AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Scientific Advisor, Computational Protein Design
Accelerate protein discovery and optimize properties like stability and binding with AI models that learn from experimental data to reduce wet lab cycles.
Benefits:
competitive salary
generous equity stake
wide range of benefits
career progression opportunities
Education Requirements:
PhD in bioengineering, bioinformatics, molecular biology, structural biology, or a related field
Experience Requirements:
5+ years of experience in a scientific role directly related to protein engineering in industrial biotech or biopharma
Other Requirements:
Proficiency in data analysis using Python and relevant libraries
Deep knowledge of the protein engineering R&D process
Demonstrated interest in AI-guided protein design approaches
Experience with customer-facing roles in biotech (nice-to-have)
Experience with applying machine learning to protein engineering (nice-to-have)
Responsibilities:
Advise on identifying protein optimisation projects
Translate scientific goals of projects into objectives for the Cradle platform
Understand customer assays and workflows
Ensure quality/formatting of customer data is suitable for machine learning
Train scientists to use Cradle’s platform
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Backend Software Engineer, Python
Accelerate protein discovery and optimize properties like stability and binding with AI models that learn from experimental data to reduce wet lab cycles.
Benefits:
competitive salary
generous equity stake
wide range of benefits
career progression opportunities
Experience Requirements:
Extensive industry experience in developing back-end systems in a modern cloud environment
Other Requirements:
The Python programming language and its ecosystem (FastAPI, uv, ruff, pyright, …)
Databases and big data systems
Production systems for machine learning applications
Building containerized backend systems (Docker, Kubernetes)
Highly-available distributed cloud systems
Responsibilities:
Designing and developing a service-oriented decoupled web application
Architecting ways to manipulate and store biological sequence data
Architecting APIs across which we interact with machine learning models
Providing technical leadership for software engineering process
Collaborating with biologists, machine learning experts, and scientists
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AI Engineer
Automate up to 30% of customer service workflows with AI agents that handle chat, email, and WhatsApp while keeping humans in control for complex resolutions.
Benefits:
Quarterly physical meetups in awesome locations
Flexible hours
Hybrid work
Competitive salaries
Stock option possibilities
Education Requirements:
Degree in computer science or comparable experience
Experience Requirements:
3+ years of professional experience building and deploying ML algorithms
Other Requirements:
Excellent programming skills in Python, including clean/modular and production-ready code
Deep understanding of LLM orchestration and multi-agent frameworks, preferably LangGraph
Understanding of cloud systems (preferably AWS)
Experience with Docker and Kubernetes is a plus
Team player, inquisitive personality, and a (good) sense of humor
Responsibilities:
Research and implement novel approaches to natural language understanding
Architect solutions that seamlessly integrate with 200+ systems
Iterate rapidly on techniques that deliver measurable business impact
Shape product innovation
Help define best practices in an emerging field
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Lead Software Engineer
Boost speed and energy efficiency by 100x for embedded chips using in-memory computing technology that eliminates data bottlenecks in AI-driven applications.
Experience Requirements:
7+ years building low-level software or compilers
Strong C++ and Python
A track record of shipping complete projects end-to-end
Experience with roadmaps and reviews
Hands-on with MLIR/LLVM passes, code generation, graph compilers, or high-performance DSP libraries
Other Requirements:
Ability to lead independently and produce complete development plans (Jira, MS Project)
Ability to deal with hardware-specific language and define clean APIs
Responsibilities:
Own software development from a management perspective and distribute workload
Ensure correct exchange of information between hardware and software teams
Deliver clean programming models, drivers, kernels, and examples
Define compiler development priorities and plan functionalities
Grow the team: hire, mentor, and set ownership boundaries
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Lead Custom Design Engineer
Boost speed and energy efficiency by 100x for embedded chips using in-memory computing technology that eliminates data bottlenecks in AI-driven applications.
Education Requirements:
MS or PhD in Electrical/Computer Engineering (or similar)
Experience Requirements:
7+ years in custom digital, memory, or analog design
Track record of end-to-end ownership of production-grade functional blocks
Experience leading a small team (mentoring, reviews, planning)
Other Requirements:
Deep understanding of high-performance circuit design on FinFET
Quality-first mindset
Responsibilities:
Own the product roadmap and define specs/PPA targets
Design & verify memory or datapath subsystems
Engineer for advanced nodes (FinFET and FDSOI)
Plan silicon correlation and analyze ATE data
Coach designers and grow automation (Python/Tcl)
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Senior Custom Design Engineer
Boost speed and energy efficiency by 100x for embedded chips using in-memory computing technology that eliminates data bottlenecks in AI-driven applications.
Education Requirements:
MS or PhD in Electrical or Computer Engineering
Experience Requirements:
5+ years in custom digital, analog, or SRAM design
Proven ownership through complete design cycles on sub-blocks
Strong understanding of circuit design on FinFET nodes
Other Requirements:
Ability to frame and communicate clear interfaces across teams
Responsibilities:
Design and verify embedded SRAM or custom digital blocks
Optimize for PPA on advanced nodes including variation closure
Define clean digital boundaries and timing budgets
Plan and run silicon correlation and analysis of ATE data
Partner with layout on floorplan and routing topology
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Standard Custom Design Engineer
Boost speed and energy efficiency by 100x for embedded chips using in-memory computing technology that eliminates data bottlenecks in AI-driven applications.
Education Requirements:
MS +4 years or PhD
Experience Requirements:
Hands-on sub-28 nm CMOS experience
Proven design ownership in datapath, memory/SRAM, or data-converters
Other Requirements:
Quality-oriented approach
Comfort working cross-functionally with digital/custom/layout
Responsibilities:
Design & verify mixed-signal circuits and subsystems for ASICs
Develop AI-related building blocks for in-memory computing
Partner across disciplines on interfaces and timing/power budgets
Contribute to IP-quality specifications and reusable collateral
Improve flows through scripting/automation (Python/Tcl)
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Senior Layout Engineer
Boost speed and energy efficiency by 100x for embedded chips using in-memory computing technology that eliminates data bottlenecks in AI-driven applications.
Experience Requirements:
5+ years in custom layout for analog/SRAM/custom-digital IP
Demonstrated quality on sub-28 nm nodes (FinFET/FDSOI)
Solid analog layout techniques: common-centroid, interdigitation, shielding
Working grasp of timing/IR/EM implications of layout
Other Requirements:
Clear communication and rigorous documentation skills
Responsibilities:
Plan & implement full-custom layouts for standard cells and SRAM
Provide feedback to design team to converge on power-aware layouts
Align with schematic owners and coordinate with MBIST/scan wrappers
Automate tasks and maintain checklists (Tcl, Python)
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Senior Digital Design and Verification Engineer
Boost speed and energy efficiency by 100x for embedded chips using in-memory computing technology that eliminates data bottlenecks in AI-driven applications.
Experience Requirements:
5+ years in digital design or verification for ASIC
Strong SystemVerilog RTL and basic understanding of UVM
Hands-on experience with either RISC-V or ARM architectures
Knowledge of synthesis basics and RTL impact on PPA
Other Requirements:
Clear technical communication and habit of turning designs into reusable components
Responsibilities:
Implement RTL: control blocks, AXI/AHB/APB bridges, DMA, and datapaths
Optimize for power with a power-driven mindset
Develop UVM testbenches (agents, sequencers, predictors, scoreboards)
Run gate-level sims (GLS) with SDF for critical paths
Write IP/user guides, register maps, and programming models
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Technical Lead – Physical Design (RTL to GDSII)
Boost speed and energy efficiency by 100x for embedded chips using in-memory computing technology that eliminates data bottlenecks in AI-driven applications.
Experience Requirements:
10+ years in ASIC physical design
2+ successful tapeouts as block/subsystem owner from synthesis to sign-off
Deep expertise in one complete tool chain (Synopsys or Cadence)
Strong MCMM STA and timing-closure experience
Experience with grid planning, IR/EM analysis, and fixes
Other Requirements:
Scripting for automation (Tcl, Python) and version control
Ability to lead activities independently and assume responsibility for major decisions
Responsibilities:
Define and maintain a modern RTL-to-GDS flow and methodology
Run synthesis, floorplan, partitioning, P&R, CTS, and routing
Create predictable PPA targets and track metrics
Integrate custom macros, SRAMs, and I/O
Recruit and performance-develop a 5+ engineer group
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Senior Engineer – Backend (Physical Design & Timing)
Boost speed and energy efficiency by 100x for embedded chips using in-memory computing technology that eliminates data bottlenecks in AI-driven applications.
Experience Requirements:
5+ years in ASIC physical design with a strong emphasis on timing closure and sign-off
Familiarity with STA tools and flows
Hands-on experience working with synthesis and place-and-route
Scripting ability to automate timing analysis and reporting
Other Requirements:
A collaborative approach with front-end, backend, and verification teams
Responsibilities:
Build, refine, and maintain timing constraints for blocks and top-level designs
Run STA across all relevant corners and modes to close setup and hold
Guide clock-tree strategy and debugging (skew, jitter, latency)
Lead timing and functional ECOs and track impacts
Automate timing checks, report generation, and regressions using scripting
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Senior Compiler Engineer
Boost speed and energy efficiency by 100x for embedded chips using in-memory computing technology that eliminates data bottlenecks in AI-driven applications.
Experience Requirements:
5+ years building low-level software or compilers
Strong C++ and Python
Hands-on experience with embedded systems and compiler design
Solid systems understanding: memory and concurrency fundamentals
Evidence of performance work (profiling, tracing, optimization) on embedded or accelerator targets
Other Requirements:
Comfortable reading hardware datasheets and working at the HW/SW boundary
Clear writing, good documentation habits, and a collaborative approach
Responsibilities:
Design and implement embedded software libraries and low-level runtime
Develop and maintain the compiler path (MLIR/LLVM passes, code generation, kernels)
Develop and refine a benchmarking and profiling framework
Strengthen build, test, and CI so releases are predictable
Collaborate with hardware, architecture, and customer-facing teams
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DevOps Engineer
Access your firm's entire institutional knowledge instantly with precision AI search and automated workflows designed specifically for legal professionals.
Experience Requirements:
Relevant work experience or project for this role
Other Requirements:
Valid permission to work in Switzerland (Swiss Citizen, EU/EFTA Citizen, Recent Swiss-University graduate, or Swiss Work Permit for Third-Country Nationals)
Willing to relocate to Switzerland
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Senior Embedded Platform Engineer (80-100%)
Enhance industrial fleet efficiency with infrastructure-free Visual AI and SLAM technology for seamless navigation of both autonomous and manual vehicles.
Benefits:
Unique opportunity to join Sevensense/ABB
Professional career development opportunities
Competitive compensation package
Modern office in the center of Zurich
Ambitious, supportive and international team
Education Requirements:
Masters degree in (Electrical) Engineering
Experience Requirements:
Experienced with Altium, KiCAD, Autodesk Fusion/EAGLE or similar CAD programs
Capable of simulating electric circuits in spice tools like LTSpice
Proficient with standard electronic lab tools like oscilloscopes and logic analyzers
Knowledge of C, C++, or Python
Other Requirements:
Basic understanding of the regulatory compliance process
Responsible and detail-oriented team player
Can-do mindset
Ability to take ownership of projects
Responsibilities:
Design prototypes for next generation products
Oversee prototype fabrication, including bring-up and debugging
Maintain the portfolio of Sevensense products and handle change requests
Validate designs through extensive testing of thermal, vibration, and EMC
Create test strategies and requirements for production PCBAs
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R&D Team Lead - Robotic Software Engineering (80-100%)
Enhance industrial fleet efficiency with infrastructure-free Visual AI and SLAM technology for seamless navigation of both autonomous and manual vehicles.
Benefits:
Culture of collaboration
Personal growth
Technical excellence
Lifelong learning
Tools and support
Education Requirements:
Bachelor’s degree in engineering, computer science or similar
Experience Requirements:
5+ years of industry experience in software development
2+ years of leadership experience through leading teams, projects or mentoring others
Other Requirements:
Solid English language skills
Experience with docker
Experience with development of HTTP based APIs
SQL, DevOps, cloud technologies
Familiarity with Linux and Debian-based distributions
Responsibilities:
Managing hiring, onboarding, and mentoring
Encouraging a culture of collaboration, personal growth and technical excellence
Taking ownership of and maintaining a diverse set of software systems
Working closely with robotic algorithms and project/product teams
Implementing standards and best practices for code quality, reproducibility, and security
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Director OEM Partnerships Germany
Scale vision AI across industries with a no-code platform that enables domain experts to label, train, and deploy high-performance computer vision models.
Benefits:
Dynamic entrepreneurial environment
Opportunities for fast personal growth
Young and open company culture
Focus on communication, partnership, and team building
Opportunity to join and scale the organization
Experience Requirements:
7+ years selling to Machine Builders/OEMs in the DACH region
Experience selling PLCs, Vision Systems, or Motion Control
Proven experience selling to Packaging & Logistics sectors
Other Requirements:
Knowledge of BOM and Aftermarket Services
Ability to talk to technical Head of Engineering
Understand 'Risk Transfer' to OEMs
Based in DACH (Munich, Stuttgart, or Zurich preferred)
Responsibilities:
Navigate BOM Economics in development and production phases
Sell Industrial Vision AI Infrastructure offering
Structure ROI-Based Deals with per-machine fees
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Business Development Representative in a fast-growing AI Startup
Streamline computer vision workflows from curation to deployment with self-supervised pretraining and data management tools designed for high-performance ML teams.
Benefits:
Full-time position with regular home office
Ownership and responsibility from day one
Competitive salary and various benefits
Stock options
25 days of paid vacation per year
Education Requirements:
Completed a Bachelor’s or Master’s degree in a relevant field (STEM or business)
Experience Requirements:
Experience with similar customer groups (e.g., in the AI field) is a plus
Other Requirements:
Excellent communication skills in German and English
Strong presentation, negotiation, and interpersonal skills
Strong business acumen and flair for B2B consultative selling
Passion for sales, technology, and innovation
Responsibilities:
Develop and execute customer acquisition strategies
Build and maintain strong customer relationships
Identify customer needs and suggest appropriate actions
Manage the entire sales-cycle from lead gen to closing
Manage marketing campaigns and digital content creation
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Business Development Internship @AI Startup
Streamline computer vision workflows from curation to deployment with self-supervised pretraining and data management tools designed for high-performance ML teams.
Benefits:
Potential full-time employment after internship
Office in the heart of Zurich next to central station
Company events, retreats, and offsites
Significant impact on startup’s progress
Education Requirements:
Currently enrolled in a Bachelor’s or Master’s degree in a relevant field
Other Requirements:
Excellent communication skills in German and/or English
Strong presentation skills
Strong business acumen and flair for B2B consultative selling
Exceptional negotiation and interpersonal skills
Advanced MS Office or G-Suite skills
Responsibilities:
Conduct market research to identify trends and competitive landscape
Identify and qualify new potential sales opportunities and leads
Assist in preparing presentations, proposals, and documentation
Support product management by analyzing customer feedback in CRM
Collaborate with strategy, marketing, and operations teams
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Senior Frontend Engineer
Extract and monitor unstructured web data at scale with AI-powered agents that automate code generation, navigation, and validation for enterprise teams.
Benefits:
Interesting and challenging work on hard problems
Minimal distance between the code you write and the customers who use it
A distraction-light, drama-free environment
Competitive salary and equity
Regular team events and off-sites
Experience Requirements:
Strong fundamentals in TypeScript, React, Next.js, Tailwind CSS
Other Requirements:
An eye for intuitive and polished user experiences
Effective communication skills
A strong product mindset
A strong sense of ownership
Responsibilities:
Build the interfaces where humans and AI collaborate on web scraping
Own features end-to-end, from wireframe to production
Work directly with customers to understand what they need
Have complete ownership over large areas of the product
Work directly with the founders and help shape the product direction
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Web Scraping Engineer
Extract and monitor unstructured web data at scale with AI-powered agents that automate code generation, navigation, and validation for enterprise teams.
Benefits:
Interesting and challenging work on hard problems
Minimal distance between the code you write and the customers who use it
A distraction-light, drama-free environment
Competitive salary and equity
Regular team events and off-sites
Experience Requirements:
3+ years of web scraping experience with Puppeteer, Playwright, or Selenium
Strong Node.js/Python skills and experience with Docker, Kubernetes, GCP
Anti-blocking expertise: proxies, browser fingerprinting, detection circumvention
System design skills for scalable, fault-tolerant data infrastructure
Experience with LLMs for data extraction
Other Requirements:
Customer-focused mindset with strong ownership and communication skills
Finance or hedge fund background
DevOps and CI/CD knowledge
Responsibilities:
Build and scale scraping infrastructure that extracts millions of data points
Solve hard problems: anti-bot detection, dynamic content, proxy rotation
Have complete ownership over what you build
Work directly with customers on their toughest extraction challenges
Work directly with the founders
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