Jobs / United States / Roboflow

Roboflow

Named Technical Support Engineer

Remote (USA) · Remote · US only Posted today

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Skills this job asks for

Machine learningData engineeringTeachingNetworkingLinuxPythonTranslation

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Where you can work from

United States only

Based on the listing's location: Remote (USA).

The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.

Visa sponsorship, if you would relocate

Sponsorship verdict

No sponsorship evidence yet

No government record and no wording either way. Not a refusal: ask the recruiter.

  • No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Roboflow paid sponsored hires in similar roles1 certified filing for “Support Engineer” (Software Developers) in NY: $132k–$132k, median $132k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Roboflow paid sponsored hires in similar roles
1 certified filing for “Support Engineer” (Software Developers) in NY: $132k–$132k, median $132k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

Before you apply

Sponsorship unknown

No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.

These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →

About the role

Who We Are Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too. We’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow’s machine learning open source and hosted tools. That includes counting cells to accelerate cancer research, improving construction site safety, digitizing floor plans, preserving coral reef populations, guiding drone flight, and much more. Roboflow is supported by great customers and investors, having raised over 63 million from Y Combinator, Google Ventures, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors. Roboflowers are passionate builders who value ownership, accountability, and a bias toward action. We're curious, hands-on with new tech, and prefer showing our work over talking about it. Many of us have a founder mindset and thrive in our high-autonomy environment. Who You Are You are a technically strong Support Engineer who thrives on becoming deeply embedded in a single strategic enterprise customer account. Rather than servicing a broad queue, you prefer owning intimate context: their workflows, edge infrastructure, data pipelines, and operational rhythms. You naturally build long-term trusted relationships, understand customer environments at a granular level, and act as the local regional representative of Roboflow’s platform. You enjoy teaching just as much as troubleshooting. You run bitesize enablement sessions, create tailored guides and internal customer knowledge bases, and help your customer mature their computer vision operations. When issues arise, you are calm, structured, and communicative. When things are quiet, you’re proactively improving processes, surfacing insights, and strengthening the operational fabric between Roboflow and the customer. What You’ll Do As the Named Support Engineer dedicated to a single enterprise customer, you will: • Become the technical continuity for the customer’s computer vision deployment across your region. • Build deep contextual understanding of their infrastructure, data sources, workflows, and constraints. • Serve as the regional representative of Roboflow inside the customer’s environment—trusted advisor, technical guide, and escalation point. • Lead bitesize enablement sessions (e.g., best practices in data, annotation, workflow, deployment). • Maintain and evolve a shared customer knowledge base: runbooks, FAQs, architecture notes, and patterns. • Diagnose complex issues spanning edge devices, networking, cloud pipelines, and inference performance. • Partner closely with Product, Field Engineering, and Account Executives to relay customer insights. • Identify latch‑lifter opportunities that expand adoption of Roboflow technologies. • Ensure high-quality communication and expectation setting with customer stakeholders. • Participate in Support’s on-call rotation as needed. Technical Proficiency • 7+ years of experience with Linux and networking fundamentals (VPN, SSH, firewalls). • Strong scripting skills in Bash and Python. • Ability to diagnose issues across the full CV/ML pipeline: data → training → workflow → edge inference. • Hands-on experience with Nvidia Jetson, Raspberry Pi, webcams, industrial cameras, or other edge devices. • Comfortable interpreting logs, profiling inference bottlenecks, and navigating cloud infrastructure. Individual Oriented Skills • Contextual Problem Solving: Strong questioning and listening to understand customer environments. • Relationship Build

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