize efforts. Additionally, using remote desktop solutions and cloud-based simulation environments can help bridge the gap when physical access to hardware is limited.

What does a Remote Nvidia Hardware Engineer do?

A Remote Nvidia Hardware Engineer focuses on designing, developing, and testing hardware components and systems for Nvidia products, such as graphics processing units (GPUs) and related technologies, while working from a remote location. They collaborate with cross-functional teams to ensure hardware solutions meet performance, reliability, and efficiency standards. Their work may include circuit design, board layout, hardware debugging, and supporting the integration of Nvidia hardware into various devices. Remote engineers use digital communication and collaboration tools to work effectively with global teams and contribute to innovative hardware solutions.

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

AspectRemote Nvidia Hardware EngineerRemote Nvidia Software Engineer
Required CredentialsBachelor's or higher in Electrical Engineering, Computer Engineering, or related; hardware design certificationsBachelor's or higher in Computer Science, Software Engineering, or related; programming certifications
Work EnvironmentDesigning and testing hardware components, collaborating with hardware teamsDeveloping software, drivers, and algorithms for Nvidia products
Industry UsageHardware development for GPUs, AI accelerators, and embedded systemsSoftware development for drivers, SDKs, and AI frameworks

The main difference is that Remote Nvidia Hardware Engineers focus on designing and testing physical hardware components, while Remote Nvidia Software Engineers develop the software that runs on Nvidia hardware. Both roles require technical expertise but differ in their focus areas within the Nvidia ecosystem.

What are the most commonly searched types of Nvidia Hardware Engineer jobs in Indiana? The most popular types of Nvidia Hardware Engineer jobs in Indiana are:
What are popular job titles related to Remote Nvidia Hardware Engineer jobs in Indiana? For Remote Nvidia Hardware Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Nvidia Hardware Engineer jobs in Indiana look for? The top searched job categories for Remote Nvidia Hardware Engineer jobs in Indiana are:
What cities in Indiana are hiring for Remote Nvidia Hardware Engineer jobs? Cities in Indiana with the most Remote Nvidia Hardware Engineer job openings:
Infographic showing various Remote Nvidia Hardware Engineer job openings in Indiana as of May 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 95% Physical, and 5% Hybrid job distribution.
Network Engineer II

Full-time

Posted 21 days ago


Job description

Overview

When you think of InComm Payments, think of Innovative Payments Technology. We were founded over 30 years ago and continue to be a pioneer in the payment (FinTech) industry. Since our inception, we have grown to be a team of over 3,000 employees in 35 countries around the world. We own over 400 global technical patents and a network that includes over 525,000 points of retail distribution that points to our industry expertise.

InComm Payments works with the most recognized and valued brands in the world, and we are partnered with most of the world’s leading merchants. InComm Payments is highly focused on our people and their growth, and we work hard to make a career at InComm Payments meaningful and rewarding. We value innovation, quality, passion, integrity, and responsibility in all that we do, and we are looking for great people to join our team as we move forward towards a very bright future.

You can learn more about InComm Payments by visiting our Website or connecting with us on LinkedIn, YouTube, Twitter, Facebook, or Instagram.


About This Opportunity

Our Network Reliability Engineering team is looking for a team-focused Senior Network Engineer to join our group! This is an exciting opportunity to join a dynamic organization that partners with major retail and brand partners in the payment/fintech space. This is a remote US-based position, with a preference to Atlanta, Tampa/St. Pete, and Salt Lake City, but other locations will be considered for the right candidate.


Responsibilities
  • Design, implement, and support complex, multi-data center and cloud-based network environments, including Equinix facilities and Azure.
  • Create and maintain accurate, detailed network documentation, including topology diagrams, configurations, standards, and operational procedures.
  • Contribute to network architecture, design reviews, and technical decision-making for routing, switching, and data center initiatives.
  • Engineer and support advanced routing and switching solutions using OSPF, BGP, and modern data center technologies such as Cisco vPC and VXLAN EVPN.
  • Support network lifecycle management (LCM) initiatives, including hardware refreshes, IOS upgrades, and technology standardization efforts.
  • Participate in the evaluation and adoption of future-state technologies, including Cisco ACI and enhanced network visibility platforms.
  • Perform advanced troubleshooting and root-cause analysis using tools such as SolarWinds, Kentik, and NetScout.
  • Act as a key technical resource for complex incidents, migrations, and planned changes, collaborating closely with peers and adjacent infrastructure teams.
  • Support load balancer platforms and migrations, including F5 Big-IP and AVI Networks.
  • Work with the Network Security Team during planning, troubleshooting, and migration activities involving Palo Alto and Cisco ASA platforms.
  • Interface with vendors, partners, and service providers to support design validation, issue resolution, and service delivery.
  • Participate in maintenance windows, upgrades, and on-call rotations as required.

Qualifications
  • Bachelor’s Degree in Computer Science, related field, or equivalent experience; typically 7+ years of experience in network engineering or related roles.
  • Strong hands-on experience supporting enterprise and data center networks in multi-data center and hybrid cloud environments.
  • Advanced experience with Cisco-based network infrastructures, including routing, switching, vPC, and VXLAN EVPN.
  • In-depth, practical experience with BGP and OSPF, including design, optimization, and troubleshooting.
  • Experience with network monitoring and analytics platforms, including SolarWinds and emerging tools such as Kentik.
  • Strong TCP/IP and packet-level troubleshooting skills, including use of NetScout or similar tools.
  • Proven ability to work independently on complex technical tasks and projects, while collaborating effectively with peers.
  • Strong documentation skills and attention to detail.
  • Ability to manage multiple concurrent initiatives with varying priorities in an enterprise environment.
  • Working knowledge of Firewalls, particularly in troubleshooting, design coordination, and migration planning activities.
  • Hands-on experience with load balancing technologies, including F5 Big-IP and AVI Networks, a plus.
  • Experience supporting Cloud networking (i.e. Azure, AWS) in hybrid environments a plus.
  • Experience with BlueCat DHCP/DNS a plus.

InComm Payments provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin, citizenship, veteran’s status, age, disability status, genetics or any other category protected by federal, state, or local law.

 

*This position is eligible for the Employee Referral Bonus Program Tier III

#LI-SO1 #LI-Remote

Qualifications:
  • Bachelor’s Degree in Computer Science, related field, or equivalent experience; typically 7+ years of experience in network engineering or related roles.
  • Strong hands-on experience supporting enterprise and data center networks in multi-data center and hybrid cloud environments.
  • Advanced experience with Cisco-based network infrastructures, including routing, switching, vPC, and VXLAN EVPN.
  • In-depth, practical experience with BGP and OSPF, including design, optimization, and troubleshooting.
  • Experience with network monitoring and analytics platforms, including SolarWinds and emerging tools such as Kentik.
  • Strong TCP/IP and packet-level troubleshooting skills, including use of NetScout or similar tools.
  • Proven ability to work independently on complex technical tasks and projects, while collaborating effectively with peers.
  • Strong documentation skills and attention to detail.
  • Ability to manage multiple concurrent initiatives with varying priorities in an enterprise environment.
  • Working knowledge of Firewalls, particularly in troubleshooting, design coordination, and migration planning activities.
  • Hands-on experience with load balancing technologies, including F5 Big-IP and AVI Networks, a plus.
  • Experience supporting Cloud networking (i.e. Azure, AWS) in hybrid environments a plus.
  • Experience with BlueCat DHCP/DNS a plus.

InComm Payments provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin, citizenship, veteran’s status, age, disability status, genetics or any other category protected by federal, state, or local law.

 

*This position is eligible for the Employee Referral Bonus Program Tier III

#LI-SO1 #LI-Remote

Education:UNAVAILABLEEmployment Type: FULL_TIME