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Location
In office (Redwood City)
Seniority
Senior
Visa
H-1B filings in 12 months: 7
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 12, 2026. Dyna Robotics scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Dyna Robotics is a robotics foundation model company headquartered in Redwood City, California, and founded in 2024. The company trains general purpose manipulation models that let a single robot arm learn commercial tasks such as folding, packing, and handling from demonstration rather than explicit programming. It targets repetitive physical work in laundries, restaurants, and light manufacturing, and publishes model progress through its DYNA series of releases.

Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance. Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world. Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors.

As a Senior Network and Systems Engineer, you’ll own the network and systems infrastructure our robots depend on, from Wi-Fi in the lab to the Linux and GPU servers running inference. When a robot loses its connection or an inference server slows down, real work stops. We’re looking for a hands-on engineer who can keep that from happening.

What You Will Do

  • Make robot connectivity reliable. Measure wireless coverage, interference, roaming, and capacity. Separate traffic where needed so data uploads and office activity don't disrupt teleoperation, inference, or demos.

  • Own the systems running inference. Provision and operate Linux and GPU servers, manage configurations and capacity, and isolate critical workloads from development jobs.

  • Find the actual cause of failures. Trace problems from the robot through the network to the server. Use packet captures, logs, and performance measurements to distinguish connectivity issues from resource limits or application behavior.

  • Make reliability measurable. Monitor latency, packet loss, connection drops, and server health. Set useful alerts, lead incident diagnosis, and follow through on fixes that prevent repeat failures.

  • Make the setup repeatable. Automate provisioning and configuration, document recovery procedures, and test changes and rollback. Build standard network setups for demos and deployments, and coordinate power and cooling needs with facilities.

What We Look For

  • You've built and operated networks that people depend on. You have strong experience with enterprise wired and wireless networks and have owned systems from design through daily operation.

  • You know networking deeply. You're comfortable with Wi-Fi and RF troubleshooting, TCP/IP, VLANs, routing, DNS, DHCP, firewalls, and VPNs. You can explain why a connection is slow and prove it with measurements.

  • You understand how to plan and validate site networks. You can assess site requirements, evaluate ISPs, review RF surveys and cabling and access point designs, coordinate with vendors and contractors, and define acceptance tests to verify performance.

  • You can work across the network and the server. You have hands-on Linux administration experience and can diagnose CPU, memory, storage, and container issues. You're comfortable supporting GPU hosts and learning the inference workloads running on them.

  • You write code to make operations better. You use Python or Bash and configuration management to eliminate repetitive work, keep systems consistent, and make recovery predictable.

  • You take ownership. You can prioritize reliability work, make practical tradeoffs, coordinate vendors, and communicate clearly with engineers and operators. You stay with a problem until the fix is in place and verified.

  • You like being close to the hardware. You're comfortable working on-site, installing equipment, testing alongside the team, and seeing your work affect a real robot doing a real job.

Bonus Points For

  • Experience with robotics, autonomous systems, industrial environments, or other applications where latency and connection quality affect physical operations.

  • Experience supporting NVIDIA GPU systems, containerized inference services, or performance monitoring for ML workloads.

Prior robotics experience is welcome, but you don't need to have worked in robotics to do this well. We care about technical depth, good judgment, and the ability to make systems reliable.

AtDyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect.

Don’t let a checklist stop you. Data shows that underrepresented groups often only apply if they meet 100% of the criteria. We value problem-solving and grit over keyword matching. If you’re passionate about robotics, no matter your discipline, we want to hear from you, even if you don't check every box.

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