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Principal Software Engineer – Edge Systems & Real-Time Computing
Remote (U.S. Based) | Up to $200,000 Base + Equity

THE COMPANY
We’re working with a fast-growing, mission-led technology company tackling real-world industrial challenges using a combination of edge computing, real-time analytics, and computer vision. Their product helps frontline operators in safety-critical environments make faster, more informed decisions-helping prevent equipment failure and improve on-site reliability.

The business is well-funded, backed by experienced leadership, and already delivering results in high-stakes industries. With a strong foundation in place, they’re now seeking a senior systems engineer to provide technical leadership, hands-on support, and mentorship as they scale.

THE ROLE
This is a high-impact, senior engineering position focused on building performant, real-time systems that operate on hardware in the field. You’ll work closely with the Head of Engineering to shape architecture, review and write production-level code, and help mentor more junior engineers. The ideal candidate is a seasoned systems thinker who’s confident working across hardware/software boundaries and enjoys solving deep engineering challenges under real-world constraints.

Key Responsibilities:

• Design and build software deployed on embedded or edge hardware platforms

• Optimize real-time processing pipelines for performance and reliability

• Collaborate with other engineers on system architecture and integration

• Contribute to observability, testing, and deployment of edge systems

• Provide hands-on mentorship to a small, talented engineering team

• Own and refine best practices for high-quality, maintainable code

YOUR SKILLS & EXPERIENCE
We’re looking for someone with a strong background in systems-level engineering, who’s deployed production code to hardware (not just the cloud), and is passionate about writing reliable, efficient software.

Essential Requirements:

• Deep Linux knowledge, especially around OS-level performance and debugging

• Strong programming ability in Python (must be a core engineering language for you)

• Experience shipping software to real-world devices (e.g., IoT, robotics, industrial systems)

• Track record of solving complex engineering problems with clarity and quality

• Comfort working independently and guiding others technically

Nice to Have:

• Exposure to computer vision or sensor-based systems

• Experience with image/video processing at the edge

• Familiarity with modern deployment tools for embedded/edge software

• Cloud integration experience (ideally AWS IoT or similar platforms)

• Background in C++, Go, or systems languages alongside Python

Soft Skills:

• Proven ability to mentor and guide less experienced engineers

• Comfortable rolling up your sleeves and writing production code

• Enjoys collaborative problem solving in a close-knit team

• Has likely tried management but prefers to stay hands-on in a lead role

COMPENSATION & BENEFITS:

• Up to $200,000 base salary (top of band; slight flexibility for exceptional profiles)

• Meaningful equity package

• Remote-first, U.S.-based team

• Competitive benefits package

• Opportunity to build technology that makes a real-world impact in safety-critical environments

HOW TO APPLY
If you’re an experienced systems engineer looking for a hands-on technical leadership role at a company solving meaningful, real-world problems-apply now to learn more.

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Computer Vision Engineer – Fully Remote (Global)

We are working with a leading AI organisation who offer a unique and personalised gaming and role playing reality. They aim to push the boundaries of technology whilst focusing on ethics and user privacy.

As an AI Vision Engineer, you’ll play a pivotal role in developing cutting-edge image and video generation capabilities. You’ll work hands-on with generative models and computer vision systems, shipping production-ready features that elevate user engagement and creative expression.

What You’ll Do

• Collaborate cross-functionally with AI engineers, product teams, and creators to shape and deliver new visual AI features.
• Fine-tune diffusion-based models using techniques such as DreamBooth, LoRA, or textual inversion to embed novel concepts.
• Enhance and scale our image and video generation pipelines using state-of-the-art computer vision and generative modeling techniques.
• Design and implement advanced prompt engineering and conditioning strategies to ensure consistent, high-quality visual outputs.
• Evaluate and integrate open-source models such as Stable Diffusion, VideoCrafter, ModelScope, and Hunyuan.
• Build internal tools and libraries to streamline dataset preparation, experimentation, and quality control workflows.

Technical Skills:

• Bachelor’s or higher degree in Computer Science, Mathematics, Physics, or a related field.
• 3+ years of hands-on experience with generative vision models (e.g. Stable Diffusion, GANs, LoRA, DreamBooth, or video diffusion models).
• Proficient in Python, with practical experience using libraries such as PyTorch, Hugging Face Diffusers, Pillow, OpenCV
• Solid software engineering practices-modular code, testing, version control (e.g. Git), and collaborative development workflows.
• Experience working in cloud-based environments such as AWS or GCP for model training, experimentation, and data processing.

*Please note, some work will include NSFW images and videos*

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