
Graduate Engineering Trainee
3 days ago
• Computer Vision
• Embedded SystemsLocation: HSR Layout, Bengaluru (on‑site; occasional field/device data collection)Employment Type: Full‑time trainee (6 months program)Experience: 0-1 year | Qualification: B.
E/B.
Tech (CS/IS/AI) with strong programming fundamentalsCompensation:During the 6-month GET term, you'll receive a stipend up to ₹25,000/month (role fit & performance based).On successful completion and confirmation, the role converts to ₹7,50,000 CTC per annum.Unlimited coffee and conversation with Founders is on the houseAbout MankombMankomb Technologies builds AI‑native appliances for sustainable urban living.
Role SummaryAs a GET (Embedded AI), you'll help take models from dataset → experiment → deployment on Mankomb hardware with tight latency/memory/power budgets.
Own the end‑to‑end applied‑AI cycle: collect data, design experiments, write training/inference code, and optimize models to run on‑device (ARM/Linux/RTOS).
You'll work hands‑on with sensors, test rigs, and production firmware to make models reliable in real kitchens and field conditions.What you will do1) Data Ops & InstrumentationPlan and execute data collection on devices (vision/sensors), including checklists, labelling, sampling plans, and consent.Build labeling pipelines (e.g., CVAT/Label Studio) and ensure dataset hygiene (splits, versioning, metadata).Implement simple data quality gates (blur/occlusion checks, class balance) and maintain a data catalog.2) Experimentation & MetricsWrite reproducible experiments (config‑driven) with versioned runs; track metrics (precision/recall/F1, m AP, ROC‑AUC) and confusion matrices.Perform hyperparameter search, ablations, and error analysis; summarize results in weekly experiment notes.3) Model DevelopmentImplement and train models in Python (Py Torch/Tensor Flow) with clean module structure, typing, and tests.Apply compression: quantization‑aware training, pruning, distillation.
Export to ONNX/TFLite as needed.4) Deployment on Mankomb HardwareConvert/optimize models for edge: TFLite/TFLite‑Micro/ONNX‑Runtime; leverage NEON, CMSIS‑NN, or vendor NPUs where applicable.Write/optimize C/C++ inference code, circular buffers, and low‑latency I/O.
Profile latency, RAM/Flash, FPS, power, and thermal behavior.Integrate with firmware/OS (Linux/RTOS/Free RTOS), cross‑compile toolchains, and CMake builds.5) Embedded & Systems IntegrationImplement sensor drivers (I²C/SPI/UART), basic image signal pipeline tweaks, and real‑time scheduling.Collaborate with mech/EE teams on fixtures, lighting, shielding, and EMI/EMC‑aware data capture.6) Quality, Safety & DocumentationFollow coding standards, unit/integration tests, and static analysis.
Maintain runbooks, SOPs, and release notes.Contribute to CI pipelines for builds, tests, and artifact packaging.Must‑haveStrong in C/C++ and embedded concepts (memory management, interrupts, DMA, RTOS basics).Proficient in Python for data/ML (Num Py/Pandas, Py Torch or Tensor Flow, Open CV).Comfortable with Linux, cross‑compilers, CMake, Git; basic shell scripting.Understanding of model deployment constraints (INT8 quantization, fixed‑point math, on‑device profiling).Clear fundamentals in DSA, OOP, numerics, and signals.Good‑to‑haveARM Cortex‑A/M experience; NEON SIMD, CMSIS‑NN; vendor stacks (e.g., NPU/DSP SDKs).ONNX, TFLite‑Micro, Open CL/CUDA (where applicable), or Arm Compute Library.Basic MLOps habits: experiment tracking (e.g., W&B), DVC, artifact registries.Exposure to computer vision (lighting, lenses, FOV), data augmentation, and synthetic data.Program structure (6 months)Work across Data/ML, Embedded/Inference, Validation/Release.Mentorship: Buddy + monthly technical reviewsConversion: High performers may receive a full‑time offer.Working model & benefitsOn‑site role at HSR Layout with device labs; occasional field data collection.Tools, dev kits, and mentoring provided; steep learning curve in real‑world edge AI.
Compensation:Upto INR 25,000 per month during term as GETINR 7,50,000 p.a.
CTC subject to confirmation at the end of 6 month termUnlimited coffee and conversationsHow to applyApply on (Apply button) and email careers@mankomb.com with subject: "GET‑AI: Your Name" and include:Resume (PDF)Links to code/repos or experiment reportsA short note (3–5 lines) on an embedded/AI project you built, and the latency/accuracy trade‑offs you solved.Equal Opportunity: We value diversity and are an equal‑opportunity employer.
If you love building AI that actually ships on hardware, we'd love to talk.
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