---
title: 'Camera Systems Software Engineer - India at Skild AI'
canonical: 'https://feeny.ai/job/camera-systems-software-engineer-india-skild-ai-bengaluru-w4c1d7mvy0p6'
type: 'job'
last_seen: '2026-09-09'
---

# Camera Systems Software Engineer - India at Skild AI

- **Company:** Skild AI
- **Location:** Bengaluru, India
- **Posted:** 2026-06-15
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/skildai-careers/jobs/5263541008

## Job description

Company Overview

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.

Position Overview

We are seeking an experienced Camera Systems Software Engineer to own camera integration and enablement for real-time robotic systems built on NVIDIA Tegra platforms. This person will be responsible for the full camera lifecycle, from defining requirements with external camera partners to integrating, debugging, and maintaining low-latency camera pipelines using the Tegra camera stack.

This is a highly hands-on systems role that sits at the intersection of Linux, camera hardware, real-time software, calibration, synchronization, and high-level software interfaces. The ideal candidate has deep experience bringing up camera sensors, debugging low-level hardware/software issues, working with camera vendors, and building reliable APIs that expose synchronized camera data to perception, robotics, and autonomy systems.

## Responsibilities

- Own camera systems end to end, including vendor requirements, sensor/module selection, hardware bring-up, software integration, debugging, calibration, validation, and long-term maintainability.
- Work directly with camera vendors and hardware partners to define requirements for custom cameras, including sensors, optics, frame rates, exposure behavior, synchronization, timestamping, calibration needs, mechanical constraints, thermal constraints, and image-quality targets.
- Develop and maintain low-level camera software, including sensor configuration, camera drivers, device-tree changes, capture-path validation, timestamp handling, metadata handling, and camera control interfaces.
- Debug camera issues across the hardware/software boundary, including MIPI CSI-2, GMSL or FPD-Link, I2C control, power/reset/clock sequencing, dropped frames, timestamp instability, bandwidth limits, corrupted images, ISP behavior, and sensor-mode configuration.
- Design reliable, low-latency camera pipelines for real-time robotic systems, with careful attention to buffering, memory movement, CPU/GPU interaction, scheduling, throughput, timing jitter, and dropped-frame behavior.
- Build clean high-level APIs that expose camera frames, timestamps, metadata, calibration parameters, diagnostics, and health/status information to perception, autonomy, logging, and product software.
- Collaborate closely with perception, robotics, embedded systems, electrical engineering, and external hardware partners to ensure the camera stack is reliable, observable, and production-ready.

## Preferred Qualifications

- Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Robotics, Computer Science, or a related technical field.
- 5+ years of hands-on experience with embedded camera systems, including sensor bring-up, camera module integration, driver-level debugging, and board-level validation.
- Strong proficiency in C/C++ for Linux or performance-sensitive systems, including multithreading, memory management, profiling, and low-latency software design.
- Experience with camera interfaces and supporting hardware, such as MIPI CSI-2, I2C, GMSL, FPD-Link, serializers/deserializers, power sequencing, reset sequencing, clocks, and sensor mode tables.
- Experience developing or modifying Linux camera drivers, device trees, V4L2 drivers, media controller graphs, or similar low-level camera integration components
- Strong understanding of vision requirements for real-time systems, including timestamping, synchronization, buffering, scheduling, latency measurement, jitter reduction, dropped-frame analysis, and deterministic data delivery.
- Experience with multi-camera synchronization, hardware triggering, PTP, PPS, camera-IMU synchronization, or other precise timing systems.
- Working knowledge of image sensors and imaging pipelines, including Bayer formats, RAW capture, YUV/RGB formats, HDR modes, exposure/gain control, white balance, ISP behavior, and image-quality tradeoffs.
- Proficient with debugging tools and workflows, including kernel logs, tracing, profiling, oscilloscopes or logic analyzers, long-duration test scripts, capture validation tools, and reproducible failure isolation.

## About Skild AI

## Company Overview
- **One-liner**: Skild AI builds a general-purpose robotic intelligence (the "Skild Brain") that enables any robot to autonomously perceive, act, and interact across diverse physical environments.
- **Entity Type**: Private (venture-backed; latest round Series C closed January 2026)
- **Headquarters**: Pittsburgh, Pennsylvania, United States (also offices in San Mateo, San Francisco, and Bengaluru)
- **Founded**: 2023
- **Founders**: Not publicly available in the reviewed sources

## Core Business
- **Primary industry/industries**: Robotics, Artificial Intelligence, Physical Automation
- **Target customers**: B2B enterprise – manufacturing, construction, security/inspection, logistics, and other sectors requiring physical task automation
- **Mission or purpose statement**: "Bringing AI into the physical world" by building an omni-bodied brain that can control any robot for any task, learned from scalable, data-driven machine learning

## Products & Services
- **Skild Brain**: The core AI foundation model that works across different robot types and tasks, enabling low‑level skills (grasping, handover, navigation) abstracted via API calls.
- **Mobile Manipulation Platform**: Robots powered by Skild Brain that can navigate, grasp, and manipulate objects in unstructured environments.
- **Security/Inspection Robot Platform**: Robots equipped with Skild Brain for autonomous inspection in hazardous areas, reducing the need for human manual patrols.
- **Autonomous Packing System**: High‑precision dexterous manipulation for repetitive packing tasks.
- **Simulation & Data Tools**: Physics simulation environments and annotation pipelines used to train and validate the model.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding raised – **$2.215B** (CB Insights) / **$2.21B** (PitchBook), including a **$1.4B Series C** in January 2026
- **Notable Investors/Partners**: Lightspeed, Felicis, Coatue, Bezos Expeditions, Sequoia Capital, and 39+ others (per CB Insights)
- **Growth Signals**:
  - Acquired Zebra Technologies’ robotics automation business (April 2026)
  - Rapid headcount growth: ~50 employees (PitchBook) with **51 open roles** listed on Greenhouse as of mid‑2026
  - Expanded footprint to multiple US cities and Bengaluru, India

## Competitive Advantages
- **Omni‑bodied AI**: A single foundation model works across diverse robot hardware and tasks, avoiding the need for task‑specific training.
- **Scalable data pipeline**: Learns from human videos and real‑world interactions, creating a long‑term data advantage.
- **End‑to‑end integration**: From simulation and data annotation to real‑world deployment, the company controls the full stack.
- **Backing by top‑tier VCs and Bezos Expeditions**, providing capital and strategic access for rapid scaling.

## Strategic Focus
- **Real‑world deployment**: Prioritizing tangible robot applications (packing, inspection, manipulation) to deliver immediate customer value.
- **Data moat**: Continuing to scale data acquisition through human‑video learning and proprietary simulation.
- **Cross‑industry expansion**: Moving from early‑stage deployments into construction, manufacturing, logistics, and security verticals.

## Why Work Here
- **Innovation‑driven culture**: Described as a team where “curiosity meets impact,” tackling the frontier of physical AI.
- **Diverse openings**: 50+ roles across engineering (CV/ML, manipulation, embedded, simulation, infrastructure), research, product, operations, and marketing.
- **Global presence**: Offices in Pittsburgh, San Mateo, San Francisco (US) and Bengaluru (India); some roles allow remote work, though many are location‑specific.
- **Engineering‑forward**: Emphasis on data‑driven machine learning, robotics, and large‑scale systems, with opportunities to work on the core AI model and deployment.
- **Perks**: Not detailed, but typical for venture‑backed robotics startups include competitive equity, modern hardware, and a mission‑oriented environment.

## Sources
1. [skild.ai](https://www.skild.ai/)
2. [Greenhouse Job Board](http://job-boards.greenhouse.io/skildai-careers)
3. [CB Insights](https://www.cbinsights.com/company/skild-ai)
4. [PitchBook](https://pitchbook.com/profiles/company/608340-52)

## Other roles at Skild AI

- [Senior Robot Animator](https://feeny.ai/job/senior-robot-animator-skild-ai-san-mateo-n3tjht5ar94e) — San Mateo, CA
- [Senior Accountant](https://feeny.ai/job/senior-accountant-skild-ai-san-mateo-jret8etgnyp8) — San Mateo, CA
- [Technical Recruiter, India](https://feeny.ai/job/technical-recruiter-india-skild-ai-bengaluru-dj6aq3p42ts5) — Bengaluru, India
- [Technical Writer](https://feeny.ai/job/technical-writer-skild-ai-san-mateo-ysvzgysbp6gv) — San Mateo, CA
- [Global Supply Manager (GSM) – Robotics Hardware](https://feeny.ai/job/global-supply-manager-gsm-robotics-hardware-skild-ai-san-mateo-69h93f64c3fm) — San Mateo, CA
- [Full Stack Engineer (Frontend & Android Focus)](https://feeny.ai/job/full-stack-engineer-frontend-android-focus-skild-ai-san-mateo-033zp9wpy092) — San Mateo, CA
- [Workplace Manager](https://feeny.ai/job/workplace-manager-skild-ai-san-mateo-mt8mf7v9tvvx) — San Mateo, CA
- [R&D Assembly Technician](https://feeny.ai/job/r-d-assembly-technician-skild-ai-san-mateo-98dwfbsdxn0r) — San Mateo, CA
- [Program Manager - Data Collection & Annotation - India](https://feeny.ai/job/program-manager-data-collection-annotation-india-skild-ai-bengaluru-p5vbye2jktvp) — Bengaluru, India
- [Research Robotics/Computer Vision Engineer](https://feeny.ai/job/research-robotics-computer-vision-engineer-skild-ai-san-mateo-0va1h1cqapt5) — San Mateo, CA