Forward Deployed Engineer
Remote (US) · ~40–50% travel · Full-time Compensation: $144K–$200K base ($180K–$250K OTE) + equity About the Company Our client is a well-funded, growth-stage computer vision / physical-AI company whose platform is used by more than a million developers and a large share of the Fortune 100, primarily across manufacturing and industrial settings. They help the world's largest companies take vision models from proof-of-concept to real production on the factory floor. Founded 2019 · ~70 people · Industry: AI, Software Development, Devtools The Role You'll take computer vision deployments from proof-of-concept to production at major manufacturing, logistics, and industrial organizations. This is a hands-on, 0-to-1 builder role for someone who thrives in ambiguous, real-world environments — embedding directly with customer teams and shipping production-grade systems that hold up outside the lab. What you'll be doing Embed with customers on-site (roughly a quarter to half your time) to take validated POCs to first production deployment. Build and configure data pipelines, edge devices, and vision models in real physical environments like factories, warehouses, and construction sites. Act as the field's voice back to Product and Engineering — surfacing the gap between what customers ask for and what they actually need. Write production-grade Python and handle the messy realities of real-world CV: lighting, camera calibration, model drift, and edge hardware limits. Document deployment architectures, write runbooks, and hand off cleanly once customers are running independently. Tech stack: Python, Docker, Kubernetes, Linux, NVIDIA Jetson, computer vision, ML/MLOps, edge computing, industrial cameras Requirements Roughly 1–8 years in a forward-deployed, field, solutions-architect, or customer-facing software engineering role. A junior path (1–3 years) works with strong FAANG-tier internships plus time at a leading FDE company, high-growth startup, or in a customer-facing SWE role. Direct ownership of a customer-facing technical deployment end to end — from initial build through customer adoption and post-launch support. Strong Python plus real systems-level experience (Docker, Kubernetes, networking, Linux). Automation, mechanical, or industrial engineers with strong software engineering skills are welcome. A BS in computer science, engineering, or a related technical field. Highly motivated, coachable, and low-ego — eager to learn, open to feedback, and a genuine team player. Able to communicate and build trust with everyone from executives to engineers to floor operators. Willing to travel 40–50% for on-site deployments; a Midwest base (Chicago / Indianapolis area) is strongly preferred. Nice to Haves Background in manufacturing, logistics, automotive, or robotics/automation. Familiarity with MLOps and CV tooling — model versioning, monitoring, and retraining pipelines. Why Join Join a company with genuine traction: a platform already used at massive scale by household-name enterprises. Strong, uncapped OTE plus equity and a generous benefits package, including full health coverage and travel, productivity, and AI-tools stipends. Remote-first across the US with optional hubs and a relocation bonus, plus a flexible, async-friendly culture. A career-defining field role where you own real production outcomes for major customers. Details Location: Remote (US); Midwest strongly preferred (Chicago, Indianapolis, Cleveland); NYC/SF/DC hubs Work policy: Remote with ~40–50% travel for on-site customer deployments Compensation: $144K–$200K base ($180K–$250K OTE) + equity Visa sponsorship: Not available — US work authorization required (US citizen / Green Card) Employment type: Full-time
Наблюдалась 2026-09-14, впервые 2026-08-21, источник — Indeed.