Next Gen Robotics Engineer

Accenture

Confirmed live yesterday 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 yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $133k
$50k $258k
below market most similar roles pay here above market

This role pays less than 88% of similar roles. Most pay $162,000–$235,750 — the blue 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 231 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 166 roles with salary data.

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At a glance

TL;DR · Next Gen Robotics Engineer

The Next Gen Robotics Engineer joins the Next Gen Robotics Team to develop scalable robotics solutions, including AMRs, autonomous drones, humanoid systems, and AI-powered service platforms. This role involves providing technical leadership for innovation projects, designing architectures, and managing interdisciplinary delivery teams through production rollout phases. Key responsibilities include developing Physical AI architectures, integrating VLA models, and utilizing scalable simulations. Candidates must possess expertise in ROS/ROS2, motion planning, sensor fusion, and software development using Python, C++, and Linux. The role requires experience with edge AI deployment on devices like NVIDIA Jetson and Raspberry Pi. You will solve pressing industrial challenges by creating robust demo setups, executing technology benchmarks, and establishing tech roadmaps to improve industrial efficiency, safety, and economy through advanced robotics and Physical AI.

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.
  • Build scalable simulations using NVIDIA Isaac Sim, Isaac Lab, and Cosmos world models.
  • Manage interdisciplinary delivery teams of 3–10 people through PoC, pilot, and production rollout phases.
  • Execute technology benchmarks, venture screenings, and the establishment of robust demo and test setups.
  • Coordinate with clients and partners to create roadmaps and implement productive robotics 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 ROS/ROS2, motion planning, sensor fusion, and simulation environments.
  • Minimum of 3 years of software development experience with Python, C++, and Linux based operating systems.
  • Minimum of 2 years of experience leading a technical workstream as an architect, engineer, or integrative tech generalist.
  • Minimum of 1 year of experience with edge AI deployment for robotics, including NVIDIA Jetson and cloud environments.
  • Bachelor's degree in robotics, computer science, or related field, or equivalent work experience (minimum 12 years).
  • Hands-on experience with Physical AI, VLA architectures, and synthetic data generation (preferred).

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