Field Application Software Engineer

Intellectual Capital Resources Ltd; Zürich; On-site; CHF 110,000 - 150,000; Full time

Job summary

Intellectual Capital Resources Ltd is seeking a Field Applications Software Engineer to bridge AI/ML workloads and our compute-in-memory technology. You will analyse complex workloads, implement them on our platform, and benchmark performance for real-world customer use cases.

You will develop proofs of concept and run technical workshops, translating research papers into practical software solutions while collaborating across engineering and customer teams.

Qualifications

• 3+ years’ relevant industry or research experience or equivalent advanced technical background.
• Hands-on experience with PyTorch or TensorFlow.
• Good understanding of computer architecture, SoCs or embedded software.
• Ability to turn technical papers and specs into practical implementations.
• Strong analytical, problem-solving and technical communication skills.
• Comfortable engaging with customers and engineering teams.

Responsibilities

• Analyse AI, signal-processing and other workloads and implement them on the company’s technology.
• Benchmark performance and energy efficiency; use results in customer engagements and product development.
• Develop proofs of concept and contribute to technical workshops.
• Help customers understand how the technology can be integrated into their products.
• Work hands-on at the intersection of AI/ML, embedded systems and software with customers.

Skills

Machine Learning

Deep Learning

AI Architectures

Embedded Software

Problem Solving

Technical Communication

Cross-functional Skills

Education

Computer Science

Electrical Engineering

Machine Learning

Physics

Mathematics

Engineering

Tools

PyTorch

TensorFlow

Job description

I'm working with an innovative deep-tech company developing next-generation compute-in-memory technology for AI and other computationally intensive applications. They’re looking for a Field Applications Software Engineer to join their growing applications team and help demonstrate the technology on real-world customer workloads.

The role

You’ll sit at the intersection of AI/ML, embedded systems, computer architecture and software, working with customers and internal engineering teams to turn complex workloads into practical solutions.

You’ll analyse AI, signal-processing and other computational workloads, implement them on the company’s technology, benchmark performance and energy efficiency, and use the results to support customer engagements and product development. You’ll also develop proofs of concept, contribute to technical workshops and help customers understand how the technology can be integrated into their products.

It’s a hands-on role with plenty of variety, combining technical problem-solving with customer interaction and cross-functional collaboration.

What we’re looking for

• 3+ years’ relevant industry or research experience, or an equivalent advanced technical background
• Strong understanding of machine learning, deep learning and AI architectures, with hands-on experience using PyTorch or TensorFlow
• Good understanding of computer architecture, SoCs or embedded software
• Ability to turn technical papers, specifications and research into practical implementations
• Strong analytical, problem-solving and technical communication skills
• Comfortable working across disciplines and engaging directly with customers and engineering teams
• Degree in Computer Science, Electrical/Electronic Engineering, Machine Learning, Physics, Mathematics, Engineering or a related field

Why this role?

This is an opportunity to work on genuinely new computing technology, combining deep technical engineering with customer-facing applications work. You’ll have the chance to influence both real-world deployments and the evolution of the underlying product.