• Solve advanced CUDA and GPU programming problems involving parallel computing and performance optimization • Review, evaluate, and improve AI-generated CUDA, C++, and Python code • Optimize GPU kernels for throughput, latency, memory efficiency, and resource utilization • Work with CUDA libraries and frameworks such as Thrust, cuBLAS, and cuDNN • Debug and resolve issues related to CUDA kernels, synchronization, and memory management • Develop high-quality technical prompts, solutions, explanations, and evaluations for AI model training • Collaborate with AI researchers, engineers, and evaluation teams • Stay up to date with the latest developments in CUDA, GPU architectures, and performance optimization techniques

• Design, build, train, evaluate and improve advanced machine learning and LLM-based systems for patient and provider-facing products (e.g., conversational AI, personalization, user understanding, clinical decision support, chronic care management). • Own problems end-to-end: scope the problem with clinicians and product partners, build datasets and evaluations, iterate on modeling, and ship to production with the right monitoring and guardrails. • Develop robust evaluation frameworks — offline benchmarks, human-in-the-loop review, online experiments — that give us confidence our models are safe, accurate, and improving over time. • Build and improve the platform that lets the team move quickly: data pipelines, training and inference infrastructure, prompt and model management, and tooling for clinical reviewers. • Partner closely with clinicians, product, and engineering to translate medical and operational requirements into ML problems and ship measurable improvements to patient and clinician experience. • Set technical direction for your area, mentor other engineers, and raise the bar on engineering and scientific rigor. The scope of leadership scales with seniority. • Stay close to the literature and the rapidly evolving AI ecosystem; bring back what is most useful for our patients and our team.

Role Description Lead Developers act as the primary point of contact for our clients, ensuring that teams are successful in their delivery. In this role, you will bring a strategic mindset to projects and spend time collaborating and negotiating with clients to bring a technical vision to life. Having a balance of high-level and tactical mindsets is a must, as you will spend time both with clients and your teammates. At Thoughtworks, we believe in going above and beyond the standard and are committed to delivering best-in-class solutions that exceed our clients' expectations. Our standard engineering and delivery practices reflect our commitment to quality, and our team is always looking to innovate and improve. Lead Developers guide and coach their teams in their implementation and application. - You will champion and adopt best practices like writing clean and reusable code using TDD, pair programming and design patterns. - You will oversee or take part in the entire cycle of software consulting and delivery from ideation to evolution in production and everything in between. - You will use and advocate for continuous delivery practices to deliver high-quality software as well as value to end customers as early as possible. - You will design solutions and choose technologies that solve clients’ problems while working within constraints and make pragmatic tradeoffs. - You will collaborate with a variety of teammates to build features, design concepts and interactive prototypes and ensure best practices and UX specifications are embedded along the way. - You will apply the latest technology thinking from our Technology Radar to solve client problems. - You will apply a variety of languages and tools to your work and continue to code alongside Developers; you will not be post-technical in this role. - You will efficiently utilize and champion DevSecOps tools and practices to build and deploy software, advocating devops culture and shifting security left in development. - You will cultivate Thoughtworker growth and development by encouraging feedback and fostering an inclusive, supportive team culture. Qualifications - You are well-versed in two or more languages (Java, Quarkus, Kafka) and are comfortable with the latest Object-Oriented technology. - You have led software development teams using Agile, Lean and/or Continuous methodologies. - Knowledge of delivery approaches such as TDD, continuous integration, pairing and infrastructure automation. - Bonus points if you have knowledge of cloud technology such as AWS, Docker or Kubernetes. - You enjoy continuously learning and improving, whether it is through functional programming paradigms, event driven architecture, platform engineering or others. - Advanced English at C1 level. - Advanced Spanish. Requirements - You have experience influencing others and always advocate for technical excellence while being open to change when needed. - You bridge product and technology by helping to translate business needs to software requirements. - You have the ability to develop and execute a technical vision with a focus on business value. - You will act as a mentor for less experienced peers through both your technical knowledge and ability to inspire a team to deliver extraordinary impact together. - You’re resilient in ambiguous situations and can approach challenges from multiple perspectives.

Role Description Gradient is hiring a Staff or Senior Software Engineer (Data Processing) reporting to the CTO Sai and eventually managing part of their 15 person engineering team. You’ll write code every day, take ownership of significant parts of the platform, and help shape how the team works as it scales. This is a chance to join one of the fastest-growing companies in medical AI data infrastructure. Within six months you’ll start mentoring junior engineers and leading the technical design on new product areas. The role stays hands-on — this is not a step away from coding. Success requires a highly entrepreneurial mindset and care to uplift others on the team. This role is remote, open to candidates in US Eastern, Central, or Southern time zones. The team gets together in person regularly. What you’ll work on - Building and scaling the data pipelines that ingest, process, and serve medical imaging data. - Designing and shipping new product capabilities end-to-end. - Setting the engineering bar — code review, testing, architecture, deployment practices. - Talking to customers (radiologists, hospital data teams, AI researchers) and translating what you hear into technical decisions. - Mentoring junior engineers and helping the team grow as we hire. Qualifications - Min. 7 years of software engineering experience. - Ideally experience as a tech lead with a team of 4+ engineers. - Strong architectural instincts, both on a codebase and system design level. - Must be strong with Cloud frameworks (either GCP, AWS, Azure) and data pipelines (petabyte scale). - Python experience preferred. - Frontend experience is a plus, but not required. - Passionate about mentorship and leadership. - Experience in startups/scaleups a plus, especially as one of the early engineers who has seen a team grow around you. - You care about the customer. You don’t need a healthcare background, but you do need to want to understand the people using what you build. Application process - Submit your CV and Github. Any questions, email georgina@semata.ai. - First interview is with Semata, Gradient’s hiring partner. It is non-technical and meant to tell you more about the role and understand your motivations, achievements, ambitions. - The second and third interviews are with the technical team at Gradient (CTO / CDO). - Please note that we will prioritise the following criteria in inviting candidates to a first interview: seniority (7+ years), location, startup/scaleup exposure, proven ability to independently drive product and architecture decisions, level of rigour of prior work environments. Referral - Semata acts as Gradient Health's hiring partner for this role. We read patterns in your decision-making and achievements that signal fit for this role. If you have been contacted directly by a Semata team member, we have already interpreted strong alignment signals between you and this company, and you are highly encouraged to apply. - We promise thoughtful and genuine feedback along the way. - We pay for successful referrals. Please ensure your referral mentions your name in the application. Email georgina@semata.ai to find out more.