below marketmost similar roles pay hereabove market
This role pays less than
98%
of similar roles. Most pay
$177,450–$249,000
— the blue band above.
At the midpoint, this role pays about
$127k
versus about
$213k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
694 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 651 roles with salary data.
Member of Technical Staff, Microsoft Robotics (Platform) joins the Microsoft Robotics team within the Discovery and Quantum division to build a platform for physical intelligence. This role involves designing, developing, and testing core infrastructure components, including Software Development Kits, cloud services, edge runtimes, and agent orchestration layers. You will implement features for robotics SDKs, cloud-hosted APIs, and data infrastructure for the robotics lifecycle, including instrumentation libraries and dataset curation pipelines. Key responsibilities include improving developer experience through CLI features and documentation while ensuring security, compatibility, and performance for real-time robotic control loops. Required skills include proficiency in languages like C, C++, C#, Java, JavaScript, or Python. You will work with technologies such as GitHub Copilot, ROS/ROS2, and ML infrastructure like ONNX or Triton to enable autonomous mission workflows.
Implement and test features for robotics SDKs, cloud APIs, edge runtimes, and agent orchestration frameworks.
Integrate and deploy first-party autonomy capabilities, third-party models, and partner hardware across cloud and edge environments.
Develop data infrastructure components including instrumentation libraries, data acquisition services, and dataset curation pipelines.
Apply security, compatibility, and performance standards to ensure low-latency operation for real-time robotic control loops.
Improve developer experience by contributing CLI features, SDK functionality, documentation, and sample code.
Utilize AI-assisted development tools and agentic coding workflows to automate repetitive tasks and improve software quality.
Build platform primitives for compute orchestration, data routing, model serving, and experiment tracking.
Participate in technical design reviews and contribute to design documentation for assigned features.
What we're looking for
Bachelor's Degree in Computer Science or related technical discipline with proven coding experience in languages like C, C++, C#, Java, JavaScript, or Python.
Equivalent professional experience to a Bachelor's Degree in a technical field.
Ability to pass Microsoft Cloud Background Check and other government security screenings.
Master's Degree in Computer Science or related technical field with proven coding experience in languages like C, C++, C#, Java, JavaScript, or Python (preferred).
Bachelor's Degree in Computer Science or related technical field and 2+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python (preferred).
Experience contributing to software projects involving developer tools, SDKs, APIs, or distributed systems (preferred).
Experience coding in C++, Rust, Go, or Python with an interest in systems-level components, tooling, data pipelines, or ML integration (preferred).
Experience using AI-assisted development tools like GitHub Copilot and agentic coding workflows (preferred).
Python
C++
Rust
Go
C#
Java
JavaScript
C
Kubernetes
Azure
ROS
ROS2
ONNX
TensorRT
Triton
CI/CD
API Gateway
Service Mesh
Edge Computing
Distributed Systems
Model Serving
C++
Python
ROS 2
Linux
Arm
Embedded Systems
Real-time Systems
IPC
Simulation
Hardware-in-the-Loop
Software-in-the-Loop
Heterogeneous Computing
SDKs
APIs
Python
C++
Robot Learning
Reinforcement Learning
Embodied AI
SLAM
Sensor Fusion
MPC
Trajectory Optimization
Foundation Models
Formal Methods
Mechatronics
Distributed Systems
Real-time Systems
CPU
GPU
NPU
MCU