Robotics Software Engineer, Teleoperations Architecture

About The Role

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers-tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

You will be the architectural force behind the systems that teach Digit how to interact with the physical world. As a Staff Robotics Software Engineer on the AI team, you will architect, build, and scale the production-quality software foundation that enables Digit to execute complex, whole-body manipulation tasks in real-world environments. You will work at the critical intersection of AI, controls, hardware, and operations to create a seamless, low-latency platform for human demonstration data collection.

Your software architecture will directly unlock our ability to scale the world's first production humanoid robot fleet and revolutionize the global labor market.

• Architect from the Ground Up:
  Own the end-to-end software architecture of our data collection and teleoperation systems, ensuring highly modular, scalable, and predictable behavior with clear system boundaries.
• Optimize for Performance:
  Build the connective tissue for real-time robot execution by integrating and optimizing real-time control, streaming, and communication paths to meet strict latency and bandwidth targets.
• Design for the Future:
  Anticipate upcoming robot hardware, sensing, and end-effector changes. Design resilient software systems that can seamlessly adapt to new interfaces and capabilities without requiring foundational architectural rewrites.
• Drive Validation & Reliability:
  Develop comprehensive validation strategies across simulation and physical hardware, including performance benchmarks, fault handling, and regression testing.
• Data-Driven Iteration:
  Analyze system telemetry and demonstration data to continuously improve operator efficiency, system responsiveness, and overall task success rates.

• 7+ years of experience in software engineering for robotics, real-time systems, or highly complex hardware-software integrations.
• Exceptional software architecture skills, with a proven ability to design and build scalable, low-latency systems from scratch without foundational missteps.
• Demonstrated track record of operating as a highly autonomous, independent executor capable of delivering reliable, production-quality software.
• Experience designing low-latency communication and streaming systems for real-time applications.
• Strong systems intuition with the ability to trace and debug performance issues across complex software, networking, and hardware boundaries.
• Demonstrated experience in modern C++ or Rust, with a strong track record of building and optimizing low-latency, real-time systems (Python proficiency is a strong plus).
• Excellent communication skills and the ability to partner effectively with internal customers (AI, controls, and hardware teams) to translate requirements into robust software.

• Domain Knowledge:
  Familiarity with whole-body kinematics, motion retargeting, rigid body dynamics, or real-time control systems.
• Human-Machine Interfaces:
  Hands-on experience integrating human input systems such as Virtual Reality (VR), motion capture, wearable devices, or remote control interfaces.
• XR Frameworks:
  Experience building applications with real-time rendering or XR frameworks (e.g., Unity, Unreal, Godot, SteamVR, OpenXR).
• 3D Visualization:
  Experience with advanced 3D visualization techniques such as neural radiance fields, Gaussian splatting, or other scene reconstruction methods.
• Data Pipelines:
  Familiarity with large-scale data collection pipelines for learning from demonstration.

This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on…