Sunday (sunday.ai) Logo

Sunday (sunday.ai)

Systems Software Engineer

Reposted 3 Days Ago
Be an Early Applicant
In-Office
Redwood City, CA, USA
Senior level
In-Office
Redwood City, CA, USA
Senior level
As a Software Engineer, you will develop core software systems for home robots, focusing on performance, reliability, and diagnostics tools.
The summary above was generated by AI

Join Us in Building the Future of Home Robotics

At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time.

We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we’d love to hear from you.

What to Expect

The ML & Robotics Infra team builds the foundational systems that every part of our robot perception, ML, controls and behavior runs on, and the developer infrastructure that lets us build, ship, and update that software quickly and safely on every robot in the fleet.

As a System Software Engineer, you’ll focus on the runtime itself which encompasses the IPC layer, performance, scheduling, observability, logging and replay infrastructure that the rest of the robot software depends on. You’ll work alongside teammates who own the GPU and accelerated compute layer and our build and delivery infrastructure, and you’ll partner cross-functionally with Software, ML, Controls, and Hardware teams to ensure the runtime meets the latency, throughput, and reliability bar required for a real-time robotic system operating in the home.

What You’ll Do

You’ll own and contribute to core areas of the runtime, including:

  • IPC: Build the messaging substrate for high-throughput sensor data, messaging and low-latency event flow between processes

  • Data logging & dynamic trigger infrastructure: Develop a high-throughput logging system and (in the future) trigger-based capture for targeted debugging in the field

  • CPU performance tuning & code optimization: Profile, identify bottlenecks, and drive down latency across the stack

  • Scheduling and monitoring: Design how work gets dispatched, prioritized, and monitored on the robot

  • Observability & tracing: Build tracing, profiling, and runtime introspection so engineers across the company can understand what the robot is doing and why

  • Offline replay: Enable faithful replay of recorded runs for debugging, regression testing, and ML iteration

What you’ll bring

  • 2+ years of experience developing systems software for high-performance, low-latency, or pseudo-realtime environments (robotics, autonomous vehicles, HFT, or similar)

  • Strong proficiency in a systems language such as C++, C, or Rust

  • Deep Linux expertise: scheduling, IPC, kernel tuning, memory management, and performance tuning

  • Hands-on experience with CPU performance optimization

  • Strong systems debugging skills with tools like perf, ftrace, eBPF, and similar tracing infrastructure

Nice to have

  • Experience writing systems software for AV, Robotics or other physical systems

  • Experience building observability or tracing infrastructure for distributed or multi-process systems

  • Experience designing or building high-throughput logging systems and exposure deterministic replay systems

  • Experience with build systems and OTA updates

At Sunday Robotics, we’re building technology shaped by real people — curious, creative, and diverse. We’re proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Even if you don’t meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria — we don’t want that to be the reason we miss out on great talent.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account