VLAN

Veterans Health Administration

Full-time · San Antonio, TX · $53,382 – $125,270

This is a biomedical equipment technician role supporting a VA hospital's clinical systems and medical devices across their lifecycle, from maintenance and troubleshooting to procurement oversight. It suits someone with training in biomedical technology, electronics, or healthcare technology management who wants hands-on technical work in a healthcare setting with structured career progression from entry to senior levels.

Via USAJOBS · Apply there ↗

NVIDIA

This role involves leading quality assurance for NVIDIA's virtual networking silicon platform, combining network protocol expertise with Python automation to catch ASIC bugs during simulation before physical hardware manufacturing. The position suits experienced networking engineers who enjoy both deep protocol debugging and building maintainable test automation frameworks.

Listed on NVIDIA’s careers site · Apply there ↗

Cigna

Saint Louis, MO

This role supports large-scale logging and monitoring infrastructure for a major health services company, combining Splunk and Cribl administration with cloud infrastructure and networking expertise. It suits senior engineers who excel at designing and troubleshooting complex hybrid deployments and can mentor teams across technical and business challenges.

Listed on Cigna’s careers site · Apply there ↗

Arrow Electronics

Full-time · Campbell, CA

A role certifying time-sensitive networking software for safety-critical avionics systems against DO-178C standards. This suits engineers with embedded networking experience who can evaluate requirements, architecture, and design compliance for aircraft systems.

Listed on Arrow Electronics’s careers site · Apply there ↗

Blue Ridge Communications

Full-time · Lehighton, PA

Blue Ridge Communications seeks a network engineer to design, deploy, and troubleshoot internet, phone, and video solutions using carrier-grade networking and security platforms. This hybrid role suits someone with Cisco expertise and service provider experience who can handle on-call escalations and mentor junior staff.

Listed on Blue Ridge Communications’s careers site · Apply there ↗

Accenture

This role develops low-level embedded networking software for automotive platforms, focusing on real-time C++ code for microcontrollers and Ethernet communication stacks. It suits engineers with strong embedded systems and networking fundamentals who want to work on vehicle software architecture.

Listed on Accenture’s careers site · Apply there ↗

Menlo Ventures Portfolio

Full-time · New York, NY · $320,000 – $405,000

This role manages Anthropic's Bay Area hardware labs, overseeing everything from receiving and racking equipment to setting up bare servers, managing vendor relationships, and building documentation so remote teams can work independently. It suits someone with hands-on datacenter or lab experience who enjoys taking ownership of physical infrastructure and can troubleshoot both the gear itself and the systems that support it.

Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗

Together AI

Full-time · San Francisco, CA · $190,000 – $280,000

Together AI is hiring a Senior Network Engineer to design and operate global network infrastructure for AI compute environments. This role suits someone with deep expertise in large-scale data center networking who can troubleshoot across the full stack from network hardware through applications.

Listed on Together AI’s careers site · Apply there ↗

NVIDIA

Santa Clara, CA · $140,000 – $270,250

NVIDIA is seeking a senior-level QA engineer to develop and execute comprehensive test plans for their Cumulus Linux Ethernet switching systems, focusing on automated testing of Layer 2 and Layer 3 network protocols. This role suits experienced test engineers with strong Python skills and hands-on knowledge of networking protocols and test automation tools.

Listed on NVIDIA’s careers site · Apply there ↗

Together AI

Full-time · San Francisco, CA · $220,000 – $270,000

This role involves designing and building the virtualization and infrastructure layers for Together AI's GPU cloud platform, including hypervisor work, Kubernetes operators, distributed scheduling, and fault-tolerance systems that power high-performance AI compute across global data centers. It suits experienced backend engineers who thrive owning large distributed systems end-to-end and have deep expertise in cloud infrastructure, networking, or GPU compute.

Listed on Together AI’s careers site · Apply there ↗