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About the Role

We are seeking a Software Engineer to optimize data transfer from AI models to actuators. This role involves working closely with hardware, kernel, firmware, controls, and perception layers to develop real-time pipelines with low latency. The objective is to enhance the visibility and determinism of the end-to-end inference pipeline, ensuring the ML model is the primary source of stochasticity. The fast-paced iteration cycle means code shipped will be deployed on physical systems rapidly.

Responsibilities

Ship performance-critical code to real robots daily.
Understand the complete data flow from input (camera frames) to output (control commands and actuator feedback), including the systems involved.
Contribute to the real-time control loop, ensuring deterministic operation alongside vision inference.
Develop components of the perception data path to minimize latency and data loss for high-bandwidth camera streams.
Reduce latency and optimize the system stack for improved speed, determinism, and reliability.
Create tooling and instrumentation for observing and debugging real-time behavior across controls and vision.

Requirements

1+ years of software engineering experience in systems development close to hardware (exceptional new graduates with relevant project or internship experience will be considered).
Proficiency in Rust, C++, or Python, with a strong understanding of operating systems and multithreading.
Demonstrated experience in building systems such as production systems, internal tools, or personal projects.
Experience debugging timing, concurrency, or hardware-related issues.
Comfort with ambiguity and a proactive, hands-on learning approach.
Ability to work on-site in San Francisco 5 days a week, with potential for 6 days during peak periods.

Skills

Rust
C++
Python
Operating Systems
Multithreading
Linux kernel
Embedded systems
Bazel
Nix
HIL testing
CI/CD
Real-time control systems
Motor control
High-rate control loops
Robot controllers
Computer vision pipelines
Camera drivers
Image transport
GPU inference
Sensor synchronization
ftrace
flamegraphs
eBPF
AI tools

Location

San Francisco

Work Type

On-site

Experience Level

1+ years
New Grads considered