• Be the Go-To Technical Expert • Work closely with Supportworks customers to analyze project needs, problem solve and design/recommend tailored solutions. • Consult with design engineers, architects, and contractors to ensure job requirements are met with precision. • Promote the use of Supportworks products, providing guidance and support to our customer network. • Educate & Train Stakeholders • Develop technical documents, specifications, case studies, training materials, and more. • Share your expertise through webinars and in-person presentations for design professionals and customers. • Assist with training our network of installing contractors on how to be successful on commercial projects, including bidding, equipment needs, understanding contracts, etc. • Travel to trade shows and industry events to represent and spread awareness about Supportworks products and engineering methodologies. • Drive Product Innovation & Compliance • Collaborate with third-party agencies to secure and maintain product evaluation reports. • Work with vendors and testing labs on product sampling, documentation and validation. • Manage renewals and ensure compliance with industry standards.

• Apply Pavement Condition Index Ratings to Pavements. • Interpret client specific design methodologies and standards. • Create scopes of work for commercial, retail, and industrial pavements. • Develop repair budgets ranging from maintenance to capital projects. • Produce reports showing detailed analysis regarding client deliverables.

Role Description As a Full Stack Engineer, you’ll work on our enterprise AI SaaS product and own meaningful parts of the product end-to-end. This is a hands-on role with real responsibility. Specifically, you will: - Build and own user-facing product features from idea to production - Work closely with engineering, product, and design to plan, architect, and ship features - Design, build, and implement AI agents, backend services, APIs and web UIs - Partner with functional leaders across the organization (i.e., GTM, finance, customer support) to design and build internal tools to streamline operations and eliminate manual workflows Qualifications - Likely have 2-4 years of professional full-stack software development experience - You’re a heavy user of AI tools like Claude Code, Cursor or Codex - You stay up to date with the latest in AI, including new LLMs, agent frameworks, and tooling - You have strong product and design taste and a clear sense of what “good” looks like - You take ownership and are comfortable driving an entire part of a product - You manage your own time and priorities well - You’re happy moving across frontend and backend when needed - You communicate clearly and work well with others, especially when things are ambiguous - You’ve built and maintained production systems used by real users - You’re comfortable learning new tools and building things from scratch Requirements - Experience at early-stage startups or building your own products (bonus) - Have heard of Animations.Dev, Devouring Details, or InterfaceCraft (bonus) Benefits - Ship real products that get real usage, from customer-facing features to internal tools - Work cross-functionally. Partner with product, design, ops, GTM, data, and CS - Use the latest tech. Build with the latest coding tools and infrastructure - Move fast. Ship quickly and get rapid feedback from real users and teammates - Unlimited PTO with a minimum 20 days vacation policy Company Description We expect more than 9 to 5 — raw hours make an impact at our current stage. That said, we trust each team member to create a flexible work schedule that allows them to be most productive while accommodating other priorities outside of work. We also strongly encourage time off to recharge the batteries.

Role Description We are seeking GPU kernel optimization experts to contribute to a project with a leading AI lab. This opportunity is designed for freelancers with strong C++ skills, practical GPU programming experience, and the ability to improve kernel performance using profiler-guided analysis. You’ll help evaluate, optimize, and reason about GPU kernels across modern hardware environments. This is a contract-based opportunity for specialists who enjoy squeezing performance out of modern GPU architectures. - Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization - Use profiler metrics such as L2 cache hit rate, L2 throughput, occupancy, and related signals to guide kernel improvements - Review GPU kernel implementations and identify bottlenecks without requiring extensive background in the underlying algorithms - Write, modify, and reason about C++17, Python, and GPU programming code - Apply CUDA, HIP, shader programming, or related kernel programming expertise to improve performance outcomes - Document optimization decisions clearly, including when specific profiler metrics are or are not useful Qualifications - Available to work at least 20 hrs/wk - Fluent in core C++ features through C++17 - Working knowledge of Python and Git - Fluent in at least one GPU programming model, such as CUDA, HIP, Slang, HLSL, GLSL, or related kernel programming - At least 1 year of professional or graduate-level research experience working with GPUs - Strong understanding of GPU profiler performance metrics and how to use them to optimize kernels - Ability to optimize GPU kernels without needing deep prior context on every algorithm - Experience with CUDA, HIP, CUDA C++ Core Libraries, inline PTX assembly, or tensor core-level optimization is a plus - Experience optimizing kernels for NVIDIA Blackwell hardware is a plus - Familiarity with NSight Compute is a plus - Prior experience with GPU hardware organizations such as NVIDIA, AMD, or Qualcomm is a plus - Open-source contributions related to GPU kernel optimization are a plus Application Process - Submit your resume or relevant technical background to get started - Qualified applicants may be asked to complete a brief technical assessment or submit additional information - We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Contract and Payment Terms - You will be engaged as an independent contractor. - This is a fully remote role that can be completed on your own schedule. - Projects can be extended, shortened, or concluded early depending on needs and performance. - Your work will not involve access to confidential or proprietary information from any employer, client, or institution. - Payments are weekly on Stripe or Wise based on services rendered. - Please note: We are unable to support H1-B or STEM OPT candidates at this time.