About the role

Together AI/Codesandbox is looking for a Senior Backend/Distributed Systems engineer to help us build and maintain the codebase that powers the Together AI Sandbox service. This is a role for engineers that are familiar with standard backend architecture, database design, and high-performance backend services. Our API platform is under constant load and scrutiny, so a key part of the role is experience and commitment to writing easily understood and well-tested code. You will be working closely with the product team to understand and document the functional needs of their product requirements, developing new code to solve new problems, as well as maintaining existing code to squash bugs.

• Location: Hybrid in Amsterdam, or Open to Relocation in the Netherlands
• Full-time: This means 40 flexible hours, Monday through Friday.

Responsibilities

• Design core, backend software components
• Perform architecture and research work for AI workloads
• Interface with other teams to incorporate their innovations
• Analyze and improve efficiency, scalability, and stability of various system resources
• Conduct design and code reviews
• Create services, tools and developer documentation
• Create testing frameworks for robustness and fault-tolerance
• Participate in an on-call rotation to respond to critical incidents as needed

Requirements

• 5+ years experience writing high-performance, well-tested, production quality code
• Bachelor's or Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Demonstrated experience in building large scale, fault tolerant, distributed systems like storage, search, and computation
• Expert level programmer in one or more of Golang, Java, Rust, or C/C++
• Demonstrated experience with relational (e.g., PostgreSQL) and non-relational (e.g., ClickHouse, Redis) databases
• Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources
• Excellent understanding of low level operating systems concepts including multi-threading, memory management, networking and storage, performance and scale
• Experience with Kubernetes/Nomad and containers is a plus
• Experience with virtual machines, microVMs, or sandboxing technologies (e.g., gVisor, Firecracker, QEMU) is a plus
• Experience with Ceph is a plus
• Experience with Elixir is a plus

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, and other competitive benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

About the Role

At Together.ai, we are building state-of-the-art infrastructure to enable efficient and scalable inference for large language models (LLMs). Our mission is to optimize inference frameworks, algorithms, and infrastructure, pushing the boundaries of performance, scalability, and cost-efficiency.

We are seeking an Inference Frameworks and Optimization Engineer to design, develop, and optimize distributed inference engines that support multimodal and language models at scale. This role will focus on low-latency, high-throughput inference, GPU/accelerator optimizations, and software-hardware co-design, ensuring efficient large-scale deployment of LLMs and vision models.

This role offers a unique opportunity to shape the future of LLM inference infrastructure, ensuring scalable, high-performance AI deployment across a diverse range of applications. If you're passionate about pushing the boundaries of AI inference, we’d love to hear from you!

Responsibilities

Inference Framework Development and Optimization

• Design and develop fault-tolerant, high-concurrency distributed inference engine for text, image, and multimodal generation models.
• Implement and optimize distributed inference strategies, including Mixture of Experts (MoE) parallelism, tensor parallelism, pipeline parallelism for high-performance serving.
• Apply CUDA graph optimizations, TensorRT/TRT-LLM graph optimizations, and PyTorch-based compilation (torch.compile), and speculative decoding to enhance efficiency and scalability.

Software-Hardware Co-Design and AI Infrastructure

• Collaborate with hardware teams on performance bottleneck analysis, co-optimize inference performance for GPUs, TPUs, or custom accelerators.
• Work closely with AI researchers and infrastructure engineers to develop efficient model execution plans and optimize E2E model serving pipelines.

Requirements

Must-Have:

• Experience:
  • 3+ years of experience in deep learning inference frameworks, distributed systems, or high-performance computing.
• Technical Skills:
  • Familiar with at least one LLM inference frameworks (e.g., TensorRT-LLM, vLLM, SGLang, TGI(Text Generation Inference)).
  • Background knowledge and experience in at least one of the following: GPU programming (CUDA/Triton/TensorRT), compiler, model quantization, and GPU cluster scheduling.
  • Deep understanding of KV cache systems like Mooncake, PagedAttention, or custom in-house variants.
• Programming:
  • Proficient in Python and C++/CUDA for high-performance deep learning inference.
• Optimization Techniques:
  • Deep understanding of Transformer architectures and LLM/VLM/Diffusion model optimization.
  • Knowledge of inference optimization, such as workload scheduling, CUDA graph, compiled, efficient kernels
• Soft Skills:
  • Strong analytical problem-solving skills with a performance-driven mindset.
  • Excellent collaboration and communication skills across teams.

Nice-to-Have:

• Experience in developing software systems for large-scale data center networks with RDMA/RoCE
• Familiar with distributed filesystem(e.g., 3FS, HDFS, Ceph)
• Familiar with open source distributed scheduling/orchestration frameworks, such as Kubernetes (K8S)
• Contributions to open-source deep learning inference projects.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in Amsterdam for our hybrid working model. This candidate would ideally be a Dutch speaker.  

As an ideal candidate, you will have:

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience
• [Placeholder for required security clearance]

You may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 426081

Your future role within QRT:

We are hiring a Senior Low-Latency Software Engineer to join a newly formed team building a high-performance trading platform from scratch.

This platform sits at the heart of QRT’s execution capabilities and is designed for ultra-low-latency, high-frequency trading. You will work on systems where performance is critical, contributing directly to how strategies are executed in live markets.

You will collaborate closely with quant researchers and traders to turn models into efficient, production-grade systems, while shaping the architecture and performance of the platform using modern C++ (C++23).

Responsibilities:

• Design, build, and optimize greenfield, high-performance distributed trading systems in C++, with a strong focus on latency, scalability, and reliability
• Partner closely with quant researchers and trading teams to translate strategies into production systems and contribute to the overall architecture

Your present skillset:

• 5+ years of experience in low-latency / high-performance C++ development
• Strong expertise in modern C++ (C++17/20/23) and systems programming
• Experience with multithreading, concurrency, and real-time systems
• Solid understanding of Linux systems and low-level performance optimization

Nice to have:

• Experience in electronic trading systems (market data, execution, or connectivity)
• Understanding of market microstructure
• Knowledge of networking (TCP/UDP) and system-level performance tuning
• Exposure to hardware acceleration (e.g. FPGA)
• Experience with Python for tooling or prototyping

Join our Trading Technology team in Amsterdam, where you’ll build real-time data systems that directly support Optiver’s trading strategies and market insights. As a\ Quant Developer, you’ll focus on creating scalable, high-performance platforms for real-time analytics, enabling traders to make precise, data-driven decisions across various products. At Optiver, technology drives our approach to market-making—whether optimizing for low latency response times or processing massive data volumes with efficiency, even in extreme market conditions. This role offers the chance to tackle complex technical challenges in a dynamic environment, collaborating closely with traders and researchers to advance smarter, more effective trading practices that keep Optiver at the forefront of the industry.

Who we are

At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.

What You’ll Do:

You’ll be focused on addressing complex challenges in real-time data analytics in high throughput data environments for trading. As a Senior Software Engineer in the Trading Technology team, you’ll develop and optimize scalable systems for data processing and analytics that handle vast volumes of market data. Your work will ensure low-latency data pipelines, high-throughput compute, and robust algorithms—essential for reliability and speed in our trading decision making

Key Responsibilities:

• Develop scalable, reliable data systems that support real-time analytics for trading and large-scale historical analysis

• Partner closely with traders and researchers to deliver actionable insights and meet dynamic data needs across ingestion, storage, and real-time processing

• Drive the development of our data lake and analytics frameworks, enabling immediate access to live and historical data

• Build real-time analytics capabilities to support rapid decision-making in trading operations

• Engineer for resilience and reliability, implementing automated recovery processes and safeguards for high-demand periods

Projects You Might Work On:

• Enhancing research frameworks to enable quick deployment of trading applications and strategy optimizations

• Expanding real-time analytics for high-frequency trading and predictive market insights

• Integrating machine learning models within data pipelines to improve predictive accuracy

Who You Are:

You’re a highly skilled engineer passionate about building sophisticated systems that drive data-driven trading decisions:

• 5+ years of experience in high-performance data systems and infrastructure

• Proficiency in C++ or Python, with a commitment to clean, maintainable code

• Strong understanding of operational excellence in areas like networking, database performance, and system resilience

• Experience with real-time analytics platforms

• Familiarity with big data tools and frameworks, such as Pandas, Polars, PyArrow, Kafka, PostgreSQL, and DeltaTable

• Background in trading or financial markets is a plus, but not required

WHAT YOU'LL GET:

• The chance to work alongside best-in-class professionals from over 40 different countries.
• Our performance based bonus structure is unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool fostering a truly collaborative environment to work in.

Alongside this you will get great secondary benefits such as 25 paid vacation days, fully paid first-class commuting expenses, training opportunities, discounts on health insurance, breakfast and lunch facilities, sports and leisure activities, Friday afternoon drinks and even weekly in-house chair massages.

Being highly international, we are accustomed to guiding expats through their relocation, offering competitive relocation packages and providing visa sponsorship where necessary.

HOW TO APPLY:

Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form.

Please note:

• We do not require any assistance from third-parties including agencies in the recruitment of this role

• We cannot accept applications via email’

DIVERSITY STATEMENT:

Optiver is committed to diversity and inclusion.

This is Adyen

At Adyen, we’re engineered for ambition. We empower our teams with the culture and support they need to own their careers. The people of Adyen are motivated problem-solvers who tackle unique technical challenges at scale, delivering innovative and ethical solutions to help the world’s best businesses achieve their ambitions faster, and we’re looking for a motivated Senior Machine Learning Engineer to join our team in Amsterdam.

Senior Machine Learning Engineer

The Customer Risk team is at the front line of this platform, building the next-generation systems required to assess and mitigate risk in real time. They are responsible for keeping our platform safe, while maintaining a seamless experience for our legitimate global merchants.

They operate at the critical intersection of high-stakes security and massive scale. By leveraging Adyen’s global payment flow, they are building a greenfield risk engine from scratch that moves beyond traditional detection to sophisticated, real-time entity assessment. We are looking for our first Senior Machine Learning Engineer to lead this effort and help architect the future of risk at Adyen.

In this role, you will:

• Lead – Act as the foundational ML Engineer for the Customer Risk team, taking the lead on the next-generation risk system from initial ideation and design to full production deployment.
• Build – Design and scale production-ready ML models for prediction, ranking, and embedding. You will own the end-to-end lifecycle, ensuring that our risk assessments are backed by robust, deep learning systems that can operate at Adyen’s massive scale.
• Architect – Develop the core ML infrastructure required to power our risk engine. You will build and manage the data processing pipelines, model evaluation frameworks, and deployment strategies that allow us to assess risk in real time with high reliability.
• Innovate – Bring our existing ML capabilities to the next level by introducing advanced software design and modular architecture to our modeling domains. You will bridge the gap between pure research and engineering excellence, ensuring our models are as maintainable as they are performant.
• Collaborate – Work closely with a high-performing product team and leadership to drive the risk roadmap. You will translate complex risk signals into clear business outcomes, directly impacting the safety and integrity of the Adyen platform.

Who You Are:

• You have an Engineering-First mindset. You treat Machine Learning systems as core production software, with 5+ years of experience ensuring that prediction, ranking, and deep learning models are as robust and reliable as any other part of the stack.
• You are a Software Craftsperson. You have 5+ years of experience navigating the full software development lifecycle, from initial testing to global launches. You are deeply proficient in Python, Java, or C/C++, focusing on writing clean, production-ready code that scales.
• You are an expert in the ML ecosystem. You have deep, hands-on experience with the standard Python data science toolkit—utilizing frameworks like TensorFlow, PyTorch, and XGBoost/LightGBM for modeling, and Spark, SQL (Trino), and Pandas for large-scale data manipulation.
• You are fluent in MLOps and Infrastructure. You don’t just build models; you operationalize them using MLFlow, Airflow, and Argo-workflows. You are comfortable working within modern infrastructure environments, leveraging Kubernetes and Docker for containerization, and ensuring system health through Prometheus and Grafana.
• You work end to end. You don’t just train models; you build the world they live in. You have 5+ years of hands-on experience designing end-to-end ML lifecycles, including data processing, model evaluation, deployment, and the fine-tuning required to keep systems performing at scale.
• You balance complexity with pragmatism. You possess 3+ years of dedicated software design and architecture experience. You understand how to build modular, maintainable systems in diverse modeling domains for the long-term.
• You are a Technical Leader. You take ownership of the roadmap, moving projects from ideation to production with confidence. You can translate high-level architectural needs into shipping solutions and have a proven track record of launching software products that deliver tangible impact.

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based in Amsterdam. Our culture is built on the foundation of in-person collaboration, where our teams work side-by-side to solve unique challenges and accelerate growth. 

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to build some of the world’s most powerful and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

The C++ Ecosystem team builds C++ support across CLion and IntelliJ IDEA. As AI drives a new era in software development, we’re working hard to ensure that our products integrate AI capabilities effectively and stay at the forefront of the AI-powered software development tooling industry.

We are seeking an experienced C++ Development Lead to drive the team’s efforts in delivering AI-enhanced products and building new AI-powered solutions.

In this role, you will:

• Join an engineering team with diverse levels of experience and expertise – with a focus on integrating AI into our existing products and working on new AI-powered offerings.
• Collaborate effectively with product managers, ML and QA engineers, stakeholders, and senior developers to shape and deliver the roadmap.
• Contribute to the product roadmap and participate in the feature design process.
• Constantly refine team processes and culture to ensure smooth delivery and agility.
• Act as a coach rather than a manager who’s detached from hands-on work – spending some time personally designing and working on technical tasks and software architecture.
• Rapidly assimilate extensive technical information and dive deep into mature codebases.
• Coach your team members on their technical and soft skills and provide them with feedback to help them improve every day.

We would be delighted to have you on our team if you have:

• Substantial previous experience with Kotlin and/or Java
• Bleeding-edge knowledge and interest in the current landscape of AI technologies used in software development tooling. You read the latest news, constantly try new tools, and know how agents work under the hood.
• A proven record of joining mature teams and making a major impact as an individual contributor.
• A proven track record of proposing and implementing radical solutions that move the needle on complex technical issues without sacrificing existing quality.
• The ability to communicate effectively with a diverse set of colleagues, including both managers and peers.
• A clear understanding of product management and its role in the development life cycle as a whole.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

The role

We seek an experienced Specialist Solutions Architect to support AI-focused customers leveraging Nebius services. In this role, you will be a trusted advisor, collaborating with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs.

You’re welcome to work on-site in Amsterdam or remotely from any other EU country.

Your responsibilities will include:

• Designing customer-centric solutions that maximize business value and align with strategic goals.
• Building and maintaining long-term relationships to foster trust and ensure customer satisfaction.
• Delivering technical presentations, producing whitepapers, creating manuals and hosting webinars for audiences with varying technical expertise.
• Collaborating with engineering and product teams to effectively prioritize and relay customer feedback.

We expect you to have:

• 3+ years of experience with cloud technologies in MLOps engineering, Machine Learning engineering or similar roles.
• Strong understanding of ML ecosystems, including models, use cases and tooling.
• Proven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments.
• Hands-on knowledge of frameworks like PyTorch or JAX.
• Excellent verbal and written communication skills.

It will be an added bonus if you have:

• Expertise in deploying inference infrastructure for production workloads.
• Ability to transition ML pipelines from POC to scalable production systems.

Preferred tooling:

• Programming Languages – Python, Go, Java, C++
• Orchestration – Kubernetes (K8s), Slurm
• DevOps Tools – Git, Docker, Helm
• Infrastructure as Code (IaC) – Terraform
• ML Frameworks and Libraries – PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We are seeking a Staff or Principal Applied AI Researcher to join a fast growing team building an agent native search platform - the web access layer for AI systems.

You can think of this as Google for AI agents: a system designed for machines, not humans. We are building agentic search, where AI systems actively plan, retrieve, evaluate, and refine information rather than simply returning results. As AI becomes the primary interface to the web, this layer will replace the role of traditional search engines.

We are designing how AI agents - not humans - retrieve, evaluate, and reason over web data in real time, under strict latency and reliability constraints. This means solving retrieval and ranking under entirely new access patterns and at significant scale, with systems operating over constantly changing, unstructured data and serving tens of thousands of production workloads 24 by 7.

This role comes with ownership over key parts of our applied AI research direction and system design, with a strong expectation of defining new approaches and shipping measurable impact in production.

What you'll work on:

• Designing agent native retrieval systems optimised for machine consumption rather than human search UX
• Building systems where LLMs iteratively plan, query, refine, and reason over results
• Developing ranking and retrieval approaches for multi step, agent driven workflows under real world constraints

Your responsibilites:

• Drive applied research and technical direction across retrieval and ranking systems
• Design and evolve multi stage retrieval architectures (query understanding, rewriting, reranking, iterative retrieval)
• Develop methods for grounding LLMs in real time web data at scale
• Define and implement new evaluation paradigms and metrics for agentic systems, where correctness is not reducible to clicks
• Lead experimentation on modern retrieval approaches (embeddings, hybrid search, reranking) and bring them into production
• Analyse trade-offs across relevance, latency, and cost at scale
• Work closely with engineering to deploy systems in high throughput, low latency environments
• Own ambiguous problems end to end and contribute to product and research direction
• Mentor engineers and help raise the technical bar of the team

Must haves:

• 8+ years of experience in applied AI, ML, or software engineering
• Proven track record of shipping ML or AI systems to production at scale
• Deep experience with search, retrieval, ranking, recommendation systems, or assistants
• Strong understanding of modern deep learning, especially transformers and embeddings
• Experience with LLM integrated or knowledge intensive systems
• Experience designing evaluation frameworks and metrics for ML systems
• Strong programming skills in Python and at least one of Go, C++, or similar
• Ability to operate in a fast moving, product driven environment with high ownership and autonomy

Nice to haves

• Experience with large scale search or recommendation systems
• Background in agentic AI systems (agents, tool use, autonomous workflows)
• Experience with RAG, multi step retrieval, or tool use
• Publications, open source, or similar signals of technical depth and impact

The role

We’re looking for a Senior HPC Cluster Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus on GPU computing, InfiniBand networks, and the KVM/QEMU stack. You’ll work closely with hardware virtualization and device emulation technologies, ensuring high performance and security in multi-GPU, HPC environments. The role involves analyzing, troubleshooting, and improving infrastructure to support new hardware, fine-tuning system performance, and automating fault detection and resolution in a complex system.

In this position, you will be responsible for:

• Tuning the performance of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments.

• Analyzing and troubleshooting the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions.

• Integrating new hardware into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM.

• Enhancing automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments.

• Configuring and managing GPU devices and InfiniBand fabrics, ensuring efficient and reliable operation.
  

We expect you to have:

• 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming).

• 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning).

• In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems.

• Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python).

It would be a plus if you have:

• Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking.

• Proven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads).

• Familiarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication.

• Background in Software-Defined Networking (SDN) and experience with HPC cluster networking.

• Understanding of QEMU/KVM virtualization and managing virtualized environments.

• Experience with deep learning frameworks such as PyTorch and TensorFlow, and their integration with HPC systems.

• Familiarity with collective communication libraries like MPI and NCCL for distributed computing. 

We conduct coding interviews as part of the process.

About the role:

Token Factory is a part of  Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale.

Responsibilities:

• Develop and optimize low-level kernels and runtime components for AI inference 

• Improve performance of inference engines GPU platforms 

• Profile and debug system-level and hardware-level performance issues 

• Integrate support for new hardware architectures (Hopper, Blackwell, Rubin) 

• Collaborate with ML and backend teams to optimize end-to-end execution 

Required Qualifications:

• Strong proficiency in C++, OR expertise in GPU programming with a focus on low-level high-performance coding and memory management 

• Experience in GPU programming or systems-level software development, e.g. operating system internals, kernel modules, or device drivers 

• Hands-on experience with profiling and debugging tools to identify performance issues on both CPUs and GPUs, and the ability to optimize code based on those findings. 

• Solid understanding of CPU/GPU architecture and memory hierarchy 

Preferred Qualifications: 

• Experience with GPU computing programming: CUDA, ROCm, CUTLASS, Cute, ThunderKittens, Triton, Pallas, Mosaic GPU 

• Familiarity with ML inference runtimes (e.g. TensorRT, TVM) 

• Knowledge of Linux internals, drivers, or compiler toolchains 

• Experience with tools like perf, VTune, Nsight, or ROCm profiler 

• Familiarity with popular inference engines (e.g. such as vLLM, sglang, TGI) 

We conduct coding interviews as part of the process.

The Role

Your responsibilities will include:

• Ensure fault-tolerance, scale, and uninterrupted operations for the service.
• Use cutting-edge cloud technology to solve a variety of infrastructure problems.
• Implement and improve CI/CD processes.

We expect you to have:

• Solid experience with programming languages (like Go, Python, or C++);
• Solid understanding of classic algorithms and data structures;
• Commercial experience with and deep understanding of Unix systems and network technology;
• Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).

It will be an added bonus if you have:

• Desire to be involved in backend development;
• Experience designing, developing, and running high-load distributed systems;
• Commercial experience with a variety of cloud platforms.

We conduct coding interviews as part of the process.

The Role

Your responsibilities will include:

• Ensure fault-tolerance, scale, and uninterrupted operations for the service.
• Use cutting-edge cloud technology to solve a variety of infrastructure problems.
• Implement and improve CI/CD processes.

We expect you to have:

• Solid experience with programming languages (like Go, Python, or C++);
• Solid understanding of classic algorithms and data structures;
• Commercial experience with and deep understanding of Unix systems and network technology;
• Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).

It will be an added bonus if you have:

• Desire to be involved in backend development;
• Experience designing, developing, and running high-load distributed systems;
• Commercial experience with a variety of cloud platforms.

We conduct coding interviews as part of the process.

The Role

Your responsibilities will include:

• Ensure fault-tolerance, scale, and uninterrupted operations for the service.
• Use cutting-edge cloud technology to solve a variety of infrastructure problems.
• Implement and improve CI/CD processes.

We expect you to have:

• Solid experience with programming languages (like Go, Python, or C++);
• Solid understanding of classic algorithms and data structures;
• Commercial experience with and deep understanding of Unix systems and network technology;
• Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).

It will be an added bonus if you have:

• Desire to be involved in backend development;
• Experience designing, developing, and running high-load distributed systems;
• Commercial experience with a variety of cloud platforms.

We conduct coding interviews as part of the process.

The role

We’re looking for a Senior Backend Engineer to join our Storage Virtualization Team, building a distributed, fault-tolerant storage system for Nebius’ hyperscaler cloud.
You’ll work on high-performance block and filesystem storage that delivers sub-millisecond latency, millions of IOPS and terabytes per second of throughput, even in the face of hardware failures.

• Virtualization: virtio-blk and virtio-fs, QEMU and vhost-user, performance-critical I/O paths
• Networking: high-throughput VM-to-storage transport over TCP and RoCEv2 (RDMA)
• Storage systems: replication, consensus, self-healing, and data migration

• 6+ years of professional software engineering experience
• Strong knowledge of C++
• Solid understanding of algorithms and data structures
• Basic knowledge of operating system internals (I/O, memory, scheduling)
• Ability to write reliable, maintainable code and debug complex systems
• Team-oriented mindset and fluency in English

We conduct coding interviews as part of the process.

The Product

In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.

We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.

The Role

We are looking for a Senior Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption.

In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly.

In this position, your responsibility will be to

• Design, implement, and operate core runtime services for serving search queries at scale
• Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets
• Develop systems that maintain performance and predictability under high load
• Optimise CPU, memory, and data access patterns in performance-critical paths
• Ensure reliability, observability, and predictability across production services
• Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves
• Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns
• Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency
• Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals
• Support experimentation and iteration through controlled rollouts and rigorous benchmarking

You may be a good fit if you:

• Have 5+ years of experience as a software engineer working on production backend systems
• Have strong hands-on expertise in C++ or Rust in real-world, high-load services
• Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints
• Understand performance at a systems level — CPU, memory, networking, and data access
• Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary
• Think end-to-end about request flows rather than staying within isolated components
• Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires
• Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings

Strong candidates may also have experience with:

• DBMS internals (open source or SaaS) and cloud infrastructure
• High-load web applications or large-scale APIs
• Performance-critical systems such as trading platforms or real-time data pipelines
• Low-level performance tuning and hardware-level optimisation
• Open-source contributions or active involvement in the engineering community
• Competitive programming or CTF participation
• SHAD or similar advanced technical programmes
• Conference talks or technical publications

We conduct coding interviews as part of the process.

The role

The Compute Node team builds services for managing Virtual Machines running on GPU servers, integrating with disk management, virtual and InfiniBand networks. The team is also responsible for developing the Virtual Machine Scheduler that operates across clusters with thousands of servers and tens of thousands of GPUs, spanning multiple data centers in several regions.

We expect you to have: 

1. Containerization & Orchestration

• Experience with Kubernetes not only for deployment but for development is highly valued.

2. Virtualization

• KubeVirt and QEMU/KVM familiarity is a high plus.

3. Linux & System-level Understanding

• Solid knowledge of internal OS architecture, performance considerations, process isolation and resource management.

• Knowledge of POSIX, sysfs, system calls, and file systems.

• Familiarity with server architecture, PCIe devices, NICs, and kernel drivers.

4. Hardware Acceleration

• Experience or strong interest in working with GPUs, DPUs, or ARM architectures is desirable.

• Familiarity with the NVIDIA DOCA Software Framework will be an advantage.

5. Go, C++ Proficiency

• Knowledge of at least one of these languages, ready to learn or work with the others as needed.

• Strong grasp of concurrency, debugging, and profiling techniques.

We conduct coding interviews as part of the process.

The role

We’re looking for a Software Engineer with strong C++ expertise to join the team building and operating Nebius Data Platform — a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products.

Nebius Data Platform is a single multi-tenant ecosystem based on YTsaurus — instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform.

Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense.

At scale today, this includes~500 servers, ~20k CPU cores and ~10 PB of compressed data in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute.

What’s inside the platform

You’ll work on a system that includes (and ties together):

• Distributed Storage (Cypress): transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations.
• Compute & ETL: a cluster-wide job scheduler (tens of thousands of cores), MapReduce, YQL for SQL-like data processing, and SPYT (Spark over YTsaurus) for modern data engineering.
• Interactive analytics (CHYT): ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place.
• Dynamic Tables: low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores.
• Orchestracto: workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native).

What you’ll do

We’re looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.

In this role, you will:

• Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
• Build and evolve platform-level capabilities: platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
• Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
• Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.

Example projects

• Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10–100x cluster growth.
• Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
• Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
• Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
• Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.

Tech stack

• Core: modern C++ (C++20, async + multithreaded primitives)
• Services & tooling: Go and Python (microservices, utilities, integration tests)

What we expect

• 5+ years of software engineering experience.
• Strong C++ skills (you’ll write core code).
• Working knowledge of Python and/or Go (you don’t have to be expert, but should be comfortable navigating them).
• Experience developing and/or operating high-load, distributed services.
• Production mindset: ability to use SSH, read logs/metrics/traces, and debug distributed systems behavior.
• Solid CS fundamentals: algorithms, data structures, concurrency basics.

Nice to have

• Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems).
• Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering.
• Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs).

We conduct coding interviews as part of the process.

Summary:

Location: Amsterdam
Duration: 3 months
Start date: June 2026 
Compensation: Paid
Eligibility: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist
Work authorization: Permitted to work in the job’s location

Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400+ employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

Your responsibilities will include

• Operation:
  • assist, where possible in day-to-day SRE operations tasks in NetInfra
  • deploy tested and approved changes following clear instructions
• Project work:
  • execute small and well-defined tasks from the backlog
  • together or instead: work on small and well-defined SRE project from backlog
  • create tests for their changes/project (if applicable)
  • write technical documentation about their work
  • track and update Jira tasks according to their progress
• Learning and growth:
  • actively study network and system fundamentals: Ethernet and ip networks, routing, Linux Kernel, eBPF, traffic control, ipvs, dpdk
  • learn internal tools, workflows and operational standards
  • learn container and platform fundamentals: Kubernetes (core architecture and networking), Helm, Terraform
  • learn configuration management and automation basics

• demonstrate strong interest and foundational knowledge in cloud providers, operations, networking, hardware, and software
• programming experience in any of Python, Go or C++
• basic understanding of the Network (ethernet, ip, tcp/udp, routing fundamentals)
• familiarity with Git
• basic understanding of containers, Kubernetes and IAC (Infra As Code) approach

What we offer

• Competitive salary and comprehensive benefits package
• Mentorship from experienced AI, ML, and cloud infrastructure professionals
• Hands-on experience with real customer workloads and production systems
• Opportunities for professional growth within Nebius
• A dynamic and collaborative work environment that values initiative and innovation
• Opportunity to be considered for a full-time role after the Early Talent Program

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

The role

We’re looking for a Backend Engineer to contribute to the development of our hyperscaler platform.

Your responsibilities will include:

Develop fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

We expect you to have: 

• 5+ years of professional software engineering experience;
• Knowledge of C++ programming language;
• Knowledge of Python, Java, and Go is a plus;
• Ability to write reliable code and dig into complex problems;
• Teamwork-oriented approach;
• Fluency in English.

Nice to have:

Experience designing high-load and scaling services.

We conduct coding interviews as part of the process.

The Product

In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.

We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.

The Role

We are looking for a Senior Software Engineer to work on the indexing and data processing layer of a novel search engine tailored for agentic AI consumption.

In this role, you will focus on building systems that ingest, process, and organise massive volumes of data into efficient, queryable structures. You will work primarily on offline and nearline pipelines, ensuring that data is fresh, complete, and efficiently accessible by downstream retrieval systems. You will operate in an environment where throughput, scalability, and correctness are critical — designing systems capable of handling tens of gigabytes per second across continuously evolving datasets.

In this position, your responsibility will be to

• Design, implement, and operate large-scale indexing systems and data pipelines that sit at the core of our search infrastructure
• Build ingestion workflows for internal and external data sources, including web-scale crawling and structured feeds
• Develop and optimise indexing strategies balancing performance, freshness, and resource efficiency
• Work on storage formats, compaction strategies, and update mechanisms to keep data accessible and current
• Ensure reliability and predictability of pipelines under high-throughput conditions
• Build well-tested components with clear responsibilities and interaction contracts, while remaining flexible as the system evolves
• Define and implement observability primitives, including structured logs, metrics, and data quality signals across offline and nearline pipelines
• Monitor throughput, resource usage, and cost, and drive optimisations when business needs require it
• Collaborate with runtime and ML teams to ensure indexing outputs meet retrieval and ranking requirements
• Enable safe experimentation on indexing strategies and data processing logic through controlled rollouts and clearly defined quality signals

You may be a good fit if you:

• Have 5+ years of experience building production backend or data systems
• Have strong hands-on experience with Go in real-world, high-load services (experience with other systems languages such as C++ or Rust is a plus)
• Have worked on systems at significant scale — such as 10k+ RPS or 10+ GiB/sec throughput
• Have experience building or operating databases, data planes, or large-scale data pipelines
• Understand distributed systems fundamentals, including fault tolerance, failure modes, and horizontal scalability
• Have operated your own systems in production: handled incidents, made real-world tradeoffs, and understand what running data infrastructure at scale truly involves
• Think in terms of systems and data flows rather than isolated components, reasoning end-to-end about how data moves through the stack
• Can make pragmatic decisions under pressure without compromising long-term system health
• Collaborate effectively across infrastructure, ML, and product teams, communicating clearly in cross-functional settings

Strong candidates may also have experience with:

• Distributed data processing frameworks such as Spark, Flink, MapReduce, or Beam
• Content systems including web crawling, scraping, proxying, or anti-bot infrastructure
• Ad tech, social networks, or other large-scale content platforms
• DBMS internals (open source or SaaS) and cloud infrastructure
• Open-source contributions or active involvement in the engineering community
• Competitive programming or CTF participation (ICPC, IOI, or similar)
• SHAD or similar advanced technical programmes
• Conference talks or technical publications

We conduct coding interviews as part of the process.

The role

Our CloudGate team is responsible for the software side of external network connectivity in our Cloud. We're building a traffic delivery system for a variety of scenarios: IPv4 connectivity, Cloud Interconnect, Egress NAT, and a network load balancer. They serve tens of millions of packets per second.

We have a control plane microservice architecture with gRPC transport and our own Database as our data warehouse.

What we do:

• Increase service scalability
• Developing service functionality with support for service endpoints and expansion of health check types
• Improve the internal architecture, optimizing interaction with related services 

In this position, your responsibility will be to:

• Developing a data plane for Nebius Cloud network services
• Improve service performance and reliability
• Automate complex cross-service interaction scenarios
• Perform load testing for services

We expect you to have:

• Capable of writing reliable, high-performance code
• Proficient in C and ready to learn Go/C++
• Familiar with routing network traffic

It would be an added bonus if you had:

• Worked with VPP, DPDK, and the Linux kernel network subsystem
• Well-versed in virtual networks and overlays, SDN, NFV, DPI, network protocols, routing and tunneling, BGP, and MPL

We conduct coding interviews as part of the process.

The role

The VPC (Virtual Private Cloud) team builds and operates the core networking layer of our cloud platform. We enable virtual machines to communicate reliably by abstracting them from the underlying physical network, providing seamless IP-based connectivity even as workloads move across the datacenter.

Our team designs secure, isolated private networks for customers, connects them to the public internet, and delivers essential networking services such as load balancers, firewalls, and security groups. Because nearly every cloud application depends on networking, VPC is a foundational service for the entire platform.

Stability and resilience are our top priorities—we engineer systems to remain reliable and operational even when parts of the cloud experience failures.

What we do:

• Increase service scalability
• Developing service functionality (e.g. IPv6 support, service endpoints, VPC peering, L7 load balancers and other networking services)
• Improve the internal architecture, optimizing interaction with related services 

In this position, your responsibility will be to:

• Develop control & data plane for Nebius Cloud network services
• Improve service performance and reliability
• Automate complex cross-service interaction scenarios
• Perform load testing for services

We expect you to have:

• Capable of writing reliable, high-performance code
• Proficient in C/C++ or Go and ready to learn both.
• Familiar with routing network traffic

It would be an added bonus if you had:

• Worked with VPP, DPDK, and the Linux kernel network subsystem
• Well-versed in virtual networks and overlays, SDN, NFV, DPI, network protocols, routing and tunneling, BGP, and MPL

We conduct coding interviews as part of the process.

We are looking for a Senior Systems HPC Engineer to play a key role in building our hyperscaler platform, working across its core components while analyzing and optimizing the performance of large-scale GPU clusters at the intersection of hardware and software.

You will operate across the full stack—from hardware and system software to networking (InfiniBand/RoCE), virtualization (KVM/QEMU), and distributed communication layers (e.g., MPI, NCCL).

In this role you will

• Focus on understanding system behavior across multiple layers, identifying performance bottlenecks, and driving improvements that shape how our clusters are built, operated, tuned, and validated.
• Investigate and troubleshoot performance issues of GPU cluster under real workloads (training and inference)
• Evaluate and integrate new hardware, system configurations and tuning approaches through software stack
• Support complex performance-related escalations from internal teams and customers
• Work closely with infrastructure, software engineering and hardware vendor teams (e.g. NVIDIA, Mellanox, Intel)
• Contribute to hardware and cluster qualification (acceptance), ensuring systems meet performance expectations

We expect you to have:

• 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming).

• 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning).

• In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems.

• Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python).

We conduct coding interviews as part of the process.

We are seeking a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI. You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in real time. This is a high-impact role working on a production system used 24x7, tackling challenges comparable to large-scale web search.

Your responsibilities:

• Design, train, and deploy ML models for retrieval, reranking, and search relevance in production
• Build and optimise embedding-based indexing and large-scale retrieval systems
• Develop models supporting crawling, data selection, and content understanding
• Define and improve quality metrics for agent-native search and build evaluation pipelines
• Work on systems operating at very large scale, including high-throughput query workloads
• Collaborate closely with engineering teams to integrate ML models into production services
• Analyse performance trade-offs across latency, quality, and cost
• Experiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems
• Contribute to product and architectural decisions in a fast-moving environment

Must-haves:

• 5+ years of experience in software engineering or applied machine learning
• Strong programming skills in Python, Go, or C++
• Proven experience deploying ML models in production systems
• Hands-on experience with retrieval, ranking, recommendation, or similar ML problems
• Strong understanding of machine learning and modern deep learning techniques
• Experience working with large-scale data systems and high-throughput environments
• Ability to design evaluation frameworks and define meaningful model metrics
• Product-oriented mindset with a focus on impact and iteration
• Strong problem-solving skills and ability to work in a distributed team

Nice-to-haves:

• Experience with search systems or large-scale information retrieval
• Familiarity with embeddings, transformers, and modern NLP systems
• Experience working on LLM-powered or agent-based systems
• Contributions to open-source projects, technical publications, or conference talks
• Participation in competitive ML (e.g. Kaggle) or similar signals of strong technical ability

We conduct coding interviews as part of the process.

At Optiver, we pride ourselves on being real Engineers, not just coders. Our Engineers work closely with Traders to identify the business problems we face and determine how they should be solved. We apply a disciplined and scientific approach to engineer simple, well-architected solutions that meet the dynamic needs of our traders. Our passion is to solve problems which really matter to the business, and we take great pride in the quality of our solutions. 

What you'll do
Hardware Engineers at Optiver build hardware-based trading systems ranging from low latency algorithms to high bandwidth computation. They are responsible for owning all aspects of the development process – from ideation to implementation, creating bespoke solutions to our complex trading problems. Their systems have little room for failure which add to the stability of the market, not detract from it. Working in close collaboration with Software Engineers and Traders, Hardware Engineers deeply understand our trading problems and create dynamic, well-architected systems that make an impact in a matter of days and weeks rather than months and years.

Who you are

• Master’s degree in CE, EE, CS, or related technical field
• Experience designing, coding, testing, and verifying FPGAs and/or ASICs
• Experience coding in VHDL, Verilog, SystemVerilog (C or C++ is a plus)
• Experience with RTL synthesis, writing timing, area, and other relevant constraints
• Experience with digital simulators and self-checking test benches.
• Experience supporting post-silicon bring-up and debugging a plus
• Ability to work closely with software developers to rapidly deliver integrated systems

Who we are
At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.

What you'll get
You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

• A performance-based bonus structure, enabling all of our employees to benefit from our global profit pool.
• The opportunity to work alongside best-in-class professionals from over 50 different countries.
• 25 paid vacation days in your first year, increasing to 30 from your second year onwards.
• Training opportunities, discounts on health insurance, and fully paid first-class commuting expenses.
• Extensive office perks, including breakfast, lunch and dinner, world-class barista coffee, in-house physio and chair massages, organized sports and leisure activities, and Friday afternoon drinks.
• Training and continuous learning opportunities, including access to conferences and tech events.
• Competitive relocation packages and visa sponsorship where necessary for expats.

How to apply
Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form.

Please note:

• We do not require any assistance from third-parties including agencies in the recruitment of this role
• We cannot accept applications via email

Diversity statement
Optiver is committed to diversity and inclusion.

Optiver leverages technology to solve a variety of complex problems: optimising for scarce bandwidth, responding to market events with nanosecond speed, automatically pricing complex sets of financial instruments with extremely low error tolerance, and analysing huge volumes of data. Our systems are built to add to the stability of the market, not detract from it; therefore they must operate at peak efficiency in the most extreme market conditions. To achieve this, our user interfaces must present coherent, responsive, real-time visualisations of market activity and system performance while providing intuitive control of a highly complex system.  

Our Core Software Engineers focus on the infrastructural and strategic components of our software landscape, ensuring the core elements provide a stable, performant, and trusted foundation upon which our systems are built.

WHAT YOU'LL DO:

Our systems play an essential role in everything we do in the trading domain. That is why our Technology and Trading Teams collaborate closely to jointly explore ideas and establish the new directions. Together, they build and maintain an outstanding suite of reliable, high-performing systems and applications.

As a member of the Core Software Team:

• You will provide the rock-solid software backbone on which the business relies every single day, and will define the technical arena in which the trading-focused development teams continue to innovate.
• You will not only be challenged on your technical knowledge and skills, but also on your capacity for producing simple and elegant solutions in face of an incredibly fast-paced and ever changing business environment.

WHAT YOU'LL GET::

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool.

• The opportunity to work alongside best-in-class professionals from over 40 different countries.

• 25 paid vacation days and fully paid first-class commuting expenses.

• Training opportunities and discounts on health insurance.

• Extensive office perks, including breakfast and lunch, world-class barista coffee, sports and leisure activities, Friday afternoon drinks, and weekly in-house chair massages.

• Competitive relocation packages and visa sponsorship where necessary for expats.

WHO YOU ARE:

• A Software Engineer with a genuine and deep desire to write clean and correct code, combined with a strong interest in delivering architectural and strategic solutions, topped off with a considerable dose of realistic and sustainable pragmatism allowing you to simply get things done
• 4+ Years of experience (doesn't require experience in Finance)
• A solid grasp of computer science, knowing your algorithms, memory and concurrency models, CPU-architecture, operating systems and relational databases etc
• As our main body of software is written in C++ and runs on Linux, you will either need to have extensive experience in this language and platform or be more than willing to learn on the job. Next to C++, we also extensively use Python, C# and other languages in Optiver, and you are therefore expected to be willing and able to learn new languages quickly
• We are looking for both senior and junior brilliant minds. If you feel comfortable with the characteristics outlined above, we strongly encourage you to apply!

WHO WE ARE:

At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.

HOW TO APPLY:

Are you interested in furthering your career on one of the most dynamic and exciting trading floors in Europe?

Apply directly via the form below for the position of Core Software Engineer. If you are selected from your application to proceed to the next round for the position of Core Software Engineer, you will be required to take an online assessment. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form.

Please note:

• We cannot accept applications via email for data protection reasons.
• We do not require any assistance from third-parties including agencies in the recruitment of this role.

DIVERSITY STATEMENT:

Optiver is committed to diversity and inclusion.

C++ Software Engineer 

At IMC, technology is not a department; it’s at the heart of everything we do. Developed in-house, our innovative software makes millions of trading decisions daily, and we win by making better and faster decisions than our competition.

IMC’s Amsterdam-based C++ Execution development teams work on software that sits directly in the latency-critical loop of our technology stack and touches every part of our organisation. From ensuring our connectivity to the market and handling massive amounts of data, to implementing complex trading algorithms and integrating advanced hardware solutions.

Your Core Responsibilities:

As a software engineer, you’ll work in multidisciplinary teams alongside other engineers as well as traders, researchers, and quants to deliver challenging projects, while taking ownership for end-to-end product development – from requirements gathering to production. You’ll write reliable, high-performance software while balancing time to production with quality and testability. Advanced automated testing and daily deployments will allow you to achieve agile and incremental benefits. Within a complex landscape of varying systems and technologies, you’ll be constantly challenged to consider trade-offs between latency, throughput, simplicity, scalability and maintainability.

• Coding, developing, testing, deploying and maintaining applications and automations for Trading Teams and/or Hardware Development and Execution Teams.
• Working through internal client requests. Gathering details, requirements and feedback from a range of internal stakeholders in order to implement creative automation solutions using innovative coding practices.

Your Skills and Experience:

• Minimum 5+ years professional working experience as a software engineer post graduation
• Strong programming skills in C++. Experience in the latest versions of C++ is highly desirable
• Familiarity with Python scripting
• Familiarity with Docker and Kubernetes
• Comfortable in Linux environments
• Experience gathering business requirements, communicating with key stakeholders and delivering solutions quickly
• The ability to work on greenfield projects under minimal supervision and to take full ownership of the applications you build
• A high degree of flexibility and adaptability: willing and able to deal with uncertainty and ambiguity in a rapidly evolving environment
• Strong troubleshooting and diagnostic skills; ability to solve problems creatively and proactively
• Prior knowledge of trading / capital markets is not required. Curiosity and a willingness to learn is.

Our Europe & Brazil Equity Options market has traditionally focused on highly liquid stocks but has expanded in scope to many more symbols. As a result, we have a wide range of new and exciting problems to solve. We are looking for experienced Equity Options Trader to strengthen the group, help us tackle these new challenges and expand our fast-growing team to cover more symbols and regions, with a particular focus on positional trading strategies.

Your core responsibilities: 

• You will maximize revenue by creating competitive edge trading strategies, using our existing signals suite and contributing to its improvement
• You will have lots of responsibility and ownership early on to drive strategies forward and be successful
• IMC is highly collaborative between traders, quants, and developers so the scope of responsibility is fairly fluid involving a mixture of operational trading and data-driven analysis
• We’ve already created partnerships and business models to facilitate our expansion and we’re currently working to improve our options pricing; investigating new models and improving our existing framework

Your skills and experience:

• You are an experienced equity option trader with at least 2 years’ experience
• You have relevant tertiary qualifications (graduate or post graduate), with strong academic results, preference in mathematics, science, financial engineering or computer science
• You have proven ability to act and perform successfully in a fast moving and high pressured environment
• You have a passion for learning; you are driven to succeed, you work well individually and in a team to get results
• Experience in computer programming is a plus (Python, C/C++, Java, Matlab, SQL)
• You will be highly analytical, constantly enhancing your strategies to improve the quality of trades, pinpoint missed opportunities, and identify new trading ideas and products

Graviton Research Capital (GRC) is a Singaporean trading firm, specialising in quantitative algorithmic strategies which are deployed on markets across the globe.

In 2026, GRC established a Research and Development arm within the Netherlands, which is seeking 2x Quantitative Research Interns to work closely with a Senior Quantitative Researcher in Amsterdam. 

Successful candidates will work on projects that directly impact the team’s research on financial markets. Candidates will gain exposure to a range of concepts and techniques, including time series analysis, filtering, stochastic models, pattern recognition and statistical inference, gained through the analysis of terabytes of data. This is a unique opportunity to gain exposure to a small team within a growing Quantitative Research function!

About the role: 

• 10 week summer internship (June - August 2026) 
• Based in Amsterdam 

Requirements: 

• A quantitative focused degree, such as Mathematics, Statistics, Data Science, Econometrics, Machine Learning (or related fields) 
• A working knowledge of Linux/Unix
• Programming experience, preferably in C++ or Python
• No prior knowledge of financial markets is needed but must have a strong interest in learning about financial markets
• Have a strong work ethic
• Entrepreneurial spirit

Successful candidates will be considered for future graduate and postgraduate positions.

Apply Now! 

If you’re up for the challenge, submit your CV! 

Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.  

As a Quantitative Researcher, your focus is on identifying trading opportunities, but you can add even more value with strong quantitative skills and some coding proficiency to accelerate the innovation process and help others leverage your work. 
 
By working on a variety of projects with different collaborators over the start of your career, you’ll gain new knowledge and insight into the fundamentals of market dynamics, trading strategies, and our proprietary research platform. We believe in learning through impactful work, so while you learn the intricacies of our industry, you’ll have plenty of opportunities to contribute and directly affect our bottom line within your first few weeks on the team.  
 
While interest in trading is key, a background in finance is definitely not. Our team is built mostly from academia — not from other trading firms. We seek mental diversity and add a select group of academics each year from a wide range of disciplines. 
 
COMPENSATION – Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.
 
Qualifications
 
We’re looking for highly analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of the future. To do that, you’ll need the following qualities:

• Persistent Drive to Improve - Do you have an innate desire to rise to the next level, even after great accomplishment?
• Creative Problem Solving and Probabilistic Thinking - You must enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic approach to testing and implementing new ideas.
• Team Mindset - We want people who understand 1+1 > 2 and are as committed to making the team better through sharing ideas as they are driven to improve their individual performance.
• Mental Flexibility & Self Awareness - You’ll have to frequently adapt based on new data, results, and feedback on your trading ideas and your performance.
• Orientation for Making Money - Although we value academic training, our work is not an academic exercise. We take a hacker’s approach to testing ideas, dropping projects that consume time without high upside, and focusing our next efforts on what will create the most value for the firm.

Research / Quant trading strategy skills to have or develop

• Strong intuition and deep thinking with data sets - Designs new alphas, understands complex systems; knows where to start, or ask others where to start
• Demonstrates strong “hacking” ability to quickly get into data to look for empirical relationships and decipher noise or signal
• Familiarity with classical statistical methods and knows when and how to apply them in a rigorous fashion; Easily learns how to apply new statistical methods; will seek out and learn new methods to better solve problem
  • Experience with modern AI techniques and methods or desire to work on Applied Machine Learning Problems a plus
• Constantly questions finance/trading data and stays motivated to seek answers despite most often proving that there is no correlation or signal
• Experience in setup of research framework and execution of projects
• Understanding of financial products, market dynamics, and microstructure
• Experience programming in Low-level computer languages (like C++); awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language 

As part of a lean Business Team, you’ll work directly with a range of functions and their leads to design, optimize and execute tools and processes for business operations and business development. You will also be responsible for both internal and external communication to partners and vendors regarding our business compliance and trading operations. 

You’ll conduct research to help evaluate new business opportunities, and build dashboards, predictive models, and other tools to inform data-driven business decisions. 

COMPENSATION – Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.

Qualifications
We’re looking for highly analytical people with 0-5 years of experience who want to help build the research-driven trading firm of the future. The individual wants to help manage our business operations for the existing business (research, technology, and operations) functions by improving communication, code and any other necessary elements.

To do that, you’ll need the following qualities:

• Proficient at data mining, extraction and organization of raw format data from various sources such as accounting systems, gitlab, and more. Experience, or a desire to learn, Tableau & other user interface tools that require data-input and entries is helpful as well.
• Proficient in Python coding, especially in scripting and automation
• Technically capable in other areas of computing, such as algorithmic design in C++ or has a strong desire to become proficient in it. 
• Detail oriented and can easily identify key influencing factors; able to quickly retain historical highlights to focus on future improvements.
• Results driven: able to drive tasks to completion in a timely manner.
• Ability to multitask: iterate quickly towards a better solution while not dropping the ball on other concurrent functions.
• Analytical: ability to understand the full scope and depth of the issue, able to solve for the long-term.
• Strong self-awareness and high emotional intelligence to assist with interpersonal and communication improvements. 
• Must work well independently

Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.  

As part of a lean Business Team, you’ll work directly with a range of functions and their leads to design, optimize and execute tools and processes for business operations and business development. You will also be responsible for both internal and external communication to partners and vendors regarding our business compliance and trading operations. 

You’ll conduct research to help evaluate new business opportunities, and build dashboards, predictive models, and other tools to inform data-driven business decisions. 

Qualifications
We’re looking for highly analytical people who want to help build the research-driven trading firm of the future. The individual wants to help manage our business operations for the existing business (research, technology, and operations) functions by improving communication, code and any other necessary elements.

To do that, you’ll need the following qualities:

• Proficient at data mining, extraction and organization of raw format data from various sources such as accounting systems, gitlab, and more. Experience, or a desire to learn, Tableau & other user interface tools that require data-input and entries is helpful as well.
• Proficient in Python coding, especially in scripting and automation
• Technically capable in other areas of computing, such as algorithmic design in C++ or has a strong desire to become proficient in it. 
• Detail oriented and can easily identify key influencing factors; able to quickly retain historical highlights to focus on future improvements.
• Results driven: able to drive tasks to completion in a timely manner.
• Ability to multitask: iterate quickly towards a better solution while not dropping the ball on other concurrent functions.
• Analytical: ability to understand the full scope and depth of the issue, able to solve for the long-term.
• Strong self-awareness and high emotional intelligence to assist with interpersonal and communication improvements. 
• Must work well independently

Join a high-performance trading team in a fast-paced global market environment. Following an intensive global training program, you will manage a trading desk, execute strategies, and identify market opportunities alongside senior traders.

Key Responsibilities

• Manage daily trading positions and execute strategies across diverse asset classes.
• Maintain real-time risk oversight and optimize desk performance.
• Partner with developers and quants to refine proprietary models and automation tools.
• Research and back-test new concepts to capitalize on market inefficiencies.
• Provide competitive pricing and ensure seamless execution in high-frequency markets.

Requirements

• Degree in a quantitative field (Math, Physics, Engineering, Finance, or CS).
• Exceptional mental arithmetic and logical reasoning under pressure.
• Proficiency in Excel; Python, VBA, or C++ skills are a significant plus.
• A competitive, entrepreneurial spirit with a proactive approach to problem-solving.
• Fluency in English and the ability to thrive in a collaborative, flat structure.

P-1317

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.

The impact you'll have:

Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:

• Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
• Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
• Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 2+ years of production level experience in one of: Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems.
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Good knowledge of SQL.

P-1320

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.

Below are some example teams you can join:

SQL Analytics Console: SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the "console" for SQL Analytics, where users configure, manage and monitor their SQL usage.

Jobs and Workflows: This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we've rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills & projects.

Developer Ecosystem: The developer ecosystem team focuses on the development experience and best practices using tools outside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform.

Apps Developer Experience - This is the team that makes developing Apps on Databricks delightful and easy. We have built an SDK and services for app developers - AppKit. Our Codegen sub-team builds tools that enable agents to generate Apps that work first time. We're currently. working on an MCP server for Cursor/Claude Code and are working on Skills.

What we look for:

• BS/MS/PhD in Computer Science, or a related field
• 2+ years of experience with HTML, CSS, and JavaScript
• Passion for user experience and design and a deep understanding of front-end architecture
• Comfortable working towards a multi-year vision with incremental deliverables
• Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)
• Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM)
• Good knowledge of SQL
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
• Experience in architecting, developing, deploying, and operating large scale distributed systems

P-1319

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.

The impact you'll have:

Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:

• Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
• Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
• Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 7+ years of production level experience in one of: Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems.
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Good knowledge of SQL.

P-1318

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.

The impact you'll have:

Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:

• Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
• Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
• Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 3+ years of production level experience in one of: Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems.
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Good knowledge of SQL.

P-1321

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.

Below are some example teams you can join:

SQL Analytics Console: SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the "console" for SQL Analytics, where users configure, manage and monitor their SQL usage.

Jobs and Workflows: This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we've rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills & projects.

Developer Ecosystem: The developer ecosystem team focuses on the development experience and best practices using tools outside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform.

Apps Developer Experience - This is the team that makes developing Apps on Databricks delightful and easy. We have built an SDK and services for app developers - AppKit. Our Codegen sub-team builds tools that enable agents to generate Apps that work first time. We're currently. working on an MCP server for Cursor/Claude Code and are working on Skills.

What we look for:

• BS/MS/PhD in Computer Science, or a related field
• 5+ years of experience with HTML, CSS, and JavaScript
• Passion for user experience and design and a deep understanding of front-end architecture
• Comfortable working towards a multi-year vision with incremental deliverables
• Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)
• Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM)
• Good knowledge of SQL
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
• Experience in architecting, developing, deploying, and operating large scale distributed systems

Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.  

As a Quantitative Technologist, your goal is to enhance live trading systems, research infrastructure, and alpha generation through technology innovation. 
 
We leverage cutting-edge software and hardware (mostly with modern C++) to push production level code daily and evolve fully-automated strategies, alpha generation processes, live trading systems, and machine learning research and simulation infrastructure used to analyze petabytes of data. 
 
We provide starter projects that we know will add value to the firm, while encouraging exploration and independent projects to improve inefficiencies, propose iterations, and own significant processes and tools within your first few months. 
 
COMPENSATION – Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.
 
Qualifications
 
We’re looking for highly analytical people who want to help build the research-driven trading firm of the future. And to do that, you’ll need the following qualities:

• Persistent Drive to Improve - Do you have an innate desire to rise to the next level, even after great accomplishments?
• Creative Problem Solving and Probabilistic Thinking - You must enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic approach to testing and implementing new ideas.
• Team Mindset - We want people who understand 1+1 > 2 and are as committed to making the team better through sharing ideas as they are driven to improve their individual performance.
• Mental Flexibility & Self Awareness - You’ll have to frequently adapt based on new data, results, and feedback on your ideas and performance.
• Orientation for Making Money - Although we value academic training, our work is not an academic exercise. We take a hacker’s approach to testing ideas, dropping projects that consume time without high upside, and focusing our next efforts on what will create the most value for the firm.

Software development skills to have or develop

• Low-level computer languages like C or C++; awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language
• Understanding of data structures, algorithmic complexities, and numerical algorithms
• Systems Architecture - knowledge and experience with distributed systems and communication
• Software Architecture - knowledge and experience working with a large code base
• Development Processes - experience delivering and deploying software in production environments

JetBrains makes industry-leading professional IDEs and team software. We are now seeking a Developer Advocate for the C/C++ ecosystem and our product, CLion. A successful candidate will blend their technical expertise, community engagement, and strategic collaboration to enhance our users’ experience and productivity.

You will explain how our products can credibly enhance developer productivity in the systems and embedded C/C++ space and advise our product teams based on industry trends and developer feedback. We are looking to hear from candidates who are experienced, passionate, empathetic, and ready to contribute to our roadmap.

We recognize that not everyone has every skill when starting a new role – the team will provide mentoring and guidance.

In this role, you’ll:

• Highlight and explain various aspects of our product portfolio via speaking, videos, blog posts, livestreams, sample code, and more. We’re especially looking for someone who can help us cover gaps with video materials. 
• Build and maintain relationships and reputation in the industry, with global and regional communities, and on social media.
• Work with product teams to provide feedback.
• Meet with customers to listen to them and educate them about our offerings.
• Speak to the press on behalf of our product offerings.
• Contribute as needed to other areas within JetBrains.

We’ll be happy to have you on our team if you have:

• 3+ years of experience with software engineering best practices, including testing, refactoring, version control, logging, tracing, and debugging.
• Experience with C/C++ and its ecosystem. 
• Hands-on experience with embedded development and a desire to interact with others in this community.
• A passion for applying various AI-enabled styles of software development.
• Fluency in both spoken and written English.
• Excellent communication skills, especially the ability to tell a compelling story about a given technology.
• Self-organizing, goal-setting, and time-management skills.
• The willingness to travel.

We’d be especially thrilled if you have:

• Experience with JetBrains tools.
• Experience in developer advocacy.
• An established reputation in a development community.
• Proficiency or experience with additional programming languages (Rust, Python, Java, Kotlin, etc.).
• A background working in an environment with highly distributed, diverse teams.

If you have a portfolio from speaking (conference recordings) and screencasts, please submit it with your application.

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.
• Relocation support. We help make your move as smooth and stress-free as possible.
  
  *Some benefits may vary depending on location.

#LI-NP1

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

QRT's High-Frequency Trading team designs and operates ultra-low-latency systems that run at global scale. We’re looking for experienced C++ engineers who care deeply about performance, efficiency, and the elegance of ultra-optimized systems.

Your future role at QRT:

You’ll work across our latency-critical stack - from kernel-level tuning and network optimization to highly efficient C++ components. This role involves close collaboration with our FPGA engineering team as well as our hardware and infrastructure engineers to design end-to-end architectures where every single nanosecond counts.

• Design and optimize C++ systems for trading, market data, and infrastructure
• Profile and fine-tune performance across CPU, cache, and memory layers
• Collaborate with FPGA engineers to integrate hardware and software pathways

Your present skillset:

• 3+ years of experience in performance-critical C++ (C++17 or newer)
• Strong grasp of systems programming, low-level understanding including memory management and CPU's architectures
• Deep familiarity with Linux internals, kernel parameters, and low-level profiling
• Curiosity about hardware, networking, and how systems behave under real load

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance. 

At JetBrains, code is our passion. Since 2000, we’ve been building tools that help developers stay focused on what matters -solving problems, exploring ideas, and creating great software.

The Growth team is a key initiative within the .NET and GameDev ecosystem, focused on expanding IDE adoption and strengthening JetBrains’ position among professional development teams. As part of this team, Solution Architects are senior technical experts who work closely with key customers, internal teams, and the broader ecosystem to support complex use cases and drive long-term adoption.

You’ll play a key role in shaping how professional game development studios adopt JetBrains tools in real production environments - helping teams solve complex problems, improve workflows, and build better games.

About the role

As a Solution Architect for GameDev Tools, you’ll act as a trusted technical advisor to game development studios using JetBrains tools, primarily Rider.

This is a senior, non-sales role focused on deep technical engagement, high-impact customer scenarios, and long-term relationships with professional studios. You’ll work at the intersection of real-world production environments and product development, helping teams adopt modern workflows and get the most out of their tooling.

What you’ll do

• Work closely with game development studios as a technical expert on Rider and GameDev workflows
• Investigate complex technical challenges beyond typical support scope, including performance, debugging, IDE integration, and workflow issues
• Validate advanced use cases such as large Unity and Unreal projects, custom engine setups, CI/build pipelines, and competitive evaluations
• Act as a bridge between studios and internal teams, including Growth, Sales, and product teams
• Provide actionable product feedback based on real-world production environments
• Design and deliver technical workshops, demos, training sessions, and sample projects
• Share insights, best practices, and competitive knowledge with internal teams
• Occasionally travel for key onsite engagements, workshops, or industry events

What we’re looking for

• Strong professional experience in game development using Unity, Unreal Engine, or in-house engines
• Background in AAA or large-scale production environments, with a solid understanding of studio structures and workflows
• Deep knowledge of the full game development lifecycle, from prototyping to live operations
• Experience working with large, long-lived codebases and complex runtime environments
• Strong skills in debugging, performance optimization, profiling, and memory management
• Ability to work effectively with senior engineers, technical directors, and engineering leadership
• Established presence in the GameDev industry, with the ability to build long-term professional relationships
• Hands-on experience with JetBrains tools and the ability to demonstrate their value in real workflows
• Experience creating technical content such as demos, presentations, or workshops
• Strong customer focus and communication skills
• Fluency in English

Nice to have

• Experience in roles such as Solution Architect, Technical Consultant, Developer Advocate, or similar
• Deep knowledge of engine internals or performance-critical systems
• Experience with C++ and managed-to-native interoperability
• Familiarity with console development and platform-specific constraints
• Experience in large distributed or multi-studio environments
• Background in building developer tools, custom editors, or IDE plugins
• Public speaking experience at conferences or technical events
• Experience in adjacent fields such as simulation or virtual production
• Understanding of AI-assisted development and tools like JetBrains AI, GitHub Copilot, or similar
• Ability to clearly explain AI capabilities, limitations, and trade-offs

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-HYBRID 
#LI-JP1 

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Trading Infrastructure is a global organization of Engineers who architect, build and maintain our world-class infrastructure. From colo design/implementation, to optimizing our exchange connectivity, to building world class low latent Wide Area Networks, we leverage research and automation to consistently adapt and innovate our infrastructure to scale and drive our trading and evolving business.

We are looking for exceptional talent that can work closely and collaborate effectively across multiple teams spread around the globe and continue to take our infrastructure to the next level.

What You'll Do:

• Work in a hybrid Systems Engineer / Software Developer capacity on Jump’s internal systems that manage the global infrastructure and colocation footprint
• Architect, build and maintain streaming monitoring tooling, high performance / real-time packet and flow analysis systems, configuration management and automation frameworks
• Take an ops-first approach, focusing on improving quality of the platforms for the wider team and always strive to identify improvements and opportunities for further make us more efficient
• Identify opportunities to make services more efficient and resilient by designing alerting and observability around team and business requirements
• Do deep-dive debugging sessions on low-level performance issues in complex software stacks
• Other duties as assigned or needed

Skills You’ll Need:

• 5+ years experience with Python, Go
• Strong experience with Linux
• Knowledge of streaming systems architecture and design
• Message/streaming queues (Apache Kafka, RabbitMQ, etc.)
• Working knowledge of Rust, C/C++
• Experience with big data / columnar style data stores (Bigtable, Clickhouse, Cassandra) and time series databases
• Experience working with version control and CI/CD systems.
• App deployment management and lifecycle (CI/CD, Kubernetes, pods/containers)
• Proven knowledge of working on infrastructure challenges in a reliability capacity
• Previous experience demonstrating strategic thinking skills and maturity in tackling complex problems, dealing with people, technology and processes
• Reliable and predictable availability

Bonus skills:

• Experience with Rust
• Prior exposure to Arista or Cisco hardware
• Routing protocol knowledge
• Prior network design knowledge

Benefits include:

• Private Medical, Vision and Dental Insurance
• Travel Medical Insurance
• Group Pension Scheme
• Group Life Assurance and Income Protection Schemes
• Paid Parental Leave
• Parking and Commuter Benefits

As a Trader Graduate, you will complete an intensive training programme run by our most talented traders, including theory training, education sessions, live-market trading, and programming courses. We will teach you the skills to trade with the latest available tools and we aim to give you responsibility for the profit and loss of your book as soon as you are ready.

We are looking for final year applicants from any quantitative background with a competitive nature and a strong understanding of probability and statistics to join our Graduate Trader Programme in Amsterdam. The programme start date will be Monday 7th September 2026.

Training Location 

All Graduates will complete an initial 3-month training period in London. Upon completion of training, candidates will be relocate to our Amsterdam office to join Options Market Making trading desks.

What we’re looking for

• Strong numeracy and a good understanding of probability and statistics
• Competitive nature and a curiosity to learn with a keen interest in financial markets 
• Excellent analytical skills with the ability to solve problems creatively 
• Good communication skills and drive to work collaboratively  
• A final year undergraduate student or a final year masters student 
• Familiarity with programming languages such as Python, VBA, SQL, R, C++ or C#

What we offer:

• Opportunity to execute live trades within 3 months of starting
• Direct exposure and graduate training from industry leaders 
• Informal, friendly and highly rewarding culture with a  relaxed dress code and frequent social events.
• Fast growing global firm where your work will have a significant impact
• Extensive support network throughout your programme 

Please only apply to one of our Intern or Graduate programmes, as we are only able to consider your application for one programme. 

Join our new Amsterdam-based team to expand CTC’s footprint in the APAC market, contributing to our global options market-making and volatility alpha suite. Partner with our Chicago, New York, and London offices to build low-latency alphas and execution strategies on APAC exchanges. Be a leading member of this tight-knit and experienced team to make startup-level impact at a well-established firm.
 
If you’re motivated by precision C++ engineering and the thrill of tackling intricate technical challenges, we’d love to meet you!

What You’ll Do

• Design, implement, and deploy trading strategies using modern C++ features.
• Partner with Traders and Quant Researchers to develop best-in-class execution and low-latency market making strategies.
• Foster collaboration with other teams including operations, pricing, exchange access, inventory and risk management, and test automation.
• Ensure operational safety and uphold the highest standards of software engineering by thoroughly testing code, following a coherent and maintainable design and architecture, and adhering to best practices—prioritizing carefully planned, well-structured solutions over ad hoc implementations.

What We’re Looking For

• Proficient in developing performant, scalable trading applications using modern C++; knowledge of C++20 preferred
• Experience with multi-threaded programming and distributed application architecture
• Strong interpersonal skills with the ability to build trust, collaborate, and influence cross-functionally.
• Ability to quickly triage issues and drive the resolution effort through completion.
• Comfortable making architectural decisions independently.
   

Da Vinci is looking for experienced quants to join a highly skilled, collaborative team in solving complex problems. You will play a key role in ensuring our operations perform at the highest level possible, working to achieve our goal of building one of the best proprietary trading firms in the world.

Are you looking for an exciting and dynamic work environment, where employees are given the freedom to come up with great ideas and the space to push these to completion? Then this is your once-in-a-lifetime opportunity to be part of a successful and fast-growing company.

Responsibilities

Depending on your background and focus, your responsibilities may include:

As a Quant Trader

• Generate profits, trading by position taking and market making
• Manage and monitor trading risk in real-time
• Develop and refine strategies for both existing and new markets
• Optimize desk performance, devise new trading strategies and improve trading infrastructure

As a Quant Researcher:

• Analyze large datasets to identify trading opportunities
• Develop tools that translate data analysis results into useful inputs for trading
• Build and back test quantitative models and strategies
• Collaborate with traders and developers to bring strategies to production
• Explore new markets and refine existing models and tools

As a Quant Developer:

• Design and implement high-performance trading systems and tools
• Collaborate with researchers and traders to translate ideas into robust, scalable code
• Improve infrastructure, latency, and deployment workflows
• Ensure reliable operation in live trading environments

Requirements

• 3 to 10 years of experience in a quantitative role (trading, research, or development) at a prop shop like ours or similar
• A strong academic background in Mathematics, Physics, Engineering, Computer Science, or a related field
• Deep understanding of financial markets and/or algorithmic trading (especially for trading roles)
• Proficiency in programming (Python, C++)
• A strong analytical mindset, attention to detail, and a desire to continuously improve
• Excellent communication skills and a team-oriented approach
• A proactive, entrepreneurial attitude and comfort working in a fast-paced, evolving environment

Benefits

• Base salary of EUR 100k, with total compensation (including performance-based bonuses) expected to be 500k + USD annually
• Outstanding performance is also rewarded with shareholding in the company
• A relocation package when moving from abroad, including a relocation budget, flight coverage, house-finding service and expat support
• Meals during work hours
• Social events and after-work drinks
• Reimbursement of travel costs
• Sponsored gym membership
• In-house game room (pool table, board games and console games)