20 beste Stellen als software engineer iii, ai/ml, gemini integration/customisation in zug zg – aktuell auf Personalsuche

Software Engineer - Infrastructure
Gravis Robotics —Zürich, ZH
- 100%
- Englisch
- Master
- AWS
11 Tage
AI Engineer | Zurich | Switzerland
Acquism SARL —Zürich, ZH
- Softwareentwicklung
- Python
Senior AI Engineer
RepRisk AG —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Master
- AWS
- Mentoring
Direkt bewerben
9 Tage
AIML - Research Scientist, Health
Apple —Zürich, ZH
- Forschungserfahrung
- Master
- Analysefähigkeit
CAD AI Machine Learning / Deep Learning Engineer – Coding Wizard ( 70% - 100% ) (remote/onsite)
Imnoo AG —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
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Google —Zürich, ZH
- 100%
- Bachelor
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- Python
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Tether Operations Limited —Zürich, ZH
- 100%
- Homeoffice
- Informatik
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- Englisch
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ANYbotics —Zürich, ZH
- Überstunden
- Informatik
- Doktorat
- Englisch
11 Tage
Research Scientist Intern, AI/ML, Core Ads Growth (PhD)
Meta —Zürich, ZH
- Doktorat
- Datenanalyse
- Forschungserfahrung
Associate Director, Forecasting Analytics
Carrier —Luzern, LU
- CHF 140’000 - CHF 280’000 pro Jahr
- 100%
- AWS
- Führungserfahrung
8 Tage
Machine Learning Engineer
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Master
Direkt bewerben
ML Platform Engineer | Zurich OR Fribourg | Switzerland
Acquism SARL —Zürich, ZH
- 100%
- Informatik
- Englisch
- Ohne Hochschulabschluss
Senior Software Engineer - Mission Control (m/w/d)
Consulteer —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Englisch
- C++
- Bachelor
Direkt bewerben
Temporal Interference Stimulation in the Brain: Modeling and Optimization (Software/Support Engineer)
IT'IS Foundation —Zürich, ZH
- Doktorat
- Englisch
- Master
Developer Relations AI (100% remote)
Tether Operations Limited —Zürich, ZH
- 100%
- Homeoffice
- Englisch
- Bachelor
- JavaScript
ML Infra Engineer
Flexion Robotics —Zürich, ZH
- 100%
- AWS
- Erfahrung mit Netzwerken
- Vor Ort
Direkt bewerben
Design Engineer
Cradle —Zürich, ZH
- 100%
- Hybrides Arbeiten
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11 Tage
Senior Engineer Manager Infrastructure & Tooling
Consulteer —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Informatik
- Management-Erfahrung
- Bachelor
Direkt bewerben
Machine Learning Engineer (Applied ML, B2B SaaS)
aspaara AG —Zürich, ZH
- Überstunden
- Doktorat
- Englisch
- Master
Direkt bewerben
Senior Software Engineer - Distributed Systems
Decentriq —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Bachelor
Direkt bewerben

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Software Engineer - Infrastructure

Gravis Robotics
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%
vor 11 Tagen

Qualifikationen

Englisch
Google Cloud Platform
Master
AWS
Docker
Bachelor
Hardware
Terraform
GitHub
Robotik
GitLab

Vollständige Stellenbeschreibung

At Gravis, we build high tech systems that give machine operators super human capabilities. To adapt in real time to changes in the environment the Gravis Rack fuses data from LiDAR, cameras, GNSS, and hydraulics into an autonomous control system. As our engineering team grows we need world-class infrastructure to support the full development lifecycle of these systems: from developer tooling to continuous integration, testing, and deployment at scale.

As our software engineer with focus on infrastructure, you will be driving the requirements gathering, development, rollout and operation of the related infrastructure. The systems you build and operate power every line of code, commit, and production deployment at Gravis. You will work at the intersection of our Platform, Autonomy, Perception and Interface teams to enable high velocity & quality of developer workflows. At the same time, you ensure the continuous deployment of software to a fleet of 20-ton robots all across the world.

Responsibilities

Design, build and operate end-to-end CI pipelines covering software builds, testing, linting, static analysis, versioning, releases, and deployment ranging from edge devices in the field to cloud infrastructure
Own Configuration Management and infrastructure provisioning across the software department
Collaborate closely with Autonomy and Perception engineers to understand requirements and translate them into reliable, scalable development environments for maximum development efficiency and velocity
Own, operate and enhance in-office Hardware-in-the-loop test setups
Own, operate and enhance fleet monitoring systems
Closely collaborate with ML Ops Engineers and Simulation Engineers on shared infrastructure

Required Qualifications

Bachelor's or Master's degree in Computer Science, Data Engineering, Electrical Engineering, or a related field
3+ years of hands-on experience in Software Engineering, DevOps, data engineering, or similar roles
Strong Software Engineering skills and solid experience with related tooling (e.g. clangd, cargo, pyrefly)
Proven experience building and managing CI pipelines for build, test and ML workloads (e.g. GitHub Actions or GitLab CI)
Proven experience with infrastructure as code (e.g. ansible, terraform)
Proven experience with monitoring and observability tooling (e.g. grafana, prometheus)
Hands-on experience with containerization (Docker).
Experience with cloud platforms (AWS, GCP, or Azure).
Experience with software packaging & versioning (docker images, debian packages).

Bonus Qualifications

Don't meet every requirement? We still want to hear from you. These are nice-to-haves, not dealbreakers:

Experience working with robotics data (point clouds, camera streams, timeseries data).
Experience with Robotics & DevOps related tooling (Foxglove, Prometheus, Grafana)
Experience with Hardware-in-the-loop testing setups

This is an opportunity to join a dynamic and versatile team, and to be part of a young startup that will revolutionize heavy construction. Gravis Robotics offers a fair market salary and a working location in the vibrant city of Zurich. As a forward-facing startup, we understand that work-life balance and flexibility are important considerations for many professionals: If you are a highly qualified candidate with the requisite skills and experience, we encourage you to apply and discuss your preferred working arrangement during the interview process.

Gravis is an equal opportunity employer. We are committed to building an inclusive and diverse team, and do not discriminate based upon race, color, ancestry, national origin, religion, sex, sexual orientation, age, gender identity, gender expression, disability, veteran status, or other legally protected characteristics.

We are an international team that is working to solve problems with a global impact: to facilitate efficient communication and collaboration, proficiency in English is a requirement for all roles.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Jetzt bewerben

Erweiterte Suche

software engineer iii, ai/ml, gemini integration/customisation Jobs in zug zg

Software Engineer - Infrastructure

AI Engineer | Zurich | Switzerland

Senior AI Engineer

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Machine Learning Systems Engineer

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Associate Director, Forecasting Analytics

Machine Learning Engineer

ML Platform Engineer | Zurich OR Fribourg | Switzerland

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Temporal Interference Stimulation in the Brain: Modeling and Optimization (Software/Support Engineer)

Developer Relations AI (100% remote)

ML Infra Engineer

Design Engineer

Senior Engineer Manager Infrastructure & Tooling

Machine Learning Engineer (Applied ML, B2B SaaS)

Senior Software Engineer - Distributed Systems

Ich möchte aktuelle Job-E-Mails für Stellen als software engineer iii, ai/ml, gemini integration/customisation in zug zg erhalten

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