Field Applications Software Engineer

Job summary

Implement and benchmark AI, machine-learning, and signal-processing applications on systems using the company’s technology, and build proofs of concept for prospective customers. Maintain simulation tools, collaborate with hardware and software teams to inform the technical roadmap, document results, and support customers through integration, workshops, and technical discussions.

Job details

Volver a todas las vacantes Field Applications Software Engineer Confidencial Descripción del Puesto The Company A fast-growing deep-tech organization developing next-generation compute technology. The team builds advanced hardware architectures with strong focus on innovation, efficiency, and technical excellence. The role You will join the applications team to demonstrate and deploy the company's technology on customer systems, across AI, signal-processing and cryptography workloads. The role sits at the intersection of machine learning, embedded systems, computer architecture, compilers, simulators and customer applications. It is hands-on and cross-functional, and combines engineering depth with direct customer contact. Key Responsibilities Implement and benchmark AI, ML and signal-processing applications on systems that include the company's technology. Build proofs of concept for prospective customers and partners, from model analysis to implementation, benchmarking and presentation of results. Work with hardware, architecture and software teams to spot missing features and feed them into the technical roadmap. Maintain the simulation tools used to evaluate performance and explore new hardware directions. Produce clear documentation, application notes, benchmark reports and technical presentations. Support customers integrating the technology into their products, through workshops, pre-sales and technical discussions. Requirements 3+ years of relevant industry or research experience, or an equivalent advanced technical background. Strong understanding of ML, deep learning and AI architectures, with hands-on PyTorch or TensorFlow. Good understanding of SoC and computer architectures, or embedded software. Comfortable turning technical papers, model implementations and hardware specs into working implementations. Clear technical writing and communication skills. Confident discussing technical requirements directly with customers, partners and engineering teams. Degree in computer science, electrical engineering, machine learning, applied mathematics, physics or a related field. Eligible to work in Switzerland (EU/EFTA citizens; no visa sponsorship). Nice to have Embedded AI or TinyML: deploying neural networks on resource-constrained devices. Knowledge of NPUs, GPUs, DSPs, systolic arrays or in-memory computing architectures. DSP workloads such as audio, filtering, FFTs, radar or communications. Performance modelling, architectural simulation or HW/SW co-design. What's On Offer CHF 120,000 base salary plus an annual equity bonus. A highly visible role in a small, fast-growing deep-tech team in Zurich. Direct impact on customers and on the product roadmap. Some international travel to customers and events. Process Intro call followed by three interviews. Ubicación Zurich Salario 125.000 - 130.000 €

What you’ll do

Implement and benchmark AI, machine-learning, and signal-processing applications on systems using the company’s technology, and build proofs of concept for prospective customers. Maintain simulation tools, collaborate with hardware and software teams to inform the technical roadmap, document results, and support customers through integration, workshops, and technical discussions.

Requirements

Requires at least three years of relevant industry or research experience, or an equivalent advanced technical background, along with strong knowledge of machine learning and AI architectures and hands-on PyTorch or TensorFlow experience. Candidates should understand SoC or computer architecture or embedded software, be able to turn technical papers and specifications into implementations, communicate clearly, hold a relevant degree, and be eligible to work in Switzerland without visa sponsorship.

Benefits

• Equity Bonus

Listed skills

• Machine learning · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Machine Learning
• Deep Learning
• Artificial Intelligence
• PyTorch
• TensorFlow
• SoC Architecture
• Computer Architecture
• Embedded Software
• Embedded AI
• TinyML
• Digital Signal Processing
• Performance Modeling
• Architectural Simulation
• Hardware-Software Co-Design
• Technical Writing
• Customer Communication

Job areas

• Engineering
• Software
• Technology
• Sales
• Science & Research