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AIML Software Engineer - Computer Vision

ABB

AIML Software Engineer - Computer Vision

ABB

Bangalore, Karnātaka, India

·

On-site

·

Full-time

·

3w ago

Required Skills

Python

C++

Computer Vision

Deep Learning

Machine Learning

Computer Vision Software Engineer

  • Robotics

About the Role

At ABB, we help industries outrun - leaner and cleaner. This role sits within ABB's Robotics business, a leading global robotics company. We're entering an exciting new chapter as we've announced the plan for Soft Bank Group to acquire ABB Robotics. Soft Bank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing. By joining us now, you'll be part of a pioneering team shaping the future of robotics—working alongside world-class experts in a fast-moving, innovation-driven environment.

This position reports to: Engineering Manager

Work model: Hybrid

Location: Bangalore, India

Responsibilities

  • Implement and optimize core computer vision algorithms and software
  • Work across model training, inference integration, and perception module deployment
  • Contribute to data pipeline development, system debugging, and continuous improvement cycles in an agile development environment focused on robotic autonomy
  • Design and implement algorithms for object detection, localization, and scene understanding to support robotic manipulation and situational awareness in dynamic environments
  • Build modular vision pipelines for image acquisition, pre-processing, model inference, and post-processing
  • Ensure efficiency, reusability, and maintainability for real-time robotic applications
  • Assist in setting up training pipelines, versioning, model packaging, and deployment workflows
  • Use ML Ops tools to streamline model updates, performance monitoring, and continuous improvement
  • Implement and maintain well-documented APIs for perception modules and data services
  • Write clean, modular code and integrate functionality across the stack
  • Create test suites for system validation and ensure compliance with accuracy and latency targets
  • Assist in prototyping and experimentation for new techniques and components
  • Contribute to rapid evaluations of feasibility, performance, and integration potential for emerging capabilities

Qualifications

  • Background in Computer Science, Robotics, Machine Learning, or a related field (Bachelor's, Master's) with 3 to 5 years of relevant experience
  • Solid foundation in computer vision and deep learning concepts, with practical experience applying them to real-world problems
  • Proficient in Python and C++ with strong software engineering fundamentals—version control, testing, debugging, and collaborative development
  • Exposure to system-level programming concepts such as threading, memory management, low-latency processing, and platform resource constraints
  • Exposure to machine learning frameworks (e.g., Py Torch, Tensor Flow) and ML Ops tools for training, deployment, and monitoring
  • Exposure to user experience (UX) and user interface (UI) design concepts for human-centered AI applications—especially interfaces used for debugging, system control, or visualization
  • Experience with cloud technologies and data infrastructure (e.g., AWS, GCP, or Azure) for scalable training, data storage, or system integration
  • Strong problem-solving mindset, curiosity, and ability to learn quickly in a fast-paced, cross-functional environment

About ABB

ABB Robotics & Discrete Automation Business area provides robotics, and machine and factory automation including products, software, solutions and services. Revenues are generated both from direct sales to end users as well as from indirect sales mainly through system integrators and machine builders.

www.abb.com/robotics

Why ABB

Working at ABB gives you the opportunity to contribute to a healthier and more prosperous world. Add to your story by joining a passionate team, focused on pushing the boundaries of technology to drive performance, shape new business models and find new ways of working that benefit our customers, partners and society.

We care: At ABB, we care about our people and their stories. We create safe, fair, equitable and inclusive working environments in which our people can succeed and develop, regardless of gender, ethnicity, sexual orientation or cultural, religious or social background. Diverse teams make us stronger. ABB is also committed to a high standard of integrity in everything we do.

We grow: We help our people succeed and develop, and we empower them to create their own careers at ABB. Our benefits, reward and development programs encompass a wide array of offerings.

How to Apply

Do you want to shape the future, together with us? Visit https://global.abb/group/en/careers to apply for current open positions.

Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. We never ask for money from job applicants. Please refer to detailed recruitment fraud caution notice at https://global.abb/group/en/careers/how-to-apply/fraud-warning.

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About ABB

ABB

ABB

Public

ABB is a multinational technology corporation that provides electrification, robotics, automation, and motion solutions for industrial and infrastructure applications.

10,001+

Employees

Zurich

Headquarters

Reviews

3.5

3 reviews

Work Life Balance

3.0

Compensation

2.0

Culture

2.5

Career

3.5

Management

2.0

35%

Recommend to a Friend

Pros

Award ceremonies and achievement recognition

Professional experience opportunities

Relevant marketing and writing experience

Cons

Awards only recognize sales and leadership teams

Auxiliary departments excluded and understaffed

No cost of living raises provided

Salary Ranges

405 data points

Mid/L4

Senior/L5

Mid/L4 · Project Manager

102 reports

$117,433

total / year

Base

$109,179

Stock

-

Bonus

$8,254

$79,130

$175,443

Interview Experience

5 interviews

Difficulty

3.8

/ 5

Duration

14-28 weeks

Offer Rate

20%

Experience

Positive 0%

Neutral 60%

Negative 40%

Interview Process

1

Application Review

2

Phone Screen

3

Technical Interview

4

System Design/Panel Interview

5

Onsite/Final Round

6

Offer Decision

Common Questions

Technical Knowledge

System Design

Behavioral/STAR

Past Experience

Problem Solving