We are initiating the
Execute phase of a cutting-edge program called
VLAOps, running in parallel with our
Collision Mitigation System (CMS). The objective is to build a
Visual-Language-Action Operations ecosystem for autonomous construction vehicles. Active R&D streams include Data Annotation, Data Augmentation, Model Explainability, and Simulation Unification.
- The Mission: To design the "Factory"-an end-to-end MLOps toolchain that manages the full lifecycle of Foundation World Models. This involves closing the loop across Data Ingestion → Training → Simulation → Inference.
Essential functions
Strategic Client Partnership- Maintain a regular, direct working cadence with the client leadership team-present at key moments, available between meetings, and capable of driving strategic conversations forward rather than simply receiving direction.
- Capture forward-looking client signals-new use cases, emerging tech interests, priority shifts, and organizational changes-and translate them into structured briefs for our engineering team.
- Represent strategic technology leadership in client interactions by proactively introducing ideas, technical proposals, and roadmap options.
Program & Roadmap Strategy- Maintain a live, comprehensive view of the forward roadmap across all active program tracks (VLAOps Gen3, CMS, AI Assistant, and R&D streams).
- Ensure technical initiatives across data, modeling, and simulation align with overarching business goals and client deliverables.
Technical Architecture & Execution- Lead the architectural design and implementation of the VLAOps ecosystem and MLOps toolchain.
- Partner with engineering teams to overcome complex technical roadblocks in foundation model training, simulation unification, and real-time inference.
Qualifications
- 15+ years of experience in software architecture, technical leadership, or innovation roles.
- Proven expertise in MLOps & AI Infrastructure (end-to-end data pipelines, foundation models, simulation environments).
- Client-Facing Leadership: Demonstrated experience acting as a trusted advisor to senior executives.
- Autonomous Systems / Robotics Focus: Deep understanding of computer vision, multimodal models (VLA), or real-time control systems.
- Domain & Technical Context: Background in industrial AI, autonomous systems, or manufacturing, including exposure to simulation environments (e.g., CARLA, Isaac Sim).
- Strong communication skills and the ability to synthesize complex architectures into executive summaries.
- Based in or willing to relocate/travel to the Peoria, IL area; permanent US work authorization required.
- Bachelor's or Master's Degree in Computer Science or a similar technical field.
Would be a plus
- Experience with autonomous vehicles, heavy machinery, or construction domain technologies.
- Exposure to advanced simulation engines (e.g., Isaac Sim, Unreal Engine) and model explainability frameworks.
- Experience in a pre-sales, R&D proposal, or innovation solutioning capacity within a consulting or engineering services firm.
- Prior experience in a client-embedded capacity bridging distributed delivery teams and client leadership.
We offer
- Opportunity to work on cutting-edge, industry-defining AI and robotics projects.
- Collaborative culture with a highly motivated team of engineers and researchers.
- Competitive compensation and flexible work schedule.
- Comprehensive benefits package (medical, dental, vision, etc.).
- Corporate social events
- Professional development opportunities and continuous learning support.
Please note that all onboarding must occur in person and you may be asked to travel to attend
