Sr. AI Engineer, Physical AI & Robotics

TELUS Digital
Bengaluru, India
On-site

Who this role is best for

Candidates with robotics and computer vision expertise will find this solutions-lead role with hybrid work arrangements in Bengaluru.

Best fit for

  • Candidates with strong perception engineering and robotics deployment experience
    — “designing the perception and robotics ML solution, to building it hands-on through to delivery”
  • Individuals who can bridge simulation and real-world applications with domain randomization
    — “Bridge simulation and deployment via domain randomization, sim setup, and sim-to-real gap analysis”
  • Candidates with a research orientation and ability to form technical opinions
    — “Research orientation — tracks arXiv, forms opinions from first principles”

Things to consider

  • Hybrid work requires a minimum in-office presence in Bengaluru
    — “this role will maintain an in-office presence in a hybrid capacity”
  • Candidates must be comfortable operating in areas where best practices are still evolving
    — “comfortable operating where best practices are still being defined”

How to stand out

  • Highlight end-to-end project ownership and technical feasibility assessments
    — “Own client engagements end to end — technical discovery, solution architecture, hands-on build, and delivery”
  • Demonstrate experience with sensor calibration and 3D geometry in perception systems
    — “Own sensor calibration and fusion — intrinsic/extrinsic, hand-eye, and LiDAR–camera”
  • Showcase ability to translate ambiguous problems into concrete ML architectures
    — “Translate ambiguous real-world problems into concrete perception and robotics ML architectures”
  • Emphasize experience with model fine-tuning under data and compute constraints
    — “fine-tune large pretrained models under data and compute constraints”
  • Demonstrate knowledge of agentic systems and multi-step planning in your projects
    — “Agentic systems and prompt engineering — tool-use agents and multi-step planners”
Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • client engagements
  • technical discovery
  • solution architecture
Typical background
AI engineerrobotics engineer

Skills & requirements

Required

Computer VisionPerception EngineeringRobotics MLSensor Calibration3D Geometry

Preferred

Domain RandomizationSim-to-real Gap AnalysisVLA Models

Stack & domain

AIComputer VisionPerception3D GeometryLidarCalibrationSim-to-realVLA ModelsRest/grpc ApisPostgreSQLLeadershipProblem-solvingStakeholder EngagementPhysical AIRoboticsCustomer ServiceIn-store Solutions

About the role

Original posting from TELUS Digital via Ashby

WHO WE ARE

Welcome to TELUS Digital https://www.telusdigital.com/— where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS https://www.telus.com/en/, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.

With a global team across North America, South America, Central America, Europe, Africa, and APAC, we offer end-to-end expertise across various service offerings: Web, Mobile & Digital Marketing | Enterprise AI | Customer Care AI & Technology | Enterprise Technology Modernization

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.

LOCATION & FLEXIBILITY

India Hybrid:

Our team at TELUS Digital. To help retain our deep culture of collaboration, this role will maintain an in-office presence in a hybrid capacity . This role can be located in Bengaluru.

THE OPPORTUNITY

We're hiring a Senior AI Engineer to own client engagements end to end across Physical AI and robotics — from understanding a client's real-world environment and constraints, to designing the perception and robotics ML solution, to building it hands-on through to delivery.

This is a solutions-lead role that codes. You drive the engagement from problem to production and are a strong enough perception engineer to be trusted in front of clients and to write the code that ships. The technical spine is computer vision, perception, and 3D geometry; the surrounding robotics stack — LiDAR, calibration, sim-to-real, VLA models — is where you apply that core to real deployments. You own the "can we actually do this?" answer, and then you go build it. You are research-aware, principled in how you diagnose problems, and comfortable operating where best practices are still being defined.

RESPONSIBILITIES

  • Own client engagements end to end — technical discovery, solution architecture, hands-on build, and delivery — acting as the technical authority on feasibility.
  • Translate ambiguous real-world problems into concrete perception and robotics ML architectures; lead demos and proof-of-concept scoping.
  • Design and build CV and perception systems — detection, segmentation, pose estimation — on the 3D geometry underneath (SE(3), camera models, projection, coordinate frames).
  • Own sensor calibration and fusion — intrinsic/extrinsic, hand-eye, and LiDAR–camera — plus LiDAR processing (registration, ground segmentation, object detection).
  • Design egocentric data collection pipelines using wrist/head-mounted cameras, depth sensors, and IMU for robot learning.
  • Bridge simulation and deployment via domain randomization, sim setup, and sim-to-real gap analysis.
  • Evaluate, select, and integrate VLA models, and fine-tune large pretrained models under data and compute constraints.
  • Build supporting services — agentic loops, REST/gRPC APIs, and PostgreSQL — to expose model inference and robotics services.
  • Mentor engineers, drive principled decisions (diagnose before solving), and translate current research into practical client implications.

QUALIFICATIONS

  • Bachelor’s degree in Computer Science, Engineering, or related field

BONUS POINTS

  • Agentic systems and prompt engineering — tool-use agents and multi-step planners.
  • API development (REST/gRPC, Docker, basic CI/CD) and PostgreSQL.
  • ROS / ROS2 or equivalent robotics middleware.
  • C# for Unity-based simulation and tooling.
  • Fine-tuning large pretrained models under data/compute constraints.
  • Edge/onboard optimization — TensorRT, ONNX, quantization.
  • RL / RLHF, motion planning, kinematics, or URDF.
  • Hands-on with robot hardware (Franka, UR, Unitree, or similar).
  • Research orientation — tracks arXiv, forms opinions from first principles.
  • Publications, open-source work, or notable projects in robot learning or Physical AI.

EQUAL OPPORTUNITY EMPLOYER

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.

We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.

For more information on how we use your information, see our Privacy Policy https://jobs.telusdigital.com/pages/applicant-privacy-notice.

Source: TELUS Digital careers (Ashby)

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