Partner Solutions Engineer

United States Digital Space LLC; Greater London; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Equity packages

24 vacation days

Brand-new Apple gear

Job summary

the company in London is seeking a Partner Solutions Engineer to collaborate with the Head of Partnerships on building, integrating, and deploying YOLO-based computer vision solutions. You will lead technical discovery, scope partner projects, and translate requirements into practical architectures, demos, and deployments.

This hands-on, client-facing role requires deep technical curiosity, strong communication, and the ability to deliver working solutions across Linux, macOS, and Windows, with

Qualifications

• Experience in computer vision and AI with Python, YOLO, OpenCV, and PyTorch.
• Experience training, exporting, and deploying models; familiarity with ONNX, TensorRT, OpenVINO, QNN, LiteRT, and INT8 quantization.
• Proven ability to lead partner-facing technical calls, scope work, and deliver demos or solution architectures.
• Excellent written and spoken English; able to travel for partner meetings and events.

Responsibilities

• Lead partner-facing technical calls, discovery, and project scoping.
• Design solution architectures for YOLO training, integration, export, and deployment.
• Build technical demos and rapid prototypes using Python, OpenCV, PyTorch, and Docker.
• Support model export and INT8 quantization across ONNX, TensorRT, OpenVINO, QNN, and LiteRT.
• Help partners deploy across Linux, macOS, and Windows, and document clear implementation guidance.
• Review partner and community GitHub pull requests and share actionable feedback.
• Use OpenAI and Anthropic APIs to prototype client tools and accelerate partner workflows.
• Share partner needs and technical findings with Product and Engineering teams.

Skills

Python

YOLO

OpenCV

PyTorch

Docker

Linux

English

Technical leadership

Tools

ONNX

TensorRT

OpenVINO

QNN

LiteRT

GitHub PRs

Job description

About the company:

At the company, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world, and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team.

Join the team powering the future of vision AIHello, hola, 你好, こんにちは, नमस्ते, hallo, bonjour! Thanks for stopping by — we know your time is valuable, so here's what makes the company special.

Who we areAt the company, we're on a mission to simplify AI for everyone. As the creators of the world's leading the company YOLO models, we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications.

Following our $30M Series A round, we're expanding rapidly across our global hubs. This is an opportunity to join a fast-scaling, high-performance team that's redefining the future of vision AI — where ambition meets impact, and ideas become reality.

We move fast. We build boldly. We execute with purpose. And we do it together.

About the role

As a Partner Solutions Engineer, you'll work side by side with our Head of Partnerships to help partners build, integrate, and deploy computer vision solutions with the company YOLO. You'll lead technical discovery, scope partner projects, and turn requirements into practical solution architectures, demos, and deployments.

This is a hands‑on, client‑facing role with no people‑management responsibilities. You'll collaborate with partners and internal engineering teams across model training, export, quantization, and cross‑platform deployment. You'll thrive here if you combine deep technical curiosity with clear communication, sound judgment, and a bias for getting working solutions into users' hands.

What you'll do

Partner solutions & delivery

• Lead partner‑facing technical calls, discovery, and project scoping.
• Design solution architectures for YOLO training, integration, export, and deployment.
• Build technical demos and rapid prototypes using Python, OpenCV, PyTorch, and Docker.
• Support model export and INT8 quantization across ONNX, TensorRT, OpenVINO, QNN, and LiteRT.
• Help partners deploy across Linux, macOS, and Windows, and document clear implementation guidance.

Technical collaboration

• Work side by side with the Head of Partnerships to advance partner integrations and unblock technical work.
• Review partner and community GitHub pull requests and share actionable feedback.
• Use OpenAI and Anthropic APIs to prototype client tools and accelerate partner workflows.
• Share partner needs and technical findings with Product and Engineering teams.

Partner enablement

• Create technical documentation, demos, and integration guidance using the the company docs and guides.
• Represent the company in partner meetings, technical events, and occasional travel.

Skills and experience

Core requirements

• Experience in computer vision and AI, with practical knowledge of Python, YOLO, OpenCV, and PyTorch.
• Experience training, exporting, and deploying models; familiarity with ONNX, TensorRT, OpenVINO, QNN, LiteRT, and INT8 quantization.
• Proven ability to lead partner‑facing technical calls, scope work, and deliver demos or solution architectures.
• Experience reviewing GitHub pull requests and writing clear technical documentation.
• Comfortable working across Linux, macOS, and Windows, with Docker and common development workflows.
• Strong spoken and written English; able to travel for partner meetings and events.
• Resourceful, collaborative, and comfortable taking ownership in a high‑performance startup.

Nice to have

• Deep knowledge of vendor SDKs such as CUDA, ROCm, Vela, or Vitis AI.
• Experience with edge CPUs, GPUs, and NPUs, including Jetson, Raspberry Pi, Snapdragon, or Arm platforms.
• Linux, Docker, and CI experience on ARM64 and x86; mobile or web deployment on Android, iOS, or WebGPU.
• C++ skills, performance profiling, or experience with PyTorch and OpenCV optimization.
• Familiarity with cloud ML platforms such as SageMaker, Vertex AI, or Azure ML, and video pipelines like DeepStream or Triton.
• Experience creating talks, blogs, or demo videos; additional Spanish, Italian, or Mandarin language skills.

Cultural fit

At the company, we set bold goals and execute with speed, precision, and teamwork. We're driven by hard work, ambition, and resilience — building fast, learning constantly, and delivering measurable impact.

You’ll thrive here if you:

• Take ownership and deliver results with focus and accountability.
• Combine technical depth with a client‑first, hands‑on approach.
• Value excellence, grit, and creativity in equal measure.
• See collaboration as the foundation for meaningful progress.

Our culture is built around our core values:

• Relentless progress: Constant evolution and improvement.
• Strive for excellence: Perseverance and attention to detail.
• Actions, not words: Focus on delivering meaningful results.
• Act with urgency: Seize fleeting opportunities.
• Open access to all: Transparent communication and collaboration.

Learn more in our the company Handbook.

Compensation and benefits

• Competitive salary: Reflecting your experience and contribution.
• Equity packages: We want our success to be yours too.
• On‑site collaboration: Work with passionate builders in one of our global hubs.
• Flexible working hours: We value results over routines.
• Generous time off: 24 vacation days, your birthday off, plus local holidays.
• Tech & tools: Work on cutting‑edge AI projects that power millions of devices.
• Gear: Brand‑new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3.
• Learning & development: Dedicated budget for personal and professional growth.
• High impact: Your work will shape the future of vision AI.

Where and how you can work

• This role is on‑site at one of our global hubs: London or Madrid.
• Applicants must have legal authorization to work in the country of application.

We’re an in‑office team that values daily collaboration, energy, and connection. Being together helps us move faster, learn from one another, and celebrate wins as they happen.

Why join us

We’re not just building models — we’re building the ecosystem powering the future of vision AI. If you’re ready to build, move fast, and make an impact — this is your moment.

What we offer:

Cutting-Edge, Next-Generation AI Computer Vision Technology: Contribute to building cutting-edge computer vision AI models based on the YOLO framework.

Impactful Work: Shape the future of AI-powered solutions that transform industries.

Collaborative Culture: Join a talented and passionate team that values open communication and innovation.

the company Handbook

Comprehensive guide to our company's mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our (future) team members, collaborators, and community to align with the company' core principles.

Link: https://handbook.the company.com/

the company is an equal opportunity employer committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status.