Senior Next Gen Robotics Director

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
$94,400–$266,300 / yr
Employment
Full-time
Posted
14 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $242k
This role $180k
$71k most similar roles pay here $311k

This role pays less than 90% of similar roles. Most pay $209,984–$273,929 — the shaded band above. At the midpoint, this role pays about $180k versus about $242k 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 215 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 169 roles with salary data.

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At a glance

TL;DR · Senior Next Gen Robotics Director

Senior Next Gen Robotics Director - Manager/Senior Manager joins the Next Gen Robotics team to develop scalable robotics solutions including AMRs, autonomous drones, quadrupedal robots, and humanoid systems. The role involves managing a Physical AI and Robotics Centre of Excellence through various project phases while building Physical AI architectures focused on autonomy, Vision-Language-Action model integration, real-time systems, and simulation-to-reality pipelines. Key responsibilities include executing technology benchmarks, conducting venture screenings, and establishing test setups using foundation models like NVIDIA GR00T, π0, and OpenVLA. The candidate must possess expertise in ROS2, motion planning, sensor fusion, and simulation environments such as NVIDIA Isaac Sim, MuJoCo, and Gazebo. This position addresses the challenge of creating more efficient and safer industrial applications by integrating Physical AI with advanced robotics to transform client operations through innovative technology roadmaps and strategic partnerships.

What you'll do

  • Develop scalable Physical AI architectures focusing on autonomy, VLA model integration, and real-time systems.
  • Manage a Robotics Center of Excellence through various project phases from proof of concept to production.
  • Execute technology benchmarks and establish test setups using foundation models like NVIDIA GR00T and OpenVLA.
  • Coordinate with clients and partners to create roadmaps and implement robotics solutions in industrial settings.
  • Contribute to the internal strategy for Physical AI, including roadmap development and ecosystem positioning.
  • Build business cases and pitch tailored Physical AI and Robotics solutions to prospective clients.
  • Collaborate with internal teams to develop high-impact offerings and gain trust from key advisors.

What we're looking for

  • Bachelor's degree in robotics, computer science, or related field (or 12 years of experience).
  • Minimum of 5 years of experience in technical leadership roles such as solutions architect or tech lead.
  • Minimum of 5 years of experience in key industries including Products, H&PS, Resources, Financial Services, or CMT.
  • Minimum of 3 years of relevant leadership experience in robotics, consulting, or software projects.
  • Minimum of 3 years of experience with Physical AI and foundation model concepts like VLA models and sim-to-real transfer.
  • Solid experience with modern robotics stacks including ROS2, motion planning, sensor fusion, and simulation environments.
  • Experience in the automotive, life science, or public services industries (preferred).

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