Associate Engineer

Campus Engineerhub Private Limited; Periyapatna; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Wind River seeks a software engineer with 1–3 years of experience to develop edge AI systems and the on-device orchestration platform. You will contribute to OTA updates, lifecycle management, and tested CI/CD for cross-architecture builds.

You will optimize inference on constrained hardware, work with Rust/Python, and collaborate across teams in NA, Europe, and India while using agentic AI tools to improve workflows. The role emphasizes robust debugging and clear communication.

Qualifications

• Degree in CS, ML or related field, or equivalent practical experience.
• 1–3 years of professional software engineering experience.
• Proficiency in Rust or Python; C/C++ exposure is a plus.
• Experience with agentic AI tools in the software development workflow.
• Comfortable on Linux and with Git-based workflows.
• Experience with embedded Linux.
• Systematic debugging instincts; strong written communication in a distributed team.
• Genuine curiosity about the full stack—cloud, edge, and web/backend; networking stacks.

Responsibilities

• Implement and test components of the edge packaging and runtime system.
• Contribute to on-device orchestration and OTA lifecycle management for fielded devices.
• Measure and optimize inference and resource usage on constrained hardware.
• Work on cross-compilation and CI/CD pipelines for reproducible, secure multi-architecture builds.
• Integrate the device fleet with the cloud control plane and backend services (REST/gRPC, OpenAPI, MQTT).
• Reproduce, diagnose, and fix defects on real hardware and turn learnings into tests.
• Use agentic AI coding tools daily for implementation, refactoring, review, and debugging.
• Participate in AI‑assisted engineering practices and keep codebase/docs up to date.

Skills

Rust

Python

Git

Linux

Embedded Linux

CI/CD

Education

Bachelor's degree in CS/ML or related field

Tools

PyTorch

ONNX

TensorRT

TFLite

OpenVINO

Jetson

Job description

Job Description

About Wind RiverWind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability.

What You'll Do

• Implement and test components of the edge packaging and runtime system — a containerless / OCI-based approach to shipping AI Systems to heterogeneous devices
• Contribute to the on-device orchestration platform and help support OTA update and lifecycle management for fielded devices
• Measure and improve inference and resource usage on constrained CPU/GPU/NPU hardware
• Work on cross-compilation and CI/CD pipelines for reproducible, secure multi-architecture builds
• Help integrate the device fleet with the cloud control plane and backend services (REST/gRPC, OpenAPI, MQTT)
• Reproduce, diagnose, and fix defects on real hardware, and turn what you learn into tests
• Use agentic AI coding tools daily for implementation, refactoring, review, and debugging — and build real judgment about where they help and where they don't
• Take part in the team's AI‑assisted engineering practice: working patterns, guardrails, and what stays human-owned.
• Keep the codebase and its documentation in a state that people can work in effectively.

Mandatory Experience

• Degree in Computer Science, Machine Learning, or a related field (or equivalent practical experience), and 1 to 3 years of professional software engineering experience.
• Working proficiency in Rust or Python, and willingness to learn the other (C/C++ exposure is a plus)
• Hands‑on experience using agentic AI tools in the software development workflow — AI coding assistants and agents for implementation, refactoring, and review — and an emerging point of view on their limits.
• Comfortable on Linux and with Git‑based workflows
• Experience with embedded Linux
• Systematic debugging instincts: you narrow problems down rather than guess
• Clear written communication and the ability to work with a team distributed across the NA, Europe, and India
• Genuine curiosity about the full stack — cloud, edge, and web/backend — and about how the networking stack works.

Nice to have

• Exposure to embedded Linux or systems programming
• ML frameworks or inference runtimes (PyTorch, ONNX, TensorRT, TFLite, OpenVINO) and the realities of running models on device
• NPU/GPU hardware such as Jetson, Qualcomm, Hailo, or Ambarella
• GenAI/LLM tooling or RAG pipelines; multi‑arch builds; a major cloud provider (AWS, GCP, Azure); GitLab CI.