machine learning engineer

ai engineer

senior software engineer

full stack engineer

platform engineer

robotics software engineer

HCLTech

City Of London, England
<br>Job Summary
<br><br>
<b>Job Title:</b> Physical AI Engineer (Robotics & Agentic Systems)
<br>We are looking for an engineer to build the Physical AI solutions using Robotics and edge devices on Google stack. You will integrate Deepmind Robotics model with Gemini 3 foundation models to create autonomous agents that perceive, reason, and act in dynamic industrial environments. Your work will involve moving Physical AI from simulation (MuJoCo-Warp) to production-grade hardware at scale.
<br><br>
Key Responsibilities
<br><br>
Key Responsibilities
<br><ul>
<li>Model Integration: Deploy Gemini Robotics-ER (Embodied Reasoning) models to enable robots to understand natural language instructions and physical causality.</li>
<li>Workflow Orchestration: Utilize the Gemini Enterprise Agent Platform to build agentic workflows that connect cloud-based reasoning with edge-based execution.</li>
<li>Simulation & Training: Use MuJoCo-Warp and G4 VMs (NVIDIA Blackwell) to run high-fidelity simulations, generating synthetic data to train robots on complex edge cases.</li>
<li>Hardware Abstraction: Work within Intrinsic Flowstate to develop hardware-agnostic "Skills" (robotic behaviors) that can be deployed across various robotic arms and sensors (Universal Robots, Foxconn, etc.).</li>
<li>System Optimization: Implement the JAX AI Stack (JAX, Flax, Optax) for efficient, accelerator-oriented computation on Google TPUs and NVIDIA GPUs.</li>
</ul>
Skill Requirements
<br><br>
Technical Requirements
<br>Category Stack Components
<br>Foundation Models Gemini 1.5/3.0, RT-2 (Robotics Transformer), Gemini Robotics-ER
<br>Software Platform Intrinsic Flowstate, ROS 2 (Robot Operating System), Python
<br>Compute & Infra Google Cloud Vertex AI, Google Distributed Cloud (Edge), TPUs
<br>Physics Engines MuJoCo-Warp, NVIDIA Isaac Sim integration
<br>Data & ML JAX, XLA (Accelerated Linear Algebra), Orbax (Checkpointing)
<br><br>
<b>#body.unify div.unify-button-container .unify-apply-now:</b> focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-

Principal Engineer

Anduril

<div><div><p>Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.</p></div><h1 class="jobSectionHeader"><b>
Mission Software Engineer - Maneuver Dominance</b></h1>
<h3 class="jobSectionHeader"><b>ABOUT THE JOB</b></h3>
<p>
The Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on building the next generation of autonomous capabilities by leveraging existing Anduril platforms like Ghost or Altius, bringing 3rd party platforms into Anduril's Lattice ecosystem, and developing breakthrough systems that will shape the future of the battlefield. We build Software services and Autonomy algorithms that solve some of the hardest problems facing our customers.<br>
<br>
As a Mission Software Engineer<b> </b>on the<b> </b>Maneuver Dominance team, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Engineers within Maneuver Dominance are driven by a &quot;Whatever It Takes&quot; mindset&mdash;executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.</p><br>
<h3 class="jobSectionHeader"><b>
WHAT YOU'LL DO</b></h3>
<ul><li>Own the feature development and software solutions that are deployed to customers</li>
<li>Write code to improve products and scale the mission capability to more customers.</li>
<li>Collaborate across multiple teams to plan, build, and test complex functionality.</li>
<li>Create and analyze metrics that are leveraged for debugging and monitoring.</li>
<li>Triage issues, root cause failures, and coordinate next-steps.</li>
<li>Work closely with Anduril and 3rd party vehicle hardware teams, as well as operational subject matter experts (pilots, UAV operators, etc.) to align on requirements during product development and iterate towards a final design.</li>
<li>Write and maintain core libraries and services that perform critical functions for collaborative teams of robots - for example, motion deconfliction and contingency management of fast mover air vehicles.</li>
<li>Travel up to 20% of time to build, test, and deploy capabilities in the real world</li>
</ul><h3 class="jobSectionHeader"><b>REQUIRED QUALIFICATIONS</b></h3>
<ul><li>Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics</li>
<li>2+ years of professional industry experience working with C++ or Rust programming languages.</li>
<li>Experience building software solutions involving significant amounts of data processing and analysis.</li>
<li>Ability to quickly understand and navigate complex systems and established code bases.</li>
<li>A desire to work on critical software that has a real-world impact.</li>
<li>A bias for action, extreme ownership, and the drive to see projects through from concept to production.</li>
<li>Eligible to obtain and maintain an active UKSV Security Clearance</li>
</ul><h3 class="jobSectionHeader"><b>PREFERRED QUALIFICATIONS</b></h3>
<ul><li>Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling &amp; simulation (M&amp;S) and physical systems.</li>
<li>Developing and testing multi-agent autonomous systems and deploying in real-world environments.</li>
<li>Feature and algorithm development with an understanding of behavior trees.</li>
<li>Developing software/hardware for flight systems and safety critical functionality.</li>
<li>Experience with distributed communication networks and message standards.</li>
<li>Knowledge of military systems and operational tactics.</li>
</ul><div><p>
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:</p><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Benefits</b></h3>
<p>
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. <i>For more information, </i><i>Explore Our Benefits</i><i>.</i></p><br>
<p></p>
<div>
<h3 class="jobSectionHeader"><b>Protecting Yourself from Recruitment Scams</b></h3>
<p>
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.</p>
</div>
<div><p>To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:</p>
<ul>
<li><p><b>No Financial Requests: </b>Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.</p>
</li>
<li><b>Please always verify communications:</b>
<ul><li>Direct from Anduril: If you receive an email from one of our recruiters, it will <i>only</i> come from an @anduril.com address.</li>
<li>Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.</li>
</ul>
</li><li><p><b>Exercise Caution with Unsolicited Outreach:</b> If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.</p>
</li>
<li><p><b>What to Do If You Suspect Fraud:</b> Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.</p></li><br>
</ul>
</div><h3 class="jobSectionHeader"><b>Data Privacy</b></h3>
<p>
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.</p><br>
<p></p>
<p>
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.</p></div></div>

Mission Software Engineer

Digital Waffle

<div>
 <p>
  <strong>
   AI Software Engineer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Onsite role in Soho
   </strong>
  </li>
  <li>
   <strong>
    &pound;80-120k depending on experience
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re on a mission to reinvent how AI understands people &mdash; not through CVs or data points, but through story, reasoning, and curiosity. We&rsquo;re building systems that listen, interpret, and understand
  <em>
   why
  </em>
  people say what they say. The goal? Create AI that perceives
  <strong>
   human potential
  </strong>
  , not just human input.
 </p>
 <p>
  If you love working on ideas that feel impossible &mdash; keep reading.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Role
  </strong>
 </p>
 <p>
  We&rsquo;re looking for an engineer who blends
  <strong>
   technical depth with creative instinct
  </strong>
  .
 </p>
 <p>
  You&rsquo;ll work directly with founders to shape the
  <strong>
   intelligence layer
  </strong>
  behind a new generation of human-aware AI &mdash; from LLM reasoning and semantic understanding to full-stack experiences that feel emotionally intelligent.
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you&rsquo;ve worked in a
  <strong>
   disruptive industry
  </strong>
  and built something brand new &mdash; not just improved what already existed &mdash; this will feel familiar.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Be Building
  </strong>
 </p>
 <ul>
  <li>
   Core intelligence systems: LLM orchestration, semantic reasoning, and voice understanding
  </li>
  <li>
   Fast, intuitive interfaces that make human-AI interaction feel alive
  </li>
  <li>
   Rapid prototypes that turn bold ideas into working products
  </li>
  <li>
   Scalable infrastructure for experimentation and learning
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   You&rsquo;ll Thrive Here If You
  </strong>
 </p>
 <ul>
  <li>
   Come from a
   <strong>
    disruptive, fast-moving environment
   </strong>
  </li>
  <li>
   Have helped launch or shape
   <strong>
    new ideas, products, or technologies
   </strong>
  </li>
  <li>
   Think in systems and build with elegance
  </li>
  <li>
   Believe speed drives creativity
  </li>
  <li>
   Are curious about human cognition and behaviour
  </li>
  <li>
   Value truth, craft, and collaboration over hierarchy
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You Bring
  </strong>
 </p>
 <ul>
  <li>
   Deep fluency in
   <strong>
    TypeScript
   </strong>
   and modern frameworks
  </li>
  <li>
   Experience with
   <strong>
    vector databases
   </strong>
   and
   <strong>
    embeddings
   </strong>
  </li>
  <li>
   Strength in
   <strong>
    LLM fine-tuning
   </strong>
   or multimodal reasoning
  </li>
  <li>
   Proven ability to ship full-stack products fast
  </li>
  <li>
   Strong
   <strong>
    Python
   </strong>
   skills
  </li>
  <li>
   Experience using
   <strong>
    Gemini
   </strong>
   would be preferred
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Culture
  </strong>
 </p>
 <p>
  Just a small, ambitious team that debates hard, builds fast, and chases ideas that matter.
 </p>
</div>


Artificial Intelligence Engineer

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.</li>
<li>1 year of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul><li>
Master's degree or PhD in Computer Science or related technical fields.</li><li>
2 years of experience with data structures and algorithms.</li><li>
Experience with C++, Parallel Computing, Blender.</li><li>
Experience developing accessible technologies.</li><li>
Proficiency in Python and experience with frameworks for large-scale data processing.</li><li>
</li></ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first-party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)</li>
<li>Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.</li>
<li>Lead high-volume synthetic datasets including metadata deliveries for XR and Platform and Devices (P&amp;D) projects.</li>
<li>Build modular toolkits for GenAI bulk inference and metadata extraction.</li>
<li>Develop end-to-end pipelines for fine-tuning in-house foundational models.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, GenAI Data Operations Research, XR

Humanoid

<div>
 <p>
  Here at Humanoid, we believe in a future where robots amplify human potential. That&rsquo;s why we&rsquo;ve set out on a mission to build the world&rsquo;s most capable, commercially-scalable, and safe humanoid robots. We&rsquo;re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we&rsquo;re growing the team to take it even further.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About The Role
  </strong>
 </p>
 <p>
  We're hiring a
  <strong>
   VLA Pre-training Engineer (Deep Learning)
  </strong>
  to join our Autonomy team based in London.
 </p>
 <p>
  In this role you will you will work on all aspects of training capable policies, be it pre-training of a base model on a diverse multi-embodiment corpus of trajectories, fine-tuning a policy to perform a specific task well, curating data collection processes or exploring productive ways to generate and use synthetic data. This is primarily a deep learning-focused role, so we are looking for experience solving real problems using modern neural networks, while experience in robotics isn&rsquo;t strictly required. However if you don&rsquo;t have such experience, be prepared that you&rsquo;d need to familiarize yourself with a new domain quickly.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Do
  </strong>
 </p>
 <ul>
  <li>
   Post-train policies via behaviour cloning and RL; own the full loop from data to deployment.
  </li>
  <li>
   Partner with the Data Collection team to drive collecting new data: specify what good data looks like, identify failure modes, ensure diversity and coverage.
  </li>
  <li>
   Work closely with external partners to ensure steady supply of high-quality pretraining-scale data.
  </li>
  <li>
   Run pre-/mid-/post-training on VLA stack; explore new modalities and architecture changes.
  </li>
  <li>
   Build and maintain continuous pipelines: ingest synthetic data and teleop logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining.
  </li>
  <li>
   Work with MLOps &amp; Data Platform teams to scale distributed training and optimize models for real‑time edge inference.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We're Looking For
  </strong>
 </p>
 <ul>
  <li>
   3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it.
  </li>
  <li>
   Deep hands‑on experience with at least one of: LLMs, VLMs, or image/video generative models &mdash; architecture, training, and inference.
  </li>
  <li>
   Experience with deep learning infrastructure: streaming datasets, checkpointing &amp; state management, distributed training strategies.
  </li>
  <li>
   Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code.
  </li>
  <li>
   Familiarity with modern software engineering practices.
  </li>
  <li>
   You document experiments clearly and communicate trade‑offs crisply.
  </li>
 </ul>
 <p>
  <em>
   Nice to have
  </em>
 </p>
 <ul>
  <li>
   Robotics or autonomous driving experience.
  </li>
  <li>
   Experience applying RL to LLMs or robotics.
  </li>
  <li>
   Experience with VLA (vision-language-action) models.
  </li>
  <li>
   Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization).
  </li>
  <li>
   Publications at top-tier deep learning conferences or equivalent open‑source contributions.
  </li>
  <li>
   Familiarity with OpenVLA, Physical Intelligence (&pi;) models, or similar open source VLA frameworks.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We Offer
  </strong>
 </p>
 <ul>
  <li>
   ompetitive equity: stock options with meaningful upside as we scale.
  </li>
  <li>
   30+ days time off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas&ndash;New Year shutdown).
  </li>
  <li>
   Private healthcare, including virtual and in-person care.
  </li>
  <li>
   Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
  </li>
  <li>
   Free daily breakfast, catered lunch, and snacks in-office.
  </li>
  <li>
   Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
  </li>
  <li>
   Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
  </li>
 </ul>
</div>


VLA Pre-training Engineer (Deep Learning)

<div><p>Here at Humanoid, we believe in a future where robots amplify human potential. That&rsquo;s why we&rsquo;ve set out on a mission to build the world&rsquo;s most capable, commercially-scalable, and safe humanoid robots. We&rsquo;re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we&rsquo;re growing the team to take it even further.</p><p></p><h1 class="jobSectionHeader"><b>
About the Role</b></h1><p>
We are looking for a Software Engineer to own the build system and CI infrastructure that every engineer at Humanoid depends on every day. This is foundational work: a slow, unreliable, or opaque build pipeline is a tax on the entire engineering organisation, and getting it right directly determines how fast we can ship robots.</p><p>
We are investing heavily in build infrastructure - hermetic, incremental, fully cached builds across a complex multi-target monorepo spanning firmware, robot software, simulation, and cloud - and we need someone to drive that work and own the system it produces.</p><p>
This is a deeply technical infrastructure role. You will work closely with every engineering team in the organisation, and the quality of your work will be felt by every person who opens a PR.</p><p></p><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h2><ul><li><p>
Build and maintain CI pipelines in GitHub Actions: incremental test selection based on affected targets, nightly full builds, and clear triage tooling when main goes red</p></li><li><p>
Instrument the build: CI telemetry, dashboards showing build and test times broken down by job type, branch, and author &mdash; so we stop flying blind on build health</p></li><li><p>
Define and enforce the policies that keep main green: merge queue configuration, PR gating, and the on-call process when broken builds block other engineers</p></li><li><p>
Own and maintain the remote build cache infrastructure, ensuring cache correctness, invalidation on environment changes, and read-only promotion from main only</p></li><li><p>
Own the developer environment story &mdash; local builds, dependency management, and the tooling that lets engineers iterate quickly without fighting their environment</p></li><li><p>
Maintain and evolve the dependency mirroring infrastructure (apt, PyPI, and other upstream registries) so that external package availability never blocks a build</p></li></ul><h2 class="jobSectionHeader"><b><br>
What We&rsquo;re Looking For</b></h2><ul><li><p>
Solid experience with build systems - ideally Bazel, but deep knowledge of CMake or similar is fine; the instincts matter more than the specific tool</p></li><li><p>
Experience designing and operating CI pipelines at scale: incremental testing, artifact caching, runner management, and keeping feedback loops short</p></li><li><p>
Strong understanding of hermetic build environments</p></li><li><p>
Comfort debugging complex build failures across multiple languages and toolchains</p></li><li><p>
Experience with dependency management and the tradeoffs between reproducibility, speed, and upstream risk</p></li><li><p>
Good instincts for developer experience</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Nice To Have</b></h2><ul><li><p>
Familiarity with ROS/ROS2 build tooling (colcon, ament, CMake)</p></li><li><p>
Familiarity with Kubernetes: self-hosted runners, ARC</p></li><li><p>
Experience with GitHub Actions at scale</p></li><li><p>
Background in robotics or embedded systems where build artifacts span multiple target architectures and deployment environments</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
What We Offer</b></h1><ul><li><p>
Competitive equity: stock options with meaningful upside as we scale.</p></li><li><p>
30+ days time off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas&ndash;New Year shutdown).</p></li><li><p>
Private healthcare, including virtual and in-person care.</p></li><li><p>
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.</p></li><li><p>
Free daily breakfast, catered lunch, and snacks in-office.</p></li><li><p>
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.</p></li><li><p>
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.</p></li></ul></div>

Platform Engineer - Build and CI

Neo4j

<div><div><div><b>About Neo4j:</b>
</div><div><p>Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world&rsquo;s largest graph community. Intelligence that works. Results that matter.</p>
<p>Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business.</p>
</div><div><b>Our Vision:</b>
</div><div><p>At Neo4j, we have always strived to help the world make sense of data.
</p><p>As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we&rsquo;re disrupting how organizations leverage their data to innovate and stay competitive.</p>
</div></div><div><p><b>The Role:</b></p>
<p>Join Neo4j's innovative Generative AI (GenAI) team, where we are advancing cutting-edge AI and machine learning solutions. As a Front-End Engineer, you will play a pivotal role in designing and delivering exceptional user experiences for our GenAI product portfolio. You will contribute to both established and new products as we expand our suite of GenAI offerings.</p>
<h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<ul><li>Develop and maintain intuitive user interfaces for GenAI products using components from our design system.</li>
<li>Stay informed on emerging UI/UX trends and best practices in GenAI applications.</li>
<li>Collaborate with cross-functional teams to propose innovative ideas that shape the evolution of our GenAI products and services.</li>
<li>Provide technical guidance and support to internal teams integrating GenAI features into their applications.</li>
</ul><h2 class="jobSectionHeader"><b>Minimum Qualifications</b></h2>
<ul><li>Demonstrated industry expertise in creating user-focused GenAI applications with intuitive UX design.</li>
<li>5+ years of professional experience building front-end applications with React, Tailwind CSS</li>
<li>Proficiency in front-end development best practices, including CI/CD pipelines, version control systems, and code quality standards.</li>
</ul><p>#LI-hybrid</p>
</div><div><div><b>Why Join Neo4j?</b>
</div><div><p>Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.</p>
<ul><li>Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.</li>
<li>Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history.</li>
<li>84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.</li>
<li>Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success.</li>
<li>Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform.</li>
<li>A recent Forrester Total Economic Impact&trade; Study cited Neo4j as delivering 417% ROI to customers.</li>
</ul><p>Research shows that members of underrepresented communities are less likely to apply for jobs when they don&rsquo;t meet all the qualifications. <b>If this is part of the reason you hesitate to apply, we&rsquo;d encourage you to reconsider and give us the opportunity to review your application. </b>At Neo4j, we are committed to building awareness and helping to improve these issues.</p>
<p>One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application.</p>
</div><div><b>Neo4j Values:</b>
</div><div><p>Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values:</p>
<p>(we)-[:VALUE]-&gt;(relationships)
<br>
(we)-[:FOCUS_ON]-&gt;(userSuccess)
<br>
(we)-[:THRIVE_IN]-&gt;(:Culture {type: [&lsquo;Open&rsquo;, &lsquo;Inclusive&rsquo;]})
<br>
(we)-[:ASSUME]-&gt;(:Intent {direction:&rsquo;Positive&rsquo;})
<br>
(we)-[:WELCOME]-&gt;(:Discussions {nature: &lsquo;IntellectuallyHonest&rsquo;})
<br>
(we)-[:DELIVER_ON]-&gt;(ourCommitments)</p>
<p>Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.</p>
More information at www.neo4j.com.</div></div></div><div></div>

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