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VP of Engineering AI, Physical AI & Robotics @ Awign Location: Bengaluru (Preferred) Experience: 814 Years Employment Type: Full-time About Awign At Awign, we're building the next generation of AI-powered products and Physical AI systems. Our vision extends beyond traditional softwarewe're creating intelligent systems that bridge AI with the physical world through robotics, automation, computer vision, and large-scale data generation. We're looking for a hands-on VP of Engineering who can lead engineering across software, AI, and robotics while staying deeply involved in architecture, coding, and execution. This is not a management-only role. You'll work directly with the founders to turn ambitious ideas into production-ready products at startup speed. What You'll Do Lead engineering across AI, Physical AI, robotics, and enterprise software products.Own the complete engineering lifecyclefrom ideation and architecture to deployment and scaling.Stay hands-on with system design, architecture reviews, coding, and technical problem solving.Build, mentor, and lead a high-performance engineering team.Maximize engineering productivity and execution velocity.Drive engineering excellence, code quality, scalability, and operational reliability.Collaborate closely with Founders, Product Managers, Business Teams, Tech Support, and Enterprise Clients.Translate business ideas into scalable technology solutions.Build an AI-first engineering culture across the organization.Physical AI & Robotics (High Priority) This role strongly favors candidates with experience building AI systems that interact with the physical world. Experience in one or more of the following is highly desirable: Robotics software and autonomous systemsComputer Vision and multimodal perceptionRobot perception and sensor fusionROS / ROS2 ecosystemReinforcement LearningEdge AI and Embedded AISimulation environments (Isaac Sim, Gazebo, MuJoCo, etc.)Human-Robot InteractionIndustrial automation and robotic workflowsPhysical AI Data Generation (Core Responsibility) A significant part of this role involves building the infrastructure required to train next-generation Physical AI models. You will lead initiatives around: Designing scalable data generation pipelines for Physical AI and robotics.Building systems for real-world and synthetic data collection.Creating high-quality data annotation and labeling workflows.Developing simulation-based data generation and domain randomization pipelines.Managing multimodal datasets including video, images, depth, LiDAR, IMU, GPS, and sensor telemetry.Improving dataset quality, coverage, and diversity for model training.Working closely with AI/ML engineers to improve model performance through better data.AI & Machine Learning Strong understanding of modern AI technologies including: Large Language Models (LLMs)Vision Language Models (VLMs)AI AgentsMachine LearningDeep LearningComputer VisionModel training, fine-tuning, evaluation, and deploymentMLOps and AI infrastructureTechnical Requirements Strong backend engineering expertise using Python.Experience building scalable distributed systems and cloud-native applications.Strong frontend experience with React.Experience building applications using Flutter.Understanding of native Android and/or iOS development.Experience with APIs, microservices, event-driven architectures, and cloud infrastructure.Strong knowledge of DevOps, CI/CD, monitoring, and production operations.Leadership & Stakeholder Management You will work closely with multiple stakeholders across the organization, including: FoundersBusiness TeamsProduct ManagersEngineering TeamsTech SupportEnterprise ClientsYou should be equally comfortable discussing product strategy with founders, solving architectural challenges with engineers, and translating technical decisions into business outcomes for customers. Who We're Looking For 610 years of engineering experience with increasing technical leadership responsibilities.A hands-on engineering leader who enjoys building as much as leading.Strong system design and architecture skills.Experience building and scaling engineering teams.Bias for action with a startup mindset.Ability to thrive in ambiguity and execute at high speed.Excellent communication and stakeholder management skills.Passion for AI, robotics, and building products that have real-world impact.Why Join Awign This is an opportunity to build technology at the intersection of AI, Physical AI, Robotics, Automation, and Enterprise Software. You'll work directly with the founders, influence the company's technology direction, and build products from zero to scale with minimal bureaucracy and maximum ownership. If you're excited about creating intelligent systems that move beyond screens and into the real worldand you love building at startup speedwe'd love to hear from you. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.