Next Gen Robotics Engineer

Accenture

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NYMilwaukee, WIDallas, TXColumbus, OHKirkland, WACincinnati, OHCleveland, OHOklahoma City, OKAustin, TXAlbany, NYChicago, ILSt. Pete, FLHartford, CTPittsburgh, PASt. Louis, MOMiami, FLSacramento, CARaleigh, NCMinneapolis, MNMountain View, CAScottsdale, AZSan Francisco, CAMorristown, NJDenver, COBoston, MAPhiladelphia, PADes Moines, IAOverland Park, KSLos Angeles, CACharlotte, NCWalnut Creek, CACarmel, CASeattle, WAHouston, TXArlington, TXAtlanta, GAOrlando, FLRedmond, WABentonville, ARBeaverton, ORNashville, TNDetroit, MISan Diego, CA
Salary
$70,350–$196,000 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $133k
$50k most similar roles pay here $262k

This role pays less than 91% of similar roles. Most pay $161,800–$235,750 — the shaded band above. At the midpoint, this role pays about $133k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 184 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 160 roles with salary data.

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At a glance

TL;DR · Next Gen Robotics Engineer

As a Next Gen Robotics Engineer on the Next Gen Robotics Team, you will provide technical leadership for robotics innovation projects, including architecture design, implementation, and integration for global industrial clients. You will develop scalable Physical AI architectures focused on autonomy, VLA model integration, real-time systems, and large-scale simulation using NVIDIA Isaac Sim, Isaac Lab, and Cosmos world models. Your daily work involves managing interdisciplinary delivery teams through various project phases while executing technology benchmarks and establishing robust test setups. The role requires proficiency in Python, C++, ROS2, motion planning, sensor fusion, and edge AI deployment via NVIDIA Jetson and TensorRT. You will solve complex industrial challenges by building scalable solutions for AMRs, autonomous drones, quadrupedal robots, and humanoid systems to improve efficiency and safety across various industrial applications.

What you'll do

  • Provide technical leadership for robotics innovation projects including architecture design and integration for global industrial clients.
  • Develop scalable Physical AI architectures focusing on autonomy, VLA model integration, and real-time systems.
  • Manage interdisciplinary delivery teams of 3 to 10 people through proof of concept and production rollout phases.
  • Execute technology benchmarks, venture screenings, and establish robust demo and test setups.
  • Coordinate with clients and partners to create roadmaps and implement productive technical solutions.
  • Contribute to the Next-Gen Robotics strategy by developing tech roadmaps and internal enablement initiatives.

What we're looking for

  • Minimum of 3 years of relevant experience in robotics, consulting, or software projects with a strong technical focus.
  • Minimum of 3 years of experience with modern robotics stacks including ROS2, motion planning, sensor fusion, and simulation environments.
  • Minimum of 3 years of experience with Physical AI, VLA architectures, robot policy fine-tuning, and sim-to-real transfer pipelines.
  • Minimum of 3 years of experience with synthetic data generation and world models for scalable robot training.
  • Minimum of 3 years of experience in software development using Python and C++ with Git and CI/CD practices.
  • Minimum of 3 years of experience in technical project roles such as an architect, lead engineer, or integrative tech generalist.
  • Minimum of 2 years of experience with edge AI deployment for robotics, including NVIDIA Jetson, TensorRT, and real-time control.
  • Bachelor's degree in robotics, computer science, or a related field (or equivalent work experience).

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