Robotics Software Engineer
Join Eka Robotics as a Robotics Software Engineer to optimize robotics software and enhance machine learning deployment.
Posted by employer 6 months ago
First seen on Joblaze 54 minutes ago
Last verified on the company career page 54 minutes ago
What you'll build
- Maintain understanding of robotics software stack
- Design logging and monitoring frameworks
- Develop testing suites for robot degradation
- Design experiments for system identification
- Build deployment systems for machine learning models
Must have
- 3+ years of professional experience writing production-quality C++
- Hands-on experience with ROS2 or similar robotic middleware
- Strong understanding of Linux systems
Nice to have
- Experience implementing safety functions
- Strong knowledge of system identification and control theory
- Experience building automated testing pipelines
Requirements
- Experience
- 3+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Robotics Software Engineer focuses on optimizing the robotics software stack, enhancing performance, and ensuring system reliability through diagnostics and testing. Key skills include expertise in C++ and Python, familiarity with ROS2, and experience in deploying machine learning models on robotic platforms. This position is ideal for professionals with a strong technical background in robotics or computer engineering, particularly those with several years of experience in production environments. Eka Robotics is looking to expand its R&D efforts, making this a pivotal role in a team dedicated to advancing robotics technology.
Joblaze insights
Quick facts
- How much experience is required?
- At least 3 years of relevant experience for this Robotics Software Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C++, Linux, ONNX, Python, ROS2, TensorRT.
- What seniority level is this role?
- Eka Robotics targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Robotics Software Engineer role at Eka Robotics.
From the original posting
Responsibilities
Stack Optimization: Maintain a deep understanding of the full robotics software stack; profile and optimize data flows to minimize end-to-end latencies across components.
Observability & Diagnostics: Design and implement logging and monitoring frameworks to facilitate rapid debugging and provide visibility into system dataflows.
Testing & Health Monitoring: Develop testing suites and validation pipelines specifically designed to identify robot degradation and anomalies.
System Identification: Design and execute experiments for system identification to refine simulation models and controller performance.
ML Deployment & Developer Experience: Build streamlined deployment systems for machine learning models, prioritizing intuitive tooling that simplifies prototyping and minimizes friction for research teams.
Production-Level C++/python: Author and maintain high-performance, production-grade C++ codebases adhering to industry best practices, and use Python for tooling, data analysis, and scripting.
Performance & Scalability: Proactively identify bottlenecks in performance and scalability, driving iterative enhancements to the software architecture.
Safety Integration: Design and implement safety functions while ensuring their compatibility with machine learning models.
Minimum Qualifications
Education: BS, MS or higher in Computer Science, Robotics, Computer Engineering, or a related technical field.
C++ Expertise: 3+ years of professional experience writing production-quality C++, with a focus on memory management, multi-threading, and real-time constraints.
Robotics Frameworks: Hands-on experience with ROS2 or similar robotic middleware, including custom message generation and lifecycle management.
Systems Engineering: Strong understanding of Linux systems, including profiling tools to identify and resolve latency bottlenecks.
ML Deployment: Experience deploying and optimizing machine learning models (TensorRT, ONNX) onto edge devices or robotic platforms.
Preferred Qualifications
Safety Critical Systems: Experience implementing safety functions or working with functional safety standards.
Math & Physics: Strong foundational knowledge of system identification, control theory, and rigid body dynamics.
Infrastructure & DevOps: Experience building automated testing pipelines, CI/CD for hardware, and custom logging/telemetry/visualization stacks.
Simulation: Proficiency in using simulation environments for system validation and testing.
Standard company text repeated across Eka Robotics's postings is omitted here.
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