Staff Engineer Jobs in Nevada
Staff Engineer jobs in Nevada concentrate heavily in defense and aerospace systems, data center infrastructure, and semiconductor manufacturing, with demand strongest at the senior individual-contributor and technical-lead level. Las Vegas, Reno, and Henderson are the primary hiring metros, home to established employers like Switch, Raytheon, and Barrick Gold that consistently need staff engineers with deep systems, electrical, or software expertise. The most in-demand specializations are systems engineering, hardware design, and distributed infrastructure. Find a role that fits below and apply directly.
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Showing 5 of 15+ Staff Engineer jobs
About TensorWave
Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
About the Role
We’re seeking a Staff Network Engineer (L6/L7) focused on designing, scaling, and optimizing large-scale RoCEv2 data center networks powering next-generation AI and ML infrastructure.
You’ll work closely with network architects and infrastructure leadership to execute network designs and ensure operational stability as we scale cluster sizes to over 100,000 GPUs. You will drive multi-team technical direction, influence cross-functional outcomes, and own critical components of network performance and reliability. You’ll remain hands-on with high-speed optics, switching, routing, and congestion management in production clusters, while developing the standards and automation tooling that other engineers build and operate against.
What You’ll Do
Set multi-team technical direction and influence cross-functional network architecture decisions to ensure seamless infrastructure scaling.
Design, deploy, and optimize large-scale RoCEv2 data center networks supporting AI and ML clusters from thousands to 100,000+ GPUs.
Implement and tune congestion management protocols across RDMA fabrics, including PFC, ECN, and DCQCN, based on real production telemetry.
Build and standardize automation, validation, and observability patterns that prevent misconfiguration and reduce manual operational overhead.
Serve as a senior technical escalation point for complex network failures and actively mentor mid-level engineers in advanced troubleshooting and design.
Who You Are
Required Qualifications
Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
Extensive experience deploying and operating RDMA and RoCEv2 networks in large-scale production environments supporting AI or HPC workloads.
Advanced knowledge of switching hardware and NOS, such as Arista, Juniper, and custom solutions using SONiC, including high-speed Ethernet fabrics.
Proven hands-on experience with congestion management and performance tuning using PFC, ECN, and DCQCN.
Strong experience with high-speed optics and cabling including 400G, 800G, AEC, AOC, DAC, and structured cabling at scale.
Strong automation mindset, with experience using Python, Ansible, Terraform, Git, and production observability tooling.
Demonstrated ability to autonomously solve complex, novel problems and translate broad architectural goals into executable project plans.
What We Offer
Stock Options
100% paid Medical, Dental, and Vision insurance for Employees
Company Health Savings Account Contributions
100% paid Short Term and Long Term Disability Insurance for Employees
Life and Voluntary Supplemental Insurance Options
Other Insurance Options, such as Pet & Legal Insurance
Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
Flexible Spending Account
401(k)
Employee Assistance Program
Flexible PTO
Paid Holidays
Parental Leave
Other In-Office Perks
Equal Employment Opportunity
TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.
Reasonable Accommodations
TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.
Employment Eligibility
All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.
Background Checks
Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.
Data Privacy Notice
By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.
About TensorWave
Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
About the Role
We’re seeking a Staff Network Engineer (L6/L7) focused on designing, scaling, and optimizing large-scale RoCEv2 data center networks powering next-generation AI and ML infrastructure.
You’ll work closely with network architects and infrastructure leadership to execute network designs and ensure operational stability as we scale cluster sizes to over 100,000 GPUs. You will drive multi-team technical direction, influence cross-functional outcomes, and own critical components of network performance and reliability. You’ll remain hands-on with high-speed optics, switching, routing, and congestion management in production clusters, while developing the standards and automation tooling that other engineers build and operate against.
What You’ll Do
Set multi-team technical direction and influence cross-functional network architecture decisions to ensure seamless infrastructure scaling.
Design, deploy, and optimize large-scale RoCEv2 data center networks supporting AI and ML clusters from thousands to 100,000+ GPUs.
Implement and tune congestion management protocols across RDMA fabrics, including PFC, ECN, and DCQCN, based on real production telemetry.
Build and standardize automation, validation, and observability patterns that prevent misconfiguration and reduce manual operational overhead.
Serve as a senior technical escalation point for complex network failures and actively mentor mid-level engineers in advanced troubleshooting and design.
Who You Are
Required Qualifications
Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
Extensive experience deploying and operating RDMA and RoCEv2 networks in large-scale production environments supporting AI or HPC workloads.
Advanced knowledge of switching hardware and NOS, such as Arista, Juniper, and custom solutions using SONiC, including high-speed Ethernet fabrics.
Proven hands-on experience with congestion management and performance tuning using PFC, ECN, and DCQCN.
Strong experience with high-speed optics and cabling including 400G, 800G, AEC, AOC, DAC, and structured cabling at scale.
Strong automation mindset, with experience using Python, Ansible, Terraform, Git, and production observability tooling.
Demonstrated ability to autonomously solve complex, novel problems and translate broad architectural goals into executable project plans.
What We Offer
Stock Options
100% paid Medical, Dental, and Vision insurance for Employees
Company Health Savings Account Contributions
100% paid Short Term and Long Term Disability Insurance for Employees
Life and Voluntary Supplemental Insurance Options
Other Insurance Options, such as Pet & Legal Insurance
Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
Flexible Spending Account
401(k)
Employee Assistance Program
Flexible PTO
Paid Holidays
Parental Leave
Other In-Office Perks
Equal Employment Opportunity
TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.
Reasonable Accommodations
TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.
Employment Eligibility
All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.
Background Checks
Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.
Data Privacy Notice
By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.
See All 15 Staff Engineer Jobs in Nevada
Find roles in Nevada that match your experience and apply in just a few clicks.
Find Staff Engineer JobsStaff Engineer Jobs by City in Nevada
Where Nevada roles are concentrated, by current openings.
Staff Engineer Job Market in Nevada
A snapshot from current Nevada openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
What Nevada Employers Look For
The qualifications that appear most often in staff engineer jobs across Nevada.
- Bachelor's or master's degree in engineering or a closely related technical discipline required
- Seven or more years of progressive engineering experience with demonstrated technical leadership
- Proven ability to define and drive engineering standards across large, cross-functional teams
- Deep expertise in at least one domain such as systems, hardware, software, or infrastructure engineering
- Experience mentoring senior engineers and influencing architecture decisions without direct authority
- Strong written and verbal communication skills for presenting technical decisions to non-engineering stakeholders
Staff Engineer Jobs in Nevada: Frequently Asked Questions
How do you become a staff engineer in Nevada?
Becoming a staff engineer in Nevada typically requires a bachelor's degree in engineering or computer science followed by several years of progressive experience reaching senior-level scope. For civil or structural roles, Nevada requires licensure through the Nevada State Board of Professional Engineers and Land Surveyors. Software and systems staff engineers advance through demonstrated technical leadership rather than state licensing, with Nevada employers in defense and data infrastructure strongly favoring candidates who have shaped architecture decisions at scale.
Which companies hire staff engineers in Nevada?
Companies currently hiring staff engineers in Nevada include State of Nevada, Tesla, and CVS Health, per current listings on Migrate Mate as of November 2026. Nevada's concentration of large-scale data centers, defense contractors, and mining operations means consistent long-term demand across multiple engineering disciplines.
Which Nevada cities have the most staff engineer jobs?
Carson City, Sparks, and Elko lead Nevada for staff engineer openings. Las Vegas drives volume through its dense cluster of hyperscale data centers and defense suppliers, Reno draws on a growing tech and advanced manufacturing base anchored by large warehouse and semiconductor operations nearby, and Henderson hosts corporate headquarters and engineering offices for several utilities and systems firms serving the greater Las Vegas metro.
Are there remote staff engineer jobs in Nevada?
Yes, and more than most fields. About 75% of staff engineer openings tied to Nevada are remote or hybrid as of November 2026, reflecting the discipline's strong foothold in software systems and cloud infrastructure work. Roles focused on distributed systems design, platform architecture, and backend engineering are the most likely to be fully remote, while hardware, civil, and on-site infrastructure positions require in-person presence.
How can I get hired as a staff engineer in Nevada with little or no experience?
The most realistic entry path is landing a junior or associate engineer role at one of Nevada's large defense, utility, or data center employers and building toward staff-level scope over time. Switch, NV Energy, and defense contractors operating near Las Vegas and Reno regularly hire early-career engineers and offer structured mentorship. Moving from a senior software or systems engineer title at a smaller Nevada employer, or completing a relevant internship through the University of Nevada system, are the lateral moves that most often open the door to staff-track positions.
Where can I find and apply to staff engineer jobs in Nevada?
You can find and apply to staff engineer jobs in Nevada on Migrate Mate, which lists current Nevada openings across industries including defense, data infrastructure, and manufacturing. Find the roles that fit your background and apply directly.
See All 15 Staff Engineer Jobs in Nevada
Find roles in Nevada that match your experience and apply in just a few clicks.
Find Staff Engineer Jobs