2

Entry Level Autonomous Systems Engineer Jobs in New Jersey

About the Role As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you'll work on ... Partner with cross-functional teams in AI, robotics, and systems engineering to co-create ...

About the Role As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you'll work on ... Partner with cross-functional teams in AI, robotics, and systems engineering to co-create ...

About the Role As we continue to grow, we're seeking an Agentic Engineer (New Grad) to help build autonomous, AI-driven systems that power innovation across Noom. In this role, you'll work at the ...

About the Role As we continue to grow, we're seeking an Agentic Engineer (New Grad) to help build autonomous, AI-driven systems that power innovation across Noom. In this role, you'll work at the ...

RVE (an Ardurra company) is seeking an Entry Level Electrical Engineer to join our team in Egg ... Primary Duties: * Assist with the design and development of electrical systems for building and ...

This is an entry-level position - less than two years of industry experience is expected; Vxworks ... Candidate must also have a knowledge of equipment, systems and techniques appropriate to debugging ...

Description CME Associates is seeking a motivated and detail-oriented Entry-Level Civil Engineer to ... systems, and land development. * Site Investigation and Surveys: Conduct fieldwork, site ...

next page

Showing results 1-20

Entry Level Autonomous Systems Engineer information

What is an entry level autonomous systems engineer?

An Entry Level Autonomous Systems Engineer is a professional who designs, develops, tests, and implements technologies that enable machines or systems to operate independently with minimal human intervention. These engineers often work on robotics, self-driving vehicles, drones, or industrial automation. As entry-level professionals, they typically assist senior engineers in building algorithms, integrating sensors, and troubleshooting hardware or software issues. They use skills in programming, systems engineering, and data analysis to help create and improve autonomous systems. This role is ideal for recent graduates or those with limited experience looking to start a career in robotics and automation.

What types of projects and technologies do entry level autonomous systems engineers typically work on, and how is their work structured within a team?

As an Entry Level Autonomous Systems Engineer, you'll often contribute to projects involving robotics, self-driving vehicles, or drone technologies. Your daily work may include developing and testing algorithms for perception, localization, and control, often using tools like Python, ROS, and machine learning frameworks. You will typically collaborate closely with senior engineers, software developers, and hardware teams through agile sprints, code reviews, and regular team meetings. The environment is highly collaborative and problem-solving oriented, offering abundant opportunities to learn from experienced colleagues and participate in multidisciplinary projects that can lead to rapid professional growth.

What are the key skills and qualifications needed to thrive as an entry level autonomous systems engineer, and why are they important?

To thrive as an Entry Level Autonomous Systems Engineer, you need a solid foundation in robotics, control systems, programming (such as Python or C++), and a relevant engineering degree. Familiarity with simulation tools like ROS (Robot Operating System), MATLAB, and version control systems (e.g., Git) is typically required. Strong problem-solving skills, teamwork, and effective communication help you collaborate and innovate within multidisciplinary teams. These skills and qualities are crucial for building reliable autonomous systems and adapting to rapidly evolving technologies.

What is the difference between Entry Level Autonomous Systems Engineer vs Autonomous Vehicle Software Engineer?

AspectEntry Level Autonomous Systems EngineerAutonomous Vehicle Software Engineer
Required CredentialsBachelor's in Robotics, Computer Science, or Electrical EngineeringBachelor's or Master's in Computer Science, Software Engineering, or related fields
Work EnvironmentResearch labs, tech companies, automotive industryAutomotive companies, tech firms, startups focused on autonomous vehicles
Employer & Industry UsageDeveloping autonomous systems for various applicationsDesigning software specifically for autonomous vehicle navigation and control

While both roles involve working with autonomous systems, the Entry Level Autonomous Systems Engineer focuses broadly on developing autonomous technologies across industries, whereas the Autonomous Vehicle Software Engineer specializes in software development for self-driving cars. The former may work on sensors, algorithms, and system integration, while the latter concentrates on vehicle-specific software solutions.

What are the most commonly searched types of Autonomous Systems Engineer jobs in New Jersey?

The most popular types of Autonomous Systems Engineer jobs in New Jersey are:

What are popular job titles related to Entry Level Autonomous Systems Engineer jobs in New Jersey?

For Entry Level Autonomous Systems Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Entry Level Autonomous Systems Engineer jobs in New Jersey look for?

The top searched job categories for Entry Level Autonomous Systems Engineer jobs in New Jersey are:

Infographic showing various Entry Level Autonomous Systems Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

Full-time

Re-posted 14 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

176th of 226 rated it services


Job description

About the Role

As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you’ll work on the frontier of applied artificial intelligence, where perception meets physical intelligence. This role is designed for bright, curious, and self-driven graduates who aspire to build the next generation of intelligent robotic systems - capable of seeing, reasoning, and acting autonomously in the physical world.

You will collaborate with interdisciplinary teams of researchers, data scientists, and roboticists to explore, prototype, and implement computer vision and machine learning algorithms that power autonomous robots, humanoids, and intelligent machines. From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you’ll be pushing the boundaries of what machines can perceive and do.

If you are passionate about AI, robotics, and human–machine collaboration and want to shape how intelligent systems interact with the world - this is your launchpad.

Key Responsibilities

AI Research & Experimentation

  • Research, develop, and prototype novel algorithms in computer vision, deep learning, and autonomous systems.
  • Work on topics such as object detection, pose estimation, scene understanding, 3D reconstruction, and sensor fusion.
  • Contribute to building perception pipelines for autonomous mobile robots (AMRs), humanoids, and collaborative robotic systems.

Development & Implementation

  • Design, train, and optimize deep neural networks using frameworks such as PyTorch or TensorFlow.
  • Develop real-time perception and decision systems using ROS, OpenCV, and NVIDIA Jetson/Isaac SDKs.
  • Implement algorithms for navigation, path planning, and control integration.

Collaboration & Innovation

  • Partner with cross-functional teams in AI, robotics, and systems engineering to co-create innovative prototypes.
  • Participate in TCS research initiatives, innovation challenges, and client-facing proof-of-concept demonstrations.
  • Contribute to whitepapers, patents, and internal publications advancing TCS’s thought leadership in AI and robotics.

Continuous Learning & Experimentation

  • Stay current with advances in AI, robotics, and multimodal learning from academia and industry.
  • Experiment with new architectures (e.g., Vision Transformers, Diffusion Models, Agentic AI frameworks).
  • Test and benchmark algorithms on physical robot platforms and simulation environments (e.g., Gazebo, Isaac Sim).

Required Qualifications & Skills

Educational Background:

  • Master’s or Ph. D in Computer Science, Robotics, Electrical/Electronics Engineering, Mechatronics, or AI/ML from a recognized institution.
  • Strong academic foundation in machine learning, image processing, linear algebra, and probability.

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom