Sr Software Engineer Navigation

As a Sr Software Engineer Navigation on the Future Forward team, you will bridge digital interfaces and machine learning to extend Intuitive's robotic product lines. Working at the intersection of embedded UI, computer vision, and robotic kinematics, you will design and optimize the C++ runtime systems that connect live sensor and robot data to CV/ML inference.

This role spans the entire development cycle-from prototyping approximate requirements to delivering high-quality production code on resource-constrained hardware. The ideal candidate combines strong systems-level C++ skills with a working knowledge of geometric computer vision and robotics, learns quickly, and thrives in a collaborative, multi-disciplinary environment.

- Design and implement high-performance C++ data pipelines (shared-memory ring buffers, lock-free queues, time-synchronized capture) that feed live video, kinematics, and sensor streams into CV/ML algorithms on embedded platforms

- Develop and optimize registration and calibration algorithms, including point-cloud alignment, hand-eye calibration, and forward kinematics-based coordinate frame transformations to enable accurate surgical navigation

- Collaborate with ML engineers to integrate inference models (depth estimation, 3D reconstruction) into the real-time navigation stack, ensuring accuracy and latency budgets are met

- Partner with UI/graphics engineers to create navigation overlays, 3D visualizations, and augmented guidance within the embedded Qt/QML interface

- Build and maintain effective working relationships across software engineering, clinical engineering, design, human factors, and regulatory teams

- Own the medical device software lifecycle end-to-end for navigation components, including requirement definition, risk assessment, prototyping, development, verification, and release

- Bachelor's degree in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field

- Minimum of 8 years of industry experience; or Master's degree and 6 years of experience; or a PhD and 3 years of experience, with a proven track record of shipping production-quality C++ software to products

- Strong working knowledge of C++ (11/14/17+) including system-level programming, memory management, multi-threading, and performance optimization for real-time applications

- Experience designing or optimizing low-latency data pipelines (circular buffers, shared memory IPC, producer/consumer synchronization) on Linux

- Working knowledge of geometric computer vision fundamentals (camera calibration, registration, multi-view geometry, coordinate-frame transformations)

- Familiarity with ML inference frameworks (TensorRT, ONNX Runtime) and GPU-accelerated computing (CUDA)

- Experience with robotic kinematics, forward/inverse kinematics solvers, or SLAM

- Experience with 3D graphics frameworks (Qt3D, OpenGL, Vulkan, etc.) - Exposure to medical imaging modalities (endoscopic video, ultrasound, CT) or similar sensor data

- Experience working in a regulated software environment (medical device, aerospace, automotive, etc.)

- Experience working with software development methodologies (Agile, IEC 62304, etc.)

We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.

Required Skills and Experience

• Bachelor’s degree in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field

• Minimum of 8 years of industry experience; or Master’s degree and 6 years of experience; or a PhD and 3 years of experience, with a proven track record of shipping production-quality C++ software to products

• Strong working knowledge of C++ (11/14/17+) including system-level programming, memory management, multi-threading, and performance optimization for real-time applications

• Experience designing or optimizing low-latency data pipelines (circular buffers, shared memory IPC, producer/consumer synchronization) on Linux

• Working knowledge of geometric computer vision fundamentals (camera calibration, registration, multi-view geometry, coordinate-frame transformations)

• Familiarity with ML inference frameworks (TensorRT, ONNX Runtime) and GPU-accelerated computing (CUDA)

• Experience with robotic kinematics, forward/inverse kinematics solvers, or SLAM

• Experience with 3D graphics frameworks (Qt3D, OpenGL, Vulkan, etc.)
• Exposure to medical imaging modalities (endoscopic video, ultrasound, CT) or similar sensor data

• Experience working in a regulated software environment (medical device, aerospace, automotive, etc.)

• Experience working with software development methodologies (Agile, IEC 62304, etc.) Primary Function of Position:

As a Sr Software Engineer Navigation on the Future Forward team, you will bridge digital interfaces and machine learning to extend Intuitive’s robotic product lines. Working at the intersection of embedded UI, computer vision, and robotic kinematics, you will design and optimize the C++ runtime systems that connect live sensor and robot data to CV/ML inference.

This role spans the entire development cycle—from prototyping approximate requirements to delivering high-quality production code on resource-constrained hardware. The ideal candidate combines strong systems-level C++ skills with a working knowledge of geometric computer vision and robotics, learns quickly, and thrives in a collaborative, multi-disciplinary environment.

• Design and implement high-performance C++ data pipelines (shared-memory ring buffers, lock-free queues, time-synchronized capture) that feed live video, kinematics, and sensor streams into CV/ML algorithms on embedded platforms

• Develop and optimize registration and calibration algorithms, including point-cloud alignment, hand-eye calibration, and forward kinematics-based coordinate frame transformations to enable accurate surgical navigation

• Collaborate with ML engineers to integrate inference models (depth estimation, 3D reconstruction) into the real-time navigation stack, ensuring accuracy and latency budgets are met

• Partner with UI/graphics engineers to create navigation overlays, 3D visualizations, and augmented guidance within the embedded Qt/QML interface

• Build and maintain effective working relationships across software engineering, clinical engineering, design, human factors, and regulatory teams

• Own the medical device software lifecycle end-to-end for navigation components, including requirement definition, risk assessment, prototyping, development, verification, and release