Pre-screened and vetted.
Intern Full-Stack Software Engineer specializing in test analytics platforms
“Software engineer intern at Nutanix who independently shipped and maintained an internal smoke-test/failure-analysis dashboard, integrating failure data from multiple upstream systems (e.g., Jira, Jenkins, CircleCI) via REST APIs. Also has prior data-science experience building Postgres-based asset management analytics with automated reporting and indexing for faster time-series retrieval.”
Intern Software Engineer specializing in robotics, perception, and machine learning
“Robotics software intern (Summer 2025) at Ola Krutrim working on 2W/4W ADAS: integrated an ASM330LHH IMU over I2C, performed camera-LiDAR intrinsic/extrinsic calibration, built an interactive calibration GUI, and optimized a camera-LiDAR fusion pipeline (cut latency from ~500ms to ~200ms) including CUDA parallelization and Kalman filter-based lane tracking. Strong ROS 2 background with URDF/Gazebo simulation and custom ROS2 Arduino bridge work for hardware control.”
Junior Software Engineer specializing in cybersecurity and cloud-native AI
“Backend-focused full-stack engineer who built an MVP at Neon AI for PhD students: a FastAPI backend integrating multiple cloud and local LLMs plus a RAG pipeline with session/identity management, designed to be modular and extensible across domains. Also has VMware experience debugging production issues and executing safe, API-compatible refactors with staged rollouts and strong security controls.”
Intern Embedded Software Engineer specializing in autonomous driving and applied computer vision
“Autonomous driving engineer from iFLYTEK who shipped 5+ middleware modules for vehicles across three models, with deep experience in reliability, IPC performance, and real-world system hardening. Stands out for translating flaky production behavior into measurable signals—resolving 30+ faults, cutting backlog 39%, improving latency 20%, and supporting 500+ hours of road testing with 99%+ reliability.”
Senior AI/ML Engineer specializing in Generative AI, LLMs, and production ML systems
“ML/AI engineer with hands-on ownership of both classical ML and GenAI systems in production. They built an end-to-end churn prediction service on AWS and also shipped RAG-based document search/summarization features, with clear experience in monitoring, hallucination reduction, cost/latency optimization, and creating shared Python/LLM infrastructure used across teams.”
Mid-Level Software Engineer specializing in ML platforms and full-stack systems
Senior Simulation Engineer specializing in robotics and physics-based real-time simulation
Intern Deep Learning Engineer specializing in LLM agents and on-device multimodal inference
Mid-level Machine Learning Engineer specializing in computer vision and LLM systems
Mid-level Software Engineer specializing in AI backend, distributed systems, and GPU inference
Junior Software Engineer specializing in AI platforms and backend systems
Mid-Level Software Developer specializing in AI backend systems and distributed computing
Junior Software/Data Science Researcher specializing in AI, distributed systems, and GPU optimization
Intern Software Engineer specializing in graphics, media pipelines, and ML-driven 3D visualization
Mid-level Robotics Engineer specializing in autonomous aerial systems and perception
Intern Software Engineer specializing in AI, distributed systems, and industrial automation
Senior Software Engineer specializing in AWS data platforms, search, and ML matching
Junior Machine Learning Engineer specializing in computer vision, LLMs, and geospatial AI
Senior Robotics Software Engineer specializing in manipulation, perception, and multi-sensor fusion
Senior Data Scientist specializing in LLMs, Agentic AI, and MLOps