Senior Software Development Engineer, Life Sciences

What You Do at AMD Changes Everything

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

Main Responsibilities

• Develop AI models, training systems, and tooling for key use cases in life sciences.
• Translate customer needs and technology developments into software designs and roadmap elements, owning technical design over development projects and customer engagements.
• Enable large-scale compute workloads in life sciences by designing AI solutions in e.g. medical imaging pipelines, drug discovery, genomics etc.
• Actively drive technical content in customer discussions and internal alignment with other AMD teams.

Collaboration with Others

• The position is part of the life sciences workstream at AMD Silo AI.
• Collaborate with Life Sciences AI developers, customers’ technical teams, domain experts, and business development to distill their knowledge and prioritize the insights to develop them as part of our roadmap.
• Work with multiple teams located in Finland and internationally in the organization.
• Communicate with clients evolving our technological roadmap to deliver on market needs.

Main Goals for First 6 Months

• Connect with local and international internal stakeholders and technical teams.
• Take ownership of the technological roadmap and align with R&D leadership.
• Understand and re-evaluate business KPIs for maximizing value.
• Lead client projects discovering product needs.
• Triage the needs for Life Sciences GPU workloads team to evolve Roadmap.

Ideal Candidate Profile

• Proven ability to design successful AI solutions and communicate the designs to technical teams, business development, and marketing, receiving consistent great feedback.
• Experience in developing deep learning models for life sciences (graph neural networks, transformers etc.), scientific AI (e.g. molecular models or imaging), or high performance computing in e.g. computational chemistry or protein binding.
• Hands-on experience in working with large-scale machine learning/AI systems, compute infrastructure and crafting groundbreaking proof-of-concept demonstrations.

Required Skills and Qualifications

• Development experience with C and Python.
• Experience with Docker, Containers, Kubernetes components & subsystems.
• Outstanding engineering skills in rapid prototyping and product development.
• MS or PhD or 5+ years of experience in Biomedical engineering, Computer Science, Electrical Engineering, or a related field (or equivalent experience).

Key skills/competency

• AI model development
• Life sciences applications
• Deep learning
• Scientific AI
• Medical imaging
• Drug discovery
• Genomics
• Technical design ownership
• Customer engagement
• High performance computing