AI Jobs

Benefits:

• Attractive work-life balance

• Great benefits

• Welcoming environment

• Non-hierarchical environment

• Fun place to be

Experience Requirements:

• Experience from ERP implementations or major upgrades

• Strong understanding of end-to-end ERP processes

• Experience working with configuration and change management

• Understanding of databases, integrations and system architecture

Other Requirements:

• Excellent English communication skills

• Experience with SQL (highly valued)

• Familiarity with financial applications (advantage)

• Pragmatic and solution-oriented mindset

Responsibilities:

• Resolving complex transactional and data related issues

• Driving improvements, upgrades and regulatory adaptations

• Managing configuration and validating changes in test environments

• Coordinating external ERP partners

• Translating business requirements into sustainable solutions

Benefits:

• Attractive work-life balance

• Great benefits

• Welcoming environment

• Non-hierarchical environment

• Fun place to be

Education Requirements:

• MSc or higher in computer science, physics, mathematics or related field

Experience Requirements:

• Experience in computer vision, machine learning or related area

• Professional experience in Python software development

• Hands on experience training and iterating on ML models

Other Requirements:

• Experience performing structured data analysis using Python

• Experience working in agile development teams

• C++ or object oriented language experience (merit)

• Deep Learning deployment for embedded devices (merit)

Responsibilities:

• Design and develop production grade CV and ML algorithms

• Perform in depth analysis to understand system behavior

• Identify performance bottlenecks and propose improvements

• Implement and maintain production quality code in Python

• Collaborate with firmware and test engineers

Benefits:

• Attractive work-life balance

• Great benefits

• Welcoming environment

• Non-hierarchical environment

• Fun place to be

Education Requirements:

• Relevant degree in Finance/Business

Experience Requirements:

• 10-15 years of senior finance experience

• CFO/Deputy CFO role in a listed international company

• Proven responsibility for group reporting and investor relations

• Strong experience in capital markets, M&A, and financing

Other Requirements:

• Strong governance and compliance expertise

• Ability to lead global finance functions

• Business-oriented mindset

Responsibilities:

• Lead financial strategy, performance management and communications

• Overall responsibility for budgeting and forecasting

• Ensure accurate financial statements in accordance with IFRS

• Optimize company cash flow and working capital

• Evaluate and execute strategic projects including M&A

Benefits:

• Attractive work-life balance

• Great benefits

• Welcoming environment

• Non-hierarchical environment

• Fun place to be

Education Requirements:

• Bachelor's Degree in Computer Science, Electronic Engineering or equivalent

Experience Requirements:

• 3+ years of experience in the development of automotive software

• Good knowledge of C/C++ programming language

• Experience with real-time programming

• Experience with embedded toolchains and SDKs

Other Requirements:

• Fluent English and Japanese

• Experience with safety-critical SWs (ISO 26262)

• Knowledge of computer architectures

• Experience with imaging sensor configuration

Responsibilities:

• Design and develop embedded SW solutions on automotive platforms

• Work with machine learning researchers on SW architecture

• Contribute to internal tools for data acquisition and analysis

• Define and develop demo applications and proof of concepts

• Integrate SW solutions on customer target vehicle platforms

Benefits:

• Uncapped commission earning potential based on company performance

• Remote working (with the option of working in our office space in Manchester)

• Private Vitality medical insurance

• Private Pension with company contributions (up to 3% matched)

• 28 days holiday plus 8 UK bank holidays

Experience Requirements:

• Strong background in ETL/maintaining data pipelines

• Comfortable reading and writing code for ETL in Python

• Good technical ability with SQL (Postgres preferred)

• Basic understanding of cloud concepts (AWS preferred)

• Experience supporting data pipelines and analytical platforms

Other Requirements:

• Good communication skills

• Experience with manipulating audio files (desirable)

• Exposure to transforming call centre data (desirable)

Responsibilities:

• Maintain build schedules so that pipelines run

• Respond, Triage, and debug the pipeline when it is broken

• Be part of a team responsible for deploying new features to the product platform

• Reading code and writing code changes and/or modifying the monitoring set-up

• Work with client teams to understand data transformations required

Benefits:

• Offers Equity

Education Requirements:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or related field

Experience Requirements:

• 4+ years of hands-on ML compiler or systems engineering experience

• Demonstrated experience building and owning an end-to-end compiler stack

• Experience working with machine learning models, neural network graphs, and graph optimizations

• Comfortable collaborating with hardware teams to map novel architectural primitives

• Strong understanding of compiler performance trade-offs, profiling, and bottleneck analysis

Responsibilities:

• Work across the full stack with software, systems, and hardware teams

• Contribute to shaping the long-term compiler architecture and tooling strategy

• Design and implement parts of the compiler stack targeting our novel AI accelerator

• Build and evolve MLIR/LLVM based infrastructure

• Collaborate closely with hardware architects, microarchitects, and research teams

Benefits:

• Offers Equity

Experience Requirements:

• 5-8 years of frontend software engineering experience

• Strong frontend coding skills in TypeScript and React

• Experience crafting complex user experiences with a strong intuition for design

• Experience working with LLMs or building AI-powered applications

• Proven ability to learn continuously and work independently

Responsibilities:

• Building complete, integrated prototypes that bring AI capabilities to life

• Architecting and developing interactive workflow UIs

• Collaborating closely with product designers to ensure interface quality

• Owning APIs and orchestration patterns connecting frontends with ML services

• Partnering with ML researchers and users to translate requirements into features

Benefits:

• Offers Equity

Experience Requirements:

• 5-8 years of software engineering experience

• Experience building complex systems with a focus on reliability and performance

• Experience working with LLMs or building AI-powered applications

• Proven ability to learn continuously and work independently

• Skill and comfort working in a constantly evolving environment

Responsibilities:

• Building complete, integrated prototypes that bring AI capabilities to life

• Architecting and developing backend systems that support complex verification workflows

• Owning API contracts between frontend and backend systems

• Driving engineering roadmaps in collaboration with researchers and product managers

Experience Requirements:

• 5+ years of prior experience in DevOps, SRE, Systems Engineer, or similar role

• Practical experience designing and building cloud-based infrastructure on Linux

• Proficiency with AWS and Kubernetes

• Practical experience with infrastructure as code tooling (e.g. Terraform, OpenTofu)

• Experience with implementing CI/CD workflows

Other Requirements:

• Professional fluency in Korean and English

Responsibilities:

• Designing, building, and operating infrastructure for Normal’s products

• Collaborating with product and AI teams to define DevOps standards

• Deploying and managing Normal’s product stack in client environments

• Designing and implementing CI/CD pipelines for software and data workloads

• Implement logging, monitoring, and alerting best practices

Benefits:

• Offers Equity

Experience Requirements:

• Previous experience delivering production AI systems involving language models

• Solid software engineering skills with experience in distributed systems

• Proficiency in Python and modern ML frameworks (PyTorch, Hugging Face)

• Hands-on experience with prompt engineering, fine-tuning, and deploying LLMs

• Ability to wrangle, clean, and preprocess large-scale datasets

Responsibilities:

• Lead end-to-end AI development from initial concept through production deployment

• Design and implement LLM-powered solutions for technical documents

• Handle multi-modal complexity and explore multi-agent and RL approaches

• Design strategies to manage latency, output variance, and error handling

• Collaborate with product and engineering teams to embed AI capabilities

Benefits:

• Offers Equity

Education Requirements:

• PhD in CS/AI/ML (or equivalent research experience)

Experience Requirements:

• Strong Python and ML framework experience (PyTorch preferred)

• Demonstrated ability to turn research into working systems

• Experience designing eval harnesses and success metrics for agentic tasks

• Comfortable with data acquisition and curation from documents/logs

• Reproducibility mindset (tests, seeds, configs, logging)

Responsibilities:

• Design and implement multi-agent and RL approaches for code generation

• Build research prototypes that integrate with nectar

• Create evaluation suites including task specs and cost/latency dashboards

• Acquire and curate datasets from PDFs/logs/tables

• Analyze experiments with disciplined ablations and document results

Benefits:

• Offers Equity

Experience Requirements:

• 5+ years of experience in Digital Verification at a major semiconductor or EDA tool company

• Advanced proficiency in SystemVerilog and UVM methodology

• Proficiency in EDA verification tools (vManager, Xcelium, Jasper)

• Proficiency and application of Python or Perl scripting

• Proven expertise in end-to-end design verification flow

Responsibilities:

• Review AI-generated collateral to help shape product strategy

• Provide design verification for internal hardware projects

• Set up and evaluate EDA tools for internal usability

• Create testbench environments, assertions, and coverage from design documents

• Curate and annotate datasets for chip specification association

Benefits:

• Offers Equity

Education Requirements:

• BS, MS, or PhD in Electrical / Electronic Engineering, Computer Engineering, or Computer Science

Experience Requirements:

• Experience in digital logic design for AI/ML accelerators or compute architectures

• Deep understanding of modern AI algorithms and architectures (transformers, etc.)

• Knowledge of existing AI accelerator architectures (TPU, Cerebras, etc.)

• Proficiency in SystemVerilog for RTL design and verification

• Ability to translate algorithmic requirements into efficient hardware microarchitecture

Responsibilities:

• Define microarchitecture for novel AI accelerator blocks

• Write high-quality RTL in SystemVerilog for core logic and datapaths

• Analyze existing AI accelerator architectures and apply lessons learned

• Work with DV team on digital verification for assigned designs

• Work with physical design engineers to ensure RTL is performant

Benefits:

• Offers Equity

Experience Requirements:

• 5+ years of experience in communications, content strategy, or technical writing

• Outstanding writing and editing skills

• Ability to rapidly learn new domains like semiconductor hardware and thermodynamic computing

• Versatility to adapt writing style for different formats and audiences

• Meticulous eye for detail and commitment to accuracy

Other Requirements:

• Willingness to travel up to 25% of the time

Responsibilities:

• Create high-quality external content including blog posts and whitepapers

• Produce deep-dive technical narratives collaborating with engineers

• Prepare keynote speeches and slide decks for high-profile events

• Coordinate content for integrated marketing campaigns

• Review and edit written material to maintain unified voice and brand style

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• 2–4 years in technical support, success, or account management (SaaS preferred)

• Comfortable using technical tools (Linear, Pylon, Notion, Slack)

Other Requirements:

• Clear communicator

• Process-driven and extremely organized

• Analytical

• Thrives in fast-moving, startup environments

Responsibilities:

• Own onboarding and pilot success from kick-off through conversion

• Manage a high number of customer accounts in your book of business

• Translate customer feedback into actionable insights for product and engineering

• Track adoption and engagement metrics to surface early wins or risks

• Deliver white-glove support alongside the Support team

Benefits:

• annual bonus

• equity compensation

• medical benefits

Education Requirements:

• Bachelor’s or Master’s Degree in Computer Science or a related field

Experience Requirements:

• 6+ years of industry experience in high-availability cloud services

• Strong backend service engineering skills (Golang, Python, C++)

• Experience with databases and caches (Postgres, Redis)

Other Requirements:

• Experience with Kubernetes and AWS/GCP/Azure

• Experience building gRPC services

• Experience with IoT devices and Over-the-Air communication

• Experience with fleet management solutions

Responsibilities:

• Design complex systems from the ground up

• Embrace AI tools to add new features

• Build backend services running in AWS cloud

• Establish technology and infrastructure to scale products

• Collaborate with Security, Product, and Design stakeholders

Benefits:

• annual bonus

• equity compensation

• medical benefits

Education Requirements:

• Bachelor’s or Master’s Degree in Computer Science or a related field

Experience Requirements:

• 6+ years of industry experience in high-availability cloud services

• Strong backend service engineering skills (Golang, Python, C++)

• Experience with databases and caches (Postgres, Redis)

Other Requirements:

• Experience with Kubernetes and AWS/GCP/Azure

• Experience building gRPC services

• Experience with IoT devices and Over-the-Air communication

• Experience with fleet management solutions

Responsibilities:

• Design complex systems from the ground up

• Embrace AI tools to add new features

• Build backend services running in AWS cloud

• Establish technology and infrastructure to scale products

• Collaborate with Security, Product, and Design stakeholders

Benefits:

• annual bonus

• equity compensation

• medical benefits

Experience Requirements:

• 5+ years of professional software development experience

• Expert-level proficiency in Modern C++ (14/17/20)

• Experience with Python or Golang for automation

• Experience with systems integration and physical devices

• Expert knowledge of Linux environment

Other Requirements:

• Familiarity with ROS or middleware communication

• Experience with automotive protocols (CAN-bus, Ethernet)

• Real-Time Systems experience (FreeRTOS, QNX)

• Infrastructure-as-Code experience (Terraform, Docker)

Responsibilities:

• Architect and develop core HIL software interfaces

• Build scalable tooling, APIs, and cloud integration

• Lead technical design reviews and system architecture

• Optimize system performance and debug low-level issues

• Mentor junior and mid-level engineers

Benefits:

• annual bonus

• equity compensation

• medical benefits

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, IT, or related field

Experience Requirements:

• 8+ years of experience in IT, software or systems engineering

• 3+ years in leading engineering teams

• Experience administering and integrating SaaS applications

• Proficiency in a scripting language (Python, JavaScript)

Other Requirements:

• Experience in implementing and leveraging AI solutions

• Strong understanding of cloud-native architectures

Responsibilities:

• Develop and execute strategy for Corporate Engineering function

• Design and oversee a scalable ecosystem of enterprise applications

• Provide technical guidance and review system architecture

• Partner with stakeholders across Security, IT, and Engineering

• Lead the strategy and execution of enterprise AI solutions

Benefits:

• annual bonus

• equity compensation

• medical benefits

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, IT, or related field

Experience Requirements:

• 8+ years of experience in IT, software or systems engineering

• 3+ years in leading engineering teams

• Experience administering and integrating SaaS applications

• Proficiency in a scripting language (Python, JavaScript)

Other Requirements:

• Experience in implementing and leveraging AI solutions

• Strong understanding of cloud-native architectures

Responsibilities:

• Develop and execute strategy for Corporate Engineering function

• Design and oversee a scalable ecosystem of enterprise applications

• Provide technical guidance and review system architecture

• Partner with stakeholders across Security, IT, and Engineering

• Lead the strategy and execution of enterprise AI solutions