Field Applications Software Engineer

Botic Partners; Zürich; Hybrid; CHF 102,000 - 138,000; Full time

Benefits offered by this job

Annual equity bonus

Zurich location

Some international travel

Job summary

Botic Partners in Zurich seeks a hands-on applications engineer to demonstrate and deploy our next-generation compute technology on customer systems, spanning AI, signal-processing and cryptography workloads.

You will operate at the intersection of ML, embedded systems, computer architecture and compilers, combining engineering depth with direct customer contact, building proofs of concept, benchmarking performance, and supporting customers through workshops and pre-sales.

Qualifications

• 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.

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.

Skills

ML architectures

PyTorch

TensorFlow

Embedded software

Technical communication

Education

Bachelor's degree in CS/EE/ML/Applied math/Physics or related field

Job description

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.