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TELUS Digital

Roboticist, Client Consulting & Solutions

Remote, USRemote · United States
FullTime · AI Digital Solutions
POSTED 31 JULVERIFIED 1D AGO
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Pay · posted
$128k–160k
mkt median $93k
Open for
97d
since 31 Jul
H-1B · FY26
23
certified LCAs
Hiring · 30d
56
0 net · open roles
PostgreSQL

Who We Are

Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.

With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.

Location & Flexibility

This is a remote US-based role requiring travel for client meetings and hands-on site support (e.g., teleoperation data collection locations). You’ll coordinate on-site setup, equipment readiness, and field execution across project locations as needed.

The Opportunity

We’re hiring a Roboticist to serve as a trusted advisor to our global robotics and embodied-AI clients — and the engineer who ships the solution. This is a solutions-lead role that codes, not consultation alone. Our Roboticist will apply the same consultative, outcome-driven approach across accounts and geographies as our robotics practice grows.

Expect to flex across concurrent client engagements, each with its own goals, constraints, and regional considerations. Bringing deep expertise in robotics and embodied AI, you’ll guide clients through large-scale data collection, field deployments, and program design — and build the perception systems, data pipelines, and model integrations that deliver them.

Internally, you’ll act as the vital bridge between client vision and execution—partnering with Commercial, Solutions, Operations, and Quality to translate ambitious goals into well-run programs across multiple accounts worldwide. As the senior robotics presence in-region, you’ll be the first point of contact and engineering expertise for robotics solution and project requests originating in the US and EU, coordinating with our India/APAC team to move solutions from blueprint to production across time zones.

What Success Looks Like

Clients will see our Sr. Robotics Applied AI Engineer as a genuine and trusted advisor, not a vendor resource — someone whose input shapes program design before problems occur. Internally, Commercial, Solutions, Operations, and Quality all treat this role as the technical anchor point for robotics engagements, and client programs consistently meet the outcomes they were scoped to deliver. Beyond the advisory anchor, this person also ships working perception and robotics systems: US/EU requests route through them early, feasibility is assessed before commitment, and cross-region handoffs to India/APAC stay clean under load.

Responsibilities

Strategic Client Advisory & Co-Design: Act as the primary robotics subject-matter advisor in client conversations — assessing what a client is trying to achieve and recommending the approach, equipment, and program design most likely to get them there, rather than defaulting to a standard offering (co-design & iterate).

Hands-on Solution Build: Design and build the CV and perception systems — detection, segmentation, pose estimation — on the 3D geometry underneath (SE(3), camera models, projection, coordinate frames), and own sensor calibration and fusion (intrinsic/extrinsic, hand-eye, LiDAR–camera) and LiDAR processing.

Data Pipelines & Models: Design egocentric data-collection pipelines (head/wrist cameras, depth, IMU) for robot learning; evaluate, integrate, and fine-tune VLA models under data and compute constraints; and build supporting services (REST/gRPC, PostgreSQL) to expose model inference and robotics services.

Source · TELUS DigitalFirst seen 2 NovOriginal ↗