Product Consultant (Autonomous Systems) (Hybrid)

Agile Enterprise Solutions, Inc.
Mountain View, CA, United States
12 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Large Language Models Information Technology Operational Systems Machine Learning Operations Lidar Data Pipelines

Job description

Wipro is seeking a high-caliber Principal Product Consultant to bridge client engineering (Autonomous Driving Software, Foundation Models, Behavior/Planning) and Wipro’s global operations delivery teams. In this strategic role, you will be embedded directly with client engineering teams in Silicon Valley to translate complex non-perception requirements (e.g., End-to-End Foundation Models, EMMA architectures, open/closed-set behavior categorization, and VLM captioning) into scalable operational systems.

You will act as a thought leader, drastically reducing client Program Manager bandwidth, driving quality/productivity architectures, and co-engineering operational workflows alongside your counterpart in India., * Strategic Client Alignment & Thought Partnership: Serve as the primary technical product interface to client Engineering (Autonomous Systems, ML Evaluation, Behavior/Planning). Move Wipro’s positioning from an operational vendor to a co-engineering strategic partner.

  • Non-Perception & ML Workflow Architecture: Deconstruct complex, high-ambiguity client ML requests (EFMs, EMMA, open-set behavior tagging, trajectory prediction, VLM scene captioning) into standardized edge-case taxonomies, tooling specs, and evaluation pipelines.
  • Client PgM Bandwidth Offloading: Direct ownership of requirement gathering, technical policy writing, edge-case resolution, and triage drastically reducing the client PgM’s coordination overhead.
  • Global Operations Enabling: Work synchronously with the Senior Product Consultant (India) to translate client engineering intent into operational playbooks, automated validation checks, and frontline training modules.
  • Continuous Process & Tooling Optimization: Analyze quality and throughput metrics to recommend tooling upgrades, automated pre-labeling features, and optimized annotation/eval workflows directly to client tooling teams.

Requirements

  • Experience: 10 15+ years in Autonomous Vehicles, Robotics, or Advanced AI/ML Systems, with at least 5+ years in Product Management, Technical Program Management, or Solutions Architecture focused on AV Data/Perception/Behavior.
  • Domain Expertise: Deep hands-on knowledge of Non-Perception AV workflows: Behavior/Planning labeling, Foundation Models (EFM/EMMA), Open/Closed-Set taxonomy design, RLHF/Human-in-the-Loop ML evaluation, and VLM/LLM captioning pipelines.
  • Technical Depth: Familiarity with ML Evaluation frameworks, edge-case triage, AV perception-fused streams (Lidar/Camera/Radar), and data pipeline architectures.
  • Stakeholder Management: Proven track record of working directly with Principal/Staff AV Engineers and Technical PgMs at top autonomous driving companies.
  • Education: B.S. or M.S. in Computer Science, Robotics, Electrical Engineering, or related technical field (MBA preferred).

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:17 min

Validating lidar sensor models against real noise

Ulrich Wurstbauer +1 · LIVE

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

41 sec

Introducing the blockchain operating system as a platform layer

Andrej Šarić · World Congress 2023

1:34 min

Transitioning from traditional software development to artificial intelligence consulting

Patrick Schnell Patrick Schnell · Coffee With Developers

2:08 min

Processing physical environment data with lidar models

Oliver Zimmert · LIVE

2:12 min

Navigating technical clarity as a global black belt

Chris Heilmann +2 · LIVE

Videos

See all

Related articles

See all