Founding Communications Engineer
| 1. | AI Builder Intern - Agentic AI (Mondee) Austin, Texas, United States | on-site | internship | internship | ai, agentic ai, llms | 3w ago |
| 2. | AI Systems Weirdo (UniteGPS) South Portland, ME, United States | on-site | full-time | mid | ai systems design, route optimization, gps tracking | 3w ago |
| 3. | Software Engineering Intern (Maritime Technology Startup (Stealth)) El Segundo, California, United States | $40 – $48/hr | on-site | internship | internship | python, go, javascript | 3w ago |
| 4. | AI-Native Founding Engineer (Jobright.ai) San Francisco, California, United States | $130,000 – $170,000/yr | on-site | full-time | lead | typescript, react, sql | 3w ago |
| 5. | MLE @ Krnel (NYC, Full-Time) (krnel.ai) New York, New York, United States | on-site | full-time | mid | machine learning, devops, ci/cd | 3w ago |
| 6. | AI Builder Intern - Agentic AI (Tabhi) Austin, Texas, United States | on-site | internship | internship | agentic ai, llms, agent frameworks | 3w ago |
| 7. | Forward Deployed Engineer (Legion Intelligence) Washington DC, United States | $185,000 – $260,000/yr | on-site | full-time | mid | python, javascript, typescript | 3w ago |
| 8. | Senior Founding Engineer (Ambral) New York City, New York, United States | $185,000 – $245,000/yr | on-site | full-time | senior | typescript, nuxt, postgres | 3w ago |
| 9. | Full-Stack Engineer- Series B Ai · $200-300K + equity (Benchstack Ai) San Francisco, California, United States+1 | $200,000 – $300,000/yr | on-site | full-time | senior | react, typescript, python | 3w ago |
| 10. | Marketing Productivity Engineer (Sigma Computing) San Francisco, United States+2 | $130,000 – $165,000/yr | on-site | full-time | senior | performance marketing, growth engineering, marketing operations | 3w ago |
We are seeking a Founding Communications Engineer to own the design and delivery of a low-latency, international communications framework that enables remote teleoperators to seamlessly control our robots and collect data in real time. This is a hands-on, high-impact role where you will work closely with our multidisciplinary team to build a truly exceptional, deployment ready, robot.
Location & Working Setup:
You must be willing to relocate to San Francisco by March 30 and work in-person from a shared live/work environment. We call it a hacker house. It’s a focused, high-output environment built around shipping. We can help with visas if you are from the UK or EU.
What you will own:
- Design and ship a global, low-latency communications stack for real-time robot teleoperation (control, video, depth, point clouds, telemetry).
- Select and justify transports/protocols using measured latency, reliability, and operational constraints.
- Implement resilience: congestion control, adaptive bitrate, loss recovery (FEC/retransmit), and regional failover.
- Ensure real-world connectivity: NAT traversal, TURN/STUN, edge/relay topology.
- Define serialization, timing, and synchronization for tight control loops and multi-sensor alignment.
- Instrument and benchmark end-to-end performance (latency, jitter, loss, tail metrics, budgets).
- Own security primitives: authentication, encryption, key management, secure tunnels.
- Debug distributed production failures and deploy fixes with minimal disruption.
- Work tightly with VR, controls, and hardware teams; maintain clear architecture and operational docs.
What we’re looking for:
- Strong focus on building excellent real-time communications systems.
- Proven experience shipping low-latency networking systems (teleop, live video, cloud gaming, or similar).
- Deep understanding of real-time transport (UDP, QUIC, RTP/RTCP, WebRTC, congestion control).
- Strong systems programming skills in C++.
- Hands-on experience with low-latency media pipelines and encoders (GPU/software).
- Experience operating global services and measuring region-to-region performance.
- Solid security fundamentals (TLS/mTLS, auth, key management).
- Experience with observability, load testing, and defining SLIs/SLOs.
- Excellent incident debugging and technical documentation.
Required:
- Portfolio of relevant work and projects (heavily weighted).
Desirable:
- Experience with ROS2 and bridging robot sensor data to external clients.
- Background in real-time systems or low-latency media for VR headsets or edge devices.
- Strong interest in robotics.
We move fast. If you meet the bar and can relocate by March 30, 2026, apply now.