Mission Brief

As a Recovery Operations Engineer in the Reusability Program, you define and mature the CONOPS for post‑flight recovery, refurbishment, and return‑to‑flight of reusable launch vehicle elements. You enable safe, repeatable, and cost‑efficient reuse by embedding recovery and refurbishment considerations into vehicle design, ground operations, and long‑term fleet operability from the outset. 

Your Role in Our Space Mission

• Define and evolve recovery Concept of Operations (CONOPS), covering primary recovery scenarios as well as fallback scenarios, from landing through return‑to‑flight
• Evaluate and down‑select launch sites, landing zones, and ranges with respect to recovery feasibility, safety, and operations
• Specify and assess recovery ground support equipment (GSE), including cranes, transport frames, barges, and port infrastructure
• Define refurbishment and recycle processes, including inspection flows, repair scope, turnaround timelines, and reuse limits
• Drive maintainability and operability requirements into vehicle and system design
• Support integration and payload processing concepts where recovery impacts launch‑site operations
• Contribute to fleet and lifecycle management strategies, including inspection intervals and retirement criteria
• Develop and maintain operational cost models, including recovery, refurbishment, infrastructure, and reuse cost functions, and support cost estimation and trade studies to inform architectural and program‑level decisions 

Qualification Checklist 

Education & Technical Background 

• Engineering education in aerospace, mechanical, civil, naval, industrial, or a closely related field, or equivalent senior industry experience 
• Technical background in launcher ground operations plus recovery and refurbishment concepts for reusable launch vehicle hardware 
• Proven knowledge of transport, handling, lifting, storage, inspection, and repair of large aerospace hardware and associated ground support equipment
• Proven knowledge of large‑scale logistics and ground infrastructure as primary drivers of operability, cost, and turnaround time in a reusable launch vehicle fleet 

Experience 

• 5–10+ years in launch vehicle programs, recovery programs, or large‑scale aerospace hardware projects
• Direct involvement in designing and evaluating end‑to‑end CONOPS, covering recovery logistics, ground support equipment, refurbishment, maintainability, and return‑to‑flight
• Practical work with large ground support equipment and infrastructure, including recovery assets, lifting systems, transport solutions, hazardous substances supply systems and launch-site or port environments
• Hands-on exposure to launch vehicle or aircraft refurbishment and post‑operation processing, including inspection strategies, repair scope definition, structural and systems assessments, and reuse or return‑to‑service considerations.
• Demonstrated ability to assess how recovery and ground operations concepts drive launcher architecture, interfaces, access requirements, and design margins
• Proven involvement in operational trade studies, addressing feasibility, cost drivers, turnaround time, and risk across alternative recovery and refurbishment approaches

Skills & Competencies 

• Ability to architect recovery and refurbishment CONOPS that are technically executable and scale with fleet growth 
• Strong judgement balancing launcher design, ground support equipment capability, logistics constraints, safety, cost, and schedule
• Deep practical knowledge of ground support equipment-driven constraints and their impact on recovery methods and launcher interfaces
• Clear command of maintainability and refurbishment drivers, including access, wear mechanisms, handling damage, and inspection effort
• Capability to challenge launcher and ground design decisions based on operational realism rather than theoretical optimization
• Structured decision‑making under uncertainty, grounded in experience with real hardware, infrastructure, and field operations
• Fluent in English (German is a plus) 

Benefits 

• Employee Participation Program: Share in our success through our virtual company share program
• 30 days of vacation: Enjoy the days off to relax and recharge
• Company pension plan: Secure your future with our company pension plan, featuring a 20% employer contribution after the probation period
• Subsidised lunch: Stay energised with delicious, subsidised lunches every day
• Public transport ticket: Commute with ease using a fully financed Deutschlandticket
• Sport Clubs membership: Stay fit with our sponsored sports club memberships (EGYM Wellpass)
• Individual learning allowance: Grow your skills with an individual learning budget granted after the probation period
• Childcare allowance: Receive a childcare allowance for your non-school-age children
• And Much More! Discover additional perks and benefits when you join our team        

Who we are

We are Isar Aerospace and we are at the forefront of New Space building a modern space business to enable faster, better and cheaper access to space.

Our mission is to help democratise space and use it for good in order to improve life on Earth now and for the future generations.

We are a fast-growing company aiming to provide sustainable and environmentally friendly launch solutions for small and medium-sized satellites and constellations into Low Earth Orbit. The company is privately funded by world-leading technology investors with strong commitment and support and our team is made of driven and talented people with a real passion for space innovation.

We're making rockets in a way that hasn't been done before disrupting a traditional industry. If you are up for the challenge, want to work on cutting-edge projects and be part of a team changing the world for better, come, join us and launch your career!

Want to find out more about us?

Visit www.isaraerospace.com

Data Protection

We process your personal data for the purpose of managing the recruitment process and assessing your application. For detailed information on how your data is processed, including your rights, please refer to our Privacy Policy.

Disclaimer

Isar Aerospace SE is an equal-opportunity employer committed to fairness and inclusivity. We do not prioritize any specific religion, gender, nationality, or background. Due to security clearance requirements, affiliations with countries listed under § 13 para. 1 no. 17 SÜG may affect the application process. All qualified applicants are encouraged to apply.

Site Reliability Engineer

As a part of Sony Computer Entertainment, the Gaming, Developer & Future Technology Group (GDFT) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond.

Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels.

We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring the operational readiness and stability.

What you'll be doing:

• Lead team technical discussions, especially around ongoing improvements in Reliability and Scalability
• Be involved in creating High Level Designs (HLDs) for new products and platforms
• Mentor junior SRE staff and enable them for success
• Lead incident response and post-mortem activities within your assigned service team
• Work with other Engineers in a cross-functional team to prioritise reliability improvements to address technical debt and toil
• Contribute to code to improve reliability
• Implement automation to reduce ongoing toil

What we're looking for:

• Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role.
• Strong interpersonal, written and verbal communication skills.
• Available to be scheduled in on-call rotation.

Skills & Knowledge:

• Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure.
• Development experience in one or more of the following programming languages:
• Python (preferred)
• Bash, Go, Java, C++, or Rust
• In addition, experience with at least 3 of the following topics:
• Distributed data storage at scale (Hadoop, Ceph)
• NoSQL at scale (MongoDB, Redis, Cassandra)
• Data Aggregation technologies. (ElasticSearch, Kafka)
• Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability
• Monitoring & Alerting (Prometheus, Grafana), and Incident Management toolsets
• Kubernetes and/or AWS (deployment and management)
• Software Distribution (Package management and distribution at scale)
• Configuration Management (ansible, saltstack, puppet, chef)
• S/W Performance analysis and load testing (QA or SDET experience: a plus)

Senior Service Reliability Engineer 

As a part of Sony Interactive Entertainment, the Gaming, Developer & Future Technology Group (GDFT) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond. 

Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels. 

We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring operational readiness and stability. 

What you'll be doing: 

• Taking a leadership role in ongoing improvements in Reliability and Scalability 

• Work closely with SRE Management to define KPIs, processes and drive continuous improvement 

• Influence the architecture and implementation of solutions within the division 

• Mentor more junior SRE staff and enable them for success 

• Act as a voice to represent SRE in the wider organisation 

• Represent the operational scalability of solutions in the wider division 

• Lead small-scale projects from inception to implementation 

• Design platform-wide solutions and provide technical leadership during their implementation 

• Demonstrate a high-level of organizational skills and initiative in the role 

What we're looking for:

• Minimum of 7+ years working experience in Software Development and/or Linux Systems Administration role. 

• Strong interpersonal, written and verbal communication skills. 

• Available to be scheduled in on-call rotation. 

Skills & Knowledge:

• Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure. 

• Development experience in one or more of the following programming languages: 

• Python (preferred) 

• Bash, Go, Java, C++, or Rust 

• In addition, experience with at least 3 of the following topics: 

• Distributed data storage at scale (Hadoop, Ceph) 

• NoSQL at scale (MongoDB, Redis, Cassandra) 

• Data aggregation technologies. (ElasticSearch, Kafka) 

• Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability 

• Monitoring & alerting (Prometheus, Grafana), and Incident Management toolsets  

• Kubernetes and/or AWS (deployment and management)  

• Software distribution (Package management and distribution at scale) 

• Configuration management (ansible, saltstack, puppet, chef) 

• Software performance analysis and load testing (QA or SDET experience: a plus) 

 What you'll be doing: 

• Taking a leadership role in ongoing improvements in Reliability and Scalability 

• Work closely with SRE Management to define KPIs, processes and drive continuous improvement 

• Influence the architecture and implementation of solutions within the division 

• Mentor more junior SRE staff and enable them for success 

• Act as a voice to represent SRE in the wider organisation 

• Represent the operational scalability of solutions in the wider division 

• Lead small-scale projects from inception to implementation 

• Design platform-wide solutions and provide technical leadership during their implementation 
  
  
• Demonstrate a high-level of organizational skills and initiative in the role 

Available Locations: London/Munich/Amsterdam/Paris

As a Solution Architect,  AI / Cloudflare Developer Platform and a member of the sales team you will help customers understand the technical details and business value proposition of the Cloudflare AI / Developer Platform and demonstrate the path and advantages of building applications with our products. 

In this role, you will serve as the Regional Lead for Cloudflare AI / Developer Platform sales. You will advise sales leadership on programs to grow Developer revenue and support strategic opportunities. You will collaborate closely with technical sales teams to design innovative solutions, develop proof of concept demonstrations, and showcase the technical capabilities of these designs to meet customer needs and expectations.

Serving as a trusted technical advisor you will help guide and enable clients, partners and teams within Cloudflare on product capabilities, positioning and competitive intelligence. You will form a tight feedback loop with product, product marketing, and technical pre-sales to refine and evolve our product. 

The ideal candidate possesses a consultative mindset, strong selling skills, along with a deep understanding of modern Web Technologies, Cloud Architecture , and the advantages of a Distributed Serverless Platform. No matter your background, you have natural curiosity and desire to solve problems, achieve goals, and design the most elegant and efficient solutions to address client needs.

What you'll do:

• You will partner with the sales organization to drive revenue, new customers and pipeline of AI and Developer Platform solutions. 
• Collaborate with cross-functional teams including product management, sales, and marketing to drive developer platform revenue and customer adoption
• Present to strategic customers as an expert of our Developer platform solutions
• Develop programs to drive the overall sales and pipeline strategy for the Cloudflare Developer Platform in partnership with regional and country sales leaders
• Align Director and C-Level perceived business and technical value with Cloudflare developer solutions
• Prepare and give regular business reviews to the management team highlighting attainment progress and challenges to closing business
• Generate a succinct feedback loop with cross-functional teams to deliver relevant Developer content, use cases, customer stories, and data driven value propositions. . 

In order to be successful, you will need to become a thought leader, trusted advisor, and spokesperson for the Cloudflare AI and Developer platform.

What you'll need:

• 3+ years of experience selling or supporting the technical sales of cloud computing and storage, full-stack Engineering, or Cloud Developer
• Technical expertise in cloud infrastructure, web technologies and AI/ML as a solutions engineer, entrepreneur, or solution architect.
• Knowledge and experience of Systems Design
  • You’ve built a web application, either professionally or as a hobbyist, and will be able to explain your design choices clearly during the interview process
  • Able to hear a clear, non-technical description of an Application (“It is a chat room, for our 150 most important users”) and quickly determine which Compute, Data, and Security components are needed to build this application
• Software development experience delivering full-stack applications, preferably using modern JavaScript frameworks and a variety of databases
• In-depth knowledge of at least one major public cloud provider (AWS, GCP, Azure, etc.)
• Have a good understanding of systems design theory and practice for distributed, full-stack applications (frontend, backend, databases, related services); ideally in a serverless paradigm
• Have a strong understanding of developer workflows (branching, release, versioning, CI/CD practices, system integrations)
• Act as an AI and Developer product expert, educating internal teams and external stakeholders on the value and capabilities of the Cloudflare Developer platform
• Knowledge of key market players/competitors in the cloud computing, AI and storage spaces
• 30% travel
• Fluency in both English and Hebrew

Other desirable skills areas include:

• You’ve built something on Cloudflare Workers
• AWS Solutions Architect or GCP Cloud Architect certifications
• Prioritize and manage the product roadmap, making strategic trade-offs to ensure the product meets customer needs and business goals
• Participate in product launch activities, including developing messaging and positioning, coordinating with marketing and sales teams
• Stay up-to-date with industry trends and advancements in cloud computing to inform product strategy and roadmap

Available Locations: London (hybrid), the Netherlands (remote), Paris, or Munich

About the Role

Cloudflare’s Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact.

As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape technical architecture, and directly influence how Cloudflare products are used at massive scale.

You will operate as a technical extension of both organizations - helping the customer ship faster while surfacing real-world product insights back to Cloudflare engineering.

This role is ideal for engineers who want to:

• Stay deeply technical
• Work on real production systems
• Influence product direction
• Build long-term partnerships with world-class engineering teams

Responsibilities

• Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.
• Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.
• Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.
• Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.
• Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.
• Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.
• Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.
• Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).
• On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

• Proven Engineering Pedigree: 5+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.
• Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain "five nines" uptime.
• Active Practitioner: You are currently in the IDE. You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.
• Full-Stack Architectural Depth: Broad technical fluency across the entire stack—from frontend performance and backend logic to database optimization and distributed infrastructure.
• AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.
• Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details.
• Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.
• High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end.
• Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.
• Fluency in Hebrew and English

Nice to Have

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.
• Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.
• A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

About the Opportunity

Shape the future of API-first, composable analytics for enterprise content teams as a Full Stack Engineer (f/m/d) with Contentful.

We are expanding our analytics capabilities tailored to the needs of marketers and content strategists. As a Full Stack Engineer (f/m/d), you will play a key role in delivering AI interfaces and dashboards on top of our data platform.

This role focuses on building performant, intuitive UIs and the APIs that power them. You will work closely with product, design, backend, frontend, and data teams to help marketers understand how content performs and evolves across its lifecycle.

What to expect? 

• Build out AI agents, analytics dashboards and the underlying APIs that support them
• Implement rich data interfaces using React, Next.js, Tailwind, and data visualization libraries
• Develop and consume RESTful APIs in Node.js/TypeScript, integrating with existing analytics services
• Contribute to the data pipelines that transform event data at petabyte-scale
• Ensure performance and usability in data-heavy interfaces through thoughtful architecture and loading strategies
• Collaborate across design, product, backend, frontend, and data teams to ship high-impact features quickly

What you need to be successful

• 3+ years building SaaS applications with TypeScript, Node.js, and React
• Proven delivery of AI agents, dashboards or analytics interfaces (ideally in a B2B context)
• Hands-on experience with cloud platforms (GCP, AWS or Cloudflare)
• Comfortable with CI/CD workflows, automated testing, and modern cloud tooling
• Bonus: Experience working with data pipelines or analytical databases

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

The role

We are seeking a customer-obsessed Solutions Architect to lead technical engagement with Nebius customers across Europe. This role is focused on presales excellence, strong technical storytelling, and driving adoption of Nebius AI Cloud across a wide range of industry segments.

As a Solutions Architect, you will act as a trusted technical partner to customers, helping them understand, evaluate, and adopt Nebius for their AI/ML and high-performance computing workloads. You will combine deep technical expertise with strong communication skills to clearly articulate Nebius’ value proposition and differentiate our platform in a competitive market.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Own end-to-end technical presales engagements, from discovery through solution design, PoC execution, and production readiness
• Serve as a trusted technical advisor to customer stakeholders, including CTOs, Heads of AI/ML, and platform engineering teams
• Deliver compelling technical presentations, demos, and workshops that clearly communicate the value of Nebius across different customer segments
• Execute demos and PoCs to demonstrate performance, scalability, and cost efficiency of Nebius solutions
• Translate customer requirements into scalable, production-ready architectures and best practices
• Collaborate closely with Sales, Product, and Engineering to align customer needs with Nebius capabilities and roadmap
• Act as a technical advocate for customers internally, ensuring feedback is incorporated into product and go-to-market strategy
• Support regional go-to-market efforts, including events, meetups, webinars, and technical content creation
• Contribute to building repeatable technical playbooks and assets for the European market

We expect you to have:

• 2–5+ years of experience in technical roles such as Solutions Architect, Cloud Architect, Sales Engineer, or similar, with strong customer-facing exposure
• Proven experience in presales or customer-facing technical roles, including discovery, solution design, and PoC execution
• Strong ability to deliver technical pitches and clearly explain complex infrastructure and AI/ML concepts to both technical and business audiences
• Experience positioning cloud or infrastructure solutions and articulating value propositions in competitive environments
• Solid understanding of ML/AI workloads, including training and inference, and the underlying infrastructure requirements
• Experience with cloud platforms, Kubernetes, and distributed systems
• Hands-on experience with Infrastructure as Code (e.g., Terraform) and scripting/programming (Python preferred)
• Strong communication and storytelling skills, with the ability to adapt messaging across different customer segments
• Deep understanding of the European market, including customer expectations, buying behaviors, and local ecosystem
• Fluency in English plus another language preferred (both written and spoken), with the ability to engage confidently with local customers and stakeholders
• A highly customer-centric mindset, with the ability to balance technical depth and business value

It will be an added bonus if you have:

• Experience with GPU-accelerated workloads and AI infrastructure (NVIDIA ecosystem, CUDA, etc.)
• Hands-on experience with MLOps tools and frameworks (Kubeflow, MLflow, etc.)
• Familiarity with HPC environments and schedulers (e.g., Slurm)
• Experience contributing to regional go-to-market or developer/community initiatives

Nebius Managed Kubernetes (mk8s) mission is to grow the Nebius cloud platform by providing a Kubernetes-native way to run AI systems with high efficiency and low operational overhead.
With a single click, it provides a Kubernetes cluster on top of Nebius services for compute (VMs) and networking.
In 2026, the service is scaling 10× and is expected to manage customer workloads across tens of thousands of GPU servers in more than 10 data centers.

You will lead the mk8s Core team, one of three mk8s teams. The Core team owns the API, the core of the service control plane, cluster autoscaling, platform integrations, and running k8s add-ons.

At Nebius, team leads are hands-on. We expect you to be a senior or staff engineer now (or earlier in your career). You will start as an individual contributor to gain context, then take on managerial responsibilities.

In this position, you will be responsible to:

• Lead by example. Set the quality bar by spending a significant portion of your time on IC work: writing and reviewing code, leading projects, and participating in on-call rotation, incident mitigation, and post-incident analysis.
• Manage 4–8 mid-to-senior engineers. Provide context, coach, and give regular feedback.
• Maintain the technical vision for your area of responsibility.
• Collaborate with the Product Manager and Service Owner to shape product vision and plans.

Examples of outcomes you could drive as a Team Lead

• Optimize the service control plane to create and manage 20K GPU nodes in a single Kubernetes cluster, enabling a major contract for the company.
• Integrate cluster autoscaling approaches (e.g., Karpenter) to improve resource utilization and support seamless auto-upgrades.
• Provide a Kubernetes-native way to use local disks to reduce disk I/O bottlenecks for AI training and inference, improving efficiency.
• Deliver managed Layer 7 load balancers to reduce operational overhead for customers.

What you will bring to the table:

• 8+ years of professional software engineering or management experience
• Excellent knowledge of Golang, or you are ready to quickly switch to this programming language
• Expertise with
• Multi-month technical projects
• Tech leading engineers
• Owning multi-month technical projects.

It would be an added bonus if you had:

• Experience with Team management, Kubernetes administration, Developing Kubernetes controllers

The role

We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

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. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens.

In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets.

Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about.

If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story.

The team

Customer experience at Nebius GPU AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a highly skilled and customer-focused leader to join our team as a Cloud Solutions Architect Lead. As a team leader, you will play a pivotal role in customer success across EU region, both managing the efforts of Cloud Solutions Architects team (technical and process excellence, talent development) and building processes alongside your stakeholders. Player-coach mentality and proven track record of managing high expertise teams is a must. 

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Lead and mentor a team of Solutions Architects, fostering a culture of technical excellence, customer empathy, and collaborative execution.
• Oversee and participate in technical engagements including PoCs, workshops, architecture reviews, and trainings.
• Drive consistency and quality across infrastructure design, IaC practices, technical documentation, and customer enablement content.
• Collaborate closely with Product and Development teams, representing customer needs and helping shape the roadmap.
• Guide customers in optimizing ML/AI/HPC pipelines for performance, scalability, and cost-efficiency on Nebius  cloud infrastructure.
• Build visibility and ownership culture amongst Solutions Architects.

We expect you to have: 

• 5+ years of experience in a technical role (Solutions Architect, DevOps Engineer, ML Engineer, or similar) with a focus on cloud-native systems and distributed computing.
• 2+ years of experience leading or mentoring customer facing engineering teams.
• Deep hands-on experience with Infrastructure as Code (Terraform, Ansible), Kubernetes, and cloud automation.
• Strong communication and stakeholder management skills across both technical and non-technical audiences.
• Passion for developing scalable, reliable cloud architectures and driving customer success.

It will be an added bonus if you have: 

• Experience with HPC or ML orchestration frameworks (e.g., Slurm, Kubeflow, Ray).
• Strong coding skills in Python and experience with GPU computing environments for ML/AI workloads.
• Proficient in GPU stack components (e.g., CUDA, cuDNN) and cloud-native patterns for ML training/inference.
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
• Understanding of cloud-based ML tools and offerings from NVIDIA, AWS, Azure, or Google Cloud.
• Experience participating in or leading technical contributions to conferences or open-source communities. 

The role

At Nebius, we’re building a next-generation AI compute platform for large-scale ML training and inference — from a few nodes to thousands of GPUs.
We’re looking for a Technical Product Manager to own product direction for Soperator — our Slurm-on-Kubernetes control plane for GPU clusters.
In this role, you will shape how ML engineers and research teams run, scale, and optimize distributed workloads in production.
If you care about systems that combine performance, reliability, and developer experience at the frontier of AI infrastructure, this role is for you.

Your responsibilities will include: 

• Own the full user journey across Soperator clusters: Slurm workflows, dashboards, alerts/notifications, node lifecycle, and training/inference capacity management.
• Define product direction end-to-end: problem discovery → solution design → delivery → adoption.
• Lead deep customer discovery through interviews, usage analytics, and workload analysis to uncover high-impact opportunities.
• Drive execution across platform teams: compute, networking, storage, observability, IAM and etc.
• Translate frontier ML and infrastructure ideas into practical product capabilities for real-world GPU clusters.
• Define success metrics, prioritize roadmap decisions with data, and ensure measurable customer/business impact.
• Lead the open-source strategy and execution for Soperator: shape public roadmap themes, prioritize OSS-facing capabilities, and ensure strong adoption in the community.  

We expect you to have: 

• 3–5+ years in Product Management, ML infrastructure/MLOps, distributed systems, or cloud platform engineering.
• Strong technical depth in distributed systems, cloud infrastructure, or ML platforms.
• Hands-on familiarity with large-scale ML training and orchestration tools (e.g., Slurm, Kubernetes, Ray).
• Track record of shipping technically complex products with multiple engineering teams.
• Strong communication and stakeholder management across engineering, research, and customers.
• Experience with product analytics, data-informed prioritization, and experimentation.
• High ownership, high learning velocity, and comfort operating in fast-moving AI infrastructure environments.

It will be an added bonus if you have: 

• Experience with GPU platforms and HPC primitives: InfiniBand/RDMA, topology-aware scheduling, high-throughput storage.
• Practical understanding of modern ML training stacks: PyTorch, DeepSpeed, FSDP/ZeRO, NCCL.
• Familiarity with efficiency and reliability metrics: Goodput, MFU, failure modes, preemption handling, health checks.
• Exposure to large-scale LLM training/inference systems.
• Experience in observability, performance tuning, or SRE/reliability engineering.
• Customer-facing technical experience (solutioning, support, architecture advisory).

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

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 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.

The role

This role is for Nebius AI R&D, a team focused on applied research and the development of AI-heavy products. Examples of applied research that we have recently published include:

• investigating how test-time guided search can be used to build more powerful agents;
• dramatically scaling task data collection to power reinforcement learning for SWE agents;
• maximizing efficiency of LLM training on agentic trajectories.

One example of an AI product that we are deeply involved in is Nebius Token Factory — an inference and fine-tuning platform for AI models.

This role will require expertise in distributed systems to build large-scale LLM training platform.

Your responsibilities will include: 

• Designing and developing LLM training platform.
• Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
• Improving job scheduling strategies to minimize resource fragmentation. 

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

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 a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.

Some directions we are currently working on, and which you can be a part of:

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).
• Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
• Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency.

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and transformer architecture.
• Experience profiling GPU workloads using Nsight, PyTorch profiler, or similar tools
• Understanding of GPU memory hierarchy and compute/memory tradeoffs
• Familiarity with important ideas in LLM space, such as MHA, RoPE, KV-cache, Flash Attention, and quantisation
•  Understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
•  Strong software engineering skills (we mostly use Python)
• Deep experience with modern deep learning frameworks
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
• Strong communication and leadership abilities

Nice to have:

• Experience working with open-source inference engines (vLLM, SGLang, TensorRT-LLM), including contributions
• Experience with kernel languages or DSLs such as Triton, Cute, CUTLASS, CUDA
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess
•  Excellent command of the English language, alongside superior writing, articulation, and communication skills.

The role

This role is for Nebius AI R&D, a team focused on applied research in AI. Examples of applied research that we have recently published include:

• applying reinforcement learning for agent training in long-context multi-turn scenarios
• dramatically scaling task data collection to power reinforcement learning for SWE agents
• building a decontaminated evaluation for SWE agents that is regularly updated
• investigating how test-time guided search can be used to build more powerful agents

The results often lead to collaboration with adjacent teams where our research findings are applied in practice.

We are currently looking for senior- and staff-level ML engineers to work on research in areas such as:

• Guided search and reinforcement learning for agentic systems
• Reinforcement learning for reasoning models
• Web-scale problem collection for training agents
• Efficient model distillation

Some examples of what your responsibilities might include are:

• Conducting experiments to figure out efficient ways to train a large language model on traces of interactions with various environments
• Exploring methods of guided generation and search in the trajectory space
• Coming up with ways to mine relevant data at web scale and figuring out efficient ways to use this data in model post-training
• Conducting experiments with different reinforcement learning configurations in verifiable domains
• Exploring methods to train AI agents on tasks with non-verifiable reward signals

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning
• Deep expertise in modern deep learning for language processing and generation
• Substantial experience with training large models on multiple computational nodes
• Strong software engineering skills (we mostly use python)
• Deep experience with modern deep learning frameworks (we use jax)
• Strong communication and leadership abilities
• Experience designing, executing, and analyzing machine learning experiments with proper statistical rigor
• Ability to formulate research questions, design experiments to test hypotheses, and draw meaningful conclusions from results
• Ability to document research findings clearly and contribute to technical publications or report

Nice to have:

• Experience with deep reinforcement learning for LLMs, including techniques such as reward modeling, DPO, PPO etc
• Familiarity with important ideas in LLM space, such as RoPE, ZeRO/FSDP, Flash Attention, quantization
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Master’s or PhD preferred
• Track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment
• Experience in engineering complex systems, such as large distributed data processing systems or high-load web services
• Open-source projects that showcase your engineering prowess
• Excellent command of the English language, alongside superior writing, articulation, and communication skills
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

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 & fine-tuning platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to train & deploy at massive scale.

• Advanced Fine-Tuning: Enhancing fine-tuning methodologies - both LoRA-based and full-parameter - for cutting-edge LLMs (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-4.7), focusing on both model quality and training efficiency.

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. This involves building model training and evaluation pipelines in JAX for speculative decoding, experimenting with architectures (dense/MoE, auto-regressive/parallel), and deriving scaling laws to guide resource allocation.                                                                                
• Low Precision Training & Inference: Investigating low-precision (FP8, NVFP4/MXFP4) methodologies for supervised fine-tuning and reinforcement learning - spanning both inference and training - optimized for modern hardware

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning.

• Deep expertise in modern deep learning for language processing and generation

• Experience with training large models on multiple computational nodes

• Reasonable understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)

• Strong software engineering skills (we mostly use Python)

• Deep experience with modern deep learning frameworks (we use JAX)

• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

• Strong communication and leadership abilities

Nice to have:

• Previous experience working with language models or other similar NLP technologies.

• Familiarity with important ideas in LLM space, such as MHA, RoPE, ZeRO/FSDP, Flash Attention, quantization

• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.

• Strong engineering skills, including experience in developing large distributed systems or high-load web services.

• Open-source projects that showcase your engineering prowess

• Excellent command of the English language, alongside superior writing, articulation, and communication skills.

The role 

The Data Engineering team is responsible for building and maintaining robust data infrastructure that powers analytics, and business intelligence across Nebius. We design and implement scalable data pipelines, optimize data storage and processing, and enable data-driven decision making across the organization. The team works closely with product teams and business stakeholders to ensure alignment with company goals.We are looking for a Data Engineer to design, build, and maintain our data infrastructure and pipelines. You will work on processing large-scale datasets, optimizing data workflows, and enabling analytics capabilities that support our rapidly growing cloud platform.

Your responsibilities: 

• Design, develop, and maintain scalable data pipelines.
• Build and optimize data infrastructure.
• Implement data quality monitoring and validation frameworks.
• Optimize data storage, processing, and query performance for large-scale datasets.
• Design and implement data models for analytics and reporting use cases.
• Develop tools and automation to improve data engineering workflows and productivity.
• Ensure data governance, security, and compliance standards are met.
• Participate in on-call rotation to support production data systems.

Must-haves: 

• 3+ years of experience in data engineering or related roles.
• Experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, Prefect, Dagster).
• Strong proficiency in SQL and solid programming skills in Python.
• Experience with distributed data processing frameworks (e.g., Apache Spark, or similar).
• Knowledge of data modeling principles and best practices.
• Understanding of data architectures and storage systems.

Nice-to-haves: 

• Experience with real-time data streaming platforms.
• Familiarity with Infrastructure as Code tools (Terraform, etc).
• Experience with containerization (Docker) and Kubernetes.
• Knowledge of data governance and privacy frameworks (GDPR, SOC2).
• Knowledge of data quality and observability tools (Great Expectations, etc.).

We conduct coding interviews as part of the process.

The role

We’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform.
We have a lot of tasks on Golang and little less on Java and Python.
You're welcome to work from our offices in Prague, Amsterdam, or Berlin— hybrid or remotely.

In this position, your responsibility will be to:
Developing 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
• Excellent knowledge of Golang or you are ready to quickly switch to this programming language
• Ability to write reliable code and dig into complex problems
• Teamwork-oriented approach

It would be an added bonus if you had:

• Experience designing high-load and scaling services

We conduct coding interviews as part of the process.

The role

Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include: 

• Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

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 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 role

We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

You’re welcome to work from any DACH country (Germany, Austria, Switzerland).

Your responsibilities will include: 

• Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
• Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
• Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
• Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
• Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We expect you to have: 

• 5+ years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
• Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
• Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
• Excellent communication skills, fluency in German or French preferred
• Customer-centric mindset

It will be an added bonus if you have: 

• Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
• Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
• Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) 

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives

We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.

Unicorn momentum

In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About the role

Throughput. Latency. KV cache utilization.

Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.

The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.

Stack

Python; vLLM; SGLang; TensorRT-LLM; PyTorch; CUDA-adjacent tooling; Kubernetes; gRP; ClickHouse; PostgreSQL; GCP Pub/Sub; AWS / GCP / Azure; GitLab CI; ArgoCD; Prometheus; Grafana; Loki; Tempo.

Requirements:

• 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
• Strong Python - production services, not scripts.
• Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
• Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
• Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
• A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
• Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.

Responsibilities:

• Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
• Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
• Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
• Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
• Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
• Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
• Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.

What’s in it for you?

• Competitive salary (depending on the level of experience).
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Why this role is exciting

As a Senior Software Engineer, Connectivity at Vay, you’ll help build and optimize the networking backbone that makes remote driving possible. Our Connectivity team owns the low-latency real-time video streaming and data transport systems that connect our vehicles with our telestations across cellular and satellite networks. This is a hands-on engineering role where performance, reliability, and safety matter every day, and where your work will directly shape the quality of the remote driving experience.

You’ll work on a latency-sensitive distributed system, test your solutions on state-of-the-art hardware, and use real production data to investigate incidents, improve performance, and keep pushing our network stack forward.

What you'll be driving

• Develop, optimize, and maintain high-performance network stack used to transport data (video, audio, control, telemetry) between the vehicle and the telestation with a strong emphasis on clarity, maintainability, and efficiency.
• Integrate the Vay network stack into various target hardware and software platforms.
• Extend and maintain network testbeds and CI infrastructure.
• Profile and optimize the performance of the system.
• Triage incidents from the production system and create fixes/improvements.

What are we looking for

• Strong proficiency in modern C++ (C++17 or later), with a focus on high-performance, multi-threaded applications.
• Experience working in Linux-based environments.
• Solid understanding of networking fundamentals and protocols (TCP, UDP).
• Ability to analyze and optimize systems.
• Strong problem-solving skills and a research-oriented mindset.
• Experience working on distributed systems.
• Good interpersonal and communication (oral and written) skills

Nice to have:

• Understanding of networking and wireless technologies, including LTE/5G, WiFi, Starlink, and experience with tools like Wireshark for traffic analysis.
• Hands-on experience with streaming protocols, such as RTP/RTCP/RTMP/SRT, and media frameworks, such as GStreamer, FFmpeg, or DirectShow.
• Familiarity with congestion control algorithms and network simulation environments.
• Experience with building and deployment (e.g. CMake, Docker, Yocto), and scripting languages such as Python or Lua.
• Experience in real-time or embedded systems development, with knowledge of modem configuration via AT commands.
• Background in performance analysis and debugging, using tools like perf, perfetto; and graphical UIs like ImGui.

Why choose Vay

💪 A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality

🌍 Huge scope for impact in a fast paced environment

💰 ESOP stock options: A stake in Vay’s future - not just a salary

🌴 Unlimited Paid Vacation Days

🎫 Subsidised Deutschland ticket (Berlin)

🏋️‍♂️ Subsidised Urban Sports Club or FitX Membership 

🚗 All Vay team members receive 30% off their Vay rides

🛍️ Exclusive external discounts

💼 €350 Home Office Set-up 

✈️ Relocation financial assistance when relocating to Berlin 

📚 Fully funded German Lessons 

🎊 Regular team events throughout the year

Your Mission

As a Backend Software Engineer in the Applications Team, you will help build and maintain the backend services that power Sparetech’s customer-facing web application. You’ll work closely with frontend engineers (React/TypeScript), Product, and Design to deliver reliable, secure, and scalable user-facing workflows (e.g., collaboration, search, material management, BOM self-service, Insights).

We offer you the opportunity to

• Be a central pillar for the success of SPARETECH in the early stages of our startup by contributing your own ideas and participating in decisions.
• Continuously develop your skills through hands-on learning and access to the latest technologies.
• Own features end-to-end: from requirements and technical design to implementation, testing, rollout, and support.
• To work in a fast-paced, collaborative environment with a focus on delivering high quality solutions on time.
• Solve complex product problems and collaborate with a cross-functional team of product managers, designers and fellow engineers.

Become a part of our team if you

You can expect

• A remote-yes company, where you can decide every day whether you work from home, at our Stuttgart or Munich office, or at any Design Office in Germany.
• A permanent employment contract, 30 days of vacation, and the opportunity to participate in the company's success through our VSOP program.
• Modern hardware and the frame for a height-adjustable desk.
• An annual training budget of 1000,00 EURO for your professional development.
• In Germany: A subsidized job bike to escape city traffic and a Wellpass gym membership to stay active.
• A dynamic start-up atmosphere and an international team in which new ideas, creative approaches, and cooperation at eye level are valued.
• To enjoy Corporate Benefits, including discounts on fashion, travel, and much more from various companies.

Available Locations: Amsterdam, Netherlands, Lisbon, Portugal, London, United Kingdom, Munich, Germany, Paris, France

What You’ll Do

The Pre-Sales Solutions Engineering organisation is responsible for the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and efficient adoption roadmaps for our customers. Solution Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, curious and collaborative team.

As a Solutions Engineer, you are the technical customer advocate within Cloudflare. You will aid your customers and will work closely with every team at Cloudflare, from Sales and Product to Engineering and Customer Support to do so. Your goal of customer success should drive you through the entire organisation as you seek out and create scalable solutions for your customer’s needs.

The range of products and solutions offered by Cloudflare are broad so that we are able to meet our lofty goal of helping to build a better Internet. A broad knowledge of Internet performance and security technology is required, the curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare. All the resources and training required to be effective for the role, will be provided.

Examples Of Desirable Skills, Knowledge And Experience

Our Solutions Engineers come from a wide range of backgrounds: IT, engineering, software development, product management, financial consulting, customer support & project delivery. We're serious about building a diverse team. When hiring we look for diversity of experience combined with genuine curiosity for our technology.

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty. You appreciate the diversity of challenges in working with customers, and look forward to helping them realise the full promise of Cloudflare. On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other.

You will have a good fundamental understanding on how to obtain the technical win so that customers choose our proposed solutions over that of competitors.

Additional experience might include a combination of the skills below: 

• 3-to-10 years of experience in the IT industry (early or mid-level experience).
• Fluent Czech and English (written & spoken).
• Ability to manage a project, work to deadlines, and prioritise between competing demands.
• Demonstrating empathy with customers and quickly identifying challenges and pain points they face. 
• Understanding of “how the internet works”. For example:
• Know the differences between TCP & UDP, and understand what kinds of applications may favour one over the other;
• Can explain the difference between authoritative DNS & recursive DNS?;
• You understand the role of a firewall, why TLS (SSL) plays an increasingly important role on today's Internet, a solid understanding of HTTP and a willingness to dive deeper into the quirks of clients & servers alike;
• Understanding of how customers make buying decisions, how to explain ROI.
• A knowledge of the competitive landscape for one or more of: DDoS, CDN, Performance, DNS, Developer platform or Zero-Trust/SASE service providers.
• You're OK with some (10-15 days per quarter) travel without travel restrictions: we expect to travel to customer offices, conferences and/or do talks. 

Bonus! 

• Previous experience in a pre-sales SE or consulting role. (note: doesn't have to be in tech);
• Demonstrated experience with a scripting language (e.g. Python, JavaScript, Bash) and a desire to expand those skills;
• Exposure to emerging technical landscape trends in Security such as Zero Trust. 

Available Locations: Netherlands, United kingdom, Germany, Portugal, France, Sweden

About Solutions Engineering at Cloudflare

The Pre-Sales Solution Engineering organization owns the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solutions Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, experienced and curious team. 

What you'll do as a Solutions Architect

The Solutions Architect is a senior technical leadership role. You are a customer facing hands-on technologist with credibility built on domain expertise across Cloudflare portfolio.  You should have solid experience in influencing enterprise architecture design across various senior buyer personas both at customers and partner organizations. Your role will be to convince these decision makers of the long term value of thinking of Cloudflare as a strategic technology partner. 

You will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.

You will work as a part of a highly visible structured pursuit team attached to designated strategic accounts, working to understand their unique business challenges and priorities with a goal of defining short and long term solution architecture with Cloudflare as a centerpiece. An equally important component of this role is the expectation that you scale your expertise and knowledge across the wider Pre Sales Solution Engineering organization.

Specifically, we are looking for you to:

• Build and maintain the long term technical relationship of key accounts, ensuring the successful design, proof and adoption of Cloudflare as a part of the customers critical infrastructure.
• Identify and drive strategic conversations with key stakeholders with the purpose of increasing our reputation and authority within the business, and further establishing our footprint within the customers landscape.
• Be the voice of the customer, engaging and influencing Product Management and Product Roadmap to serve their needs. 
• Demonstrate your expertise of Cloudflare within your field through the creation of professional content, including white papers, reference architectures, blog posts.
• Represent and Evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise.
• Apply in-depth vertical knowledge or domain expertise. Advise on best practices.

Desirable skills, knowledge and experience

• 7+ years of experience in similar role or experience in a technical leadership role
• Previous experience as a solution architect, consultant or technical marketing engineer building, architecting or deploying security solutions
• Good understanding of AI, security challenges and its applicability to today’s enterprise landscape
• Proven track record using it to help drive revenue.
• Strong knowledge of Security Architecture, Design and Operations
• Working knowledge of the broader threat landscape and the ability to distill technology trends, and explain complex behaviors in simple terms
• Proven experience working with customers and partners in successful design and deployment of solutions
• Ability to juggle and successfully drive projects with customers, prospects, and partners.
• Experience with cloud computing solutions implementations including Microsoft 365, Azure, Google, AWS.
• Experience with Application, Security, Performance and Reliability products such as WAF, Bot Management, DDOS, Firewall, DNS and CDN.
• Knowledge of competitive market  around CDN providers, Web application Firewall, Remote access solutions, Next generation Firewalls, DDOS mitigations solutions, SD-WAN solutions , Secure Gateway solutions, SSE/SASE
• Proven hands-on experience with information security solutions such as Web Proxy, NGFW, Security Gateways, SIEMs, SAML/SSO, DLP, Data security and protection technologies such as HSM, Tokenization & encryption gateways.  
• Experience working with Identity Providers such as Entra AD, Okta, Ping, OneLogin, etc.
• Knowledge of web application programming XML, REST/SOAP API’s, REST, JSON,
• Experience in cloud computing based services architecture, technical design and implementations including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) delivery models.
• Knowledge of scripting languages such as Python and IAC products like Terraform
• Knowledge of security and cryptography.
• Knowledge of cloud/virtualization technologies and containerization

Available Locations: London, Amsterdam, Lisbon, Munich, Paris

What you’ll do:

The Pre-Sales Solutions Engineering organization is responsible for the technical sale of the Cloudflare solutions portfolio, ensuring maximal business value, fit-for-purpose solution design, and efficient adoption roadmaps for our customers.

As a Solutions Engineer, you are the technical customer advocate within Cloudflare. You will aid your customers and work closely with every team at Cloudflare, from Sales and Product to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.

Technology moves at lightning speed; a broad knowledge of Internet performance and security technologies is required, and the curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare.

Examples Of Desirable Skills, Knowledge And Experience:

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts—like how an edge network reduces "lag" or how WAF rules protect a player's wallet—in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty.

You appreciate the diversity of challenges in working with customers, from managing "micro-burst" traffic spikes to navigating regulatory requirements. You will find a collaborative environment where everyone brings different strengths and jumps in to help each other obtain the technical win so that customers choose Cloudflare to protect and accelerate their platforms.

Additional experience might include:

• Language: fluent in Polish and English
• 5-to-10 years of experience in the IT industry.
• Vertical Expertise: Understanding the cloud architectures, with main focus on security layers, such as CDN, WAF, SASE and Anti-DDoS..
• Technical "How the Internet Works": * Deep understanding of TCP vs. UDP, why it matters and why it's so critical from security point of view;
• Solid understanding of DDoS mitigation strategies at Layers 3, 4, and 7 to prevent services disruption.

Pre-Sales Excellence: Previous experience in a technical consulting or SE role, with a track record of demonstrating ROI to CTOs and Infrastructure Leads.

• 
  Project Management: Ability to manage complex Proofs of Concept (PoCs) and prioritize between competing demands in a fast-paced environment.
• Communication: Excellent presentation skills with a strong command of business English. 
• Market Knowledge: Familiarity with the competitive landscape for CDN, Zero-Trust, and SASE providers.
• Travel: Ability to travel to customer sites, industry events and internal summits.

Bonus!

• Scripting Skills: Demonstrated experience with JavaScript, Python, or Rust, and a desire to help customers build the next generation of serverless features on Cloudflare Workers.

• Security Trends: Exposure to emerging trends such as Zero Trust for securing internal employees traffic or remote-work environments.

About the opportunity

Contentful is undergoing a core pivot: evolving from a developer-centric CMS into a unified creation environment where marketers are first-class citizens. We aren’t just adding a UI; we are re-engineering how the world’s biggest brands create digital experiences.

As the Senior PM for Marketer Experience, you will drive this 0 to 1 evolution. You aren’t just "adding a UI", you are driving the evolution of our product to turn our powerful technical engine into an intuitive, high-velocity tool that marketing teams love to use.

What to expect? 

• Drive the Pivot: Evolve a high-level strategic vision into a concrete product. You’ll take the lead on making Contentful a "home" for marketers, ensuring the product stays powerful but becomes accessible.
• Define the "Right" Enterprise Scope: You won’t just build "simple" tools. You will deeply understand the needs of complex global enterprises and define a scope that is sophisticated enough for their scale, yet lean enough to ship and iterate quickly.
• Obsess Over Usability: Quality for you is measured by how great, powerful, and easy-to-use the tools are for marketers, ensuring user autonomy. You win when a marketer can build and launch a complex global experience independently—without needing a developer for every change.
• Cross-Team Collaboration: You must collaborate effectively with other product and engineering teams. This project has high dependencies across the organization; success requires navigating the ecosystem.

What you need to be successful?

• 0→1 Experience: You’ve taken a product from "messy idea" to "polished reality" before. You thrive in ambiguity and create your own clarity.
• The "Surgical" Scoper: You can demonstrate a track record of navigating complex requirements and distilling them into a clear, prioritized product definition that meets user needs.
• Persona Empathy: You can speak deeply with a systems engineer about architecture, then turn around and advocate for a marketer’s workflow with equal passion.
• Grit: You have stories of pushing through setbacks and evolving a product based on real-world feedback.
• Commercial Mindset: You can clearly tie customer problems and product solutions to business outcomes. You understand that solving a marketer's pain point is only a win if it also drives adoption, retention, and competitive advantage.
• Exceptional communication abilities, including an executive presence, are necessary, with the expectation of confidently articulating product strategy in discussions with customers and sales teams.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the Opportunity

Join Contentful as a Fullstack Software Engineer (f/m/d) and Innovate with Automations, Workflows, and Collaboration Tools.

Become a part of the innovative team at Contentful, where we empower thousands of customers to manage content at scale. We're seeking talented Full Stack Software Engineers who are passionate about building scalable, high-performance applications using modern technologies. If you're excited about pushing the boundaries of what's possible in the domain of Automations, Workflows, and team collaboration within the Contentful ecosystem — and have experience with TypeScript, React, and Node.js — we'd love to have you on our team.

What to expect? 

• Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class automation, workflow, and collaboration features for our customers.
• Full Stack Development: Design, develop, and maintain scalable frontend and backend features using TypeScript, React, and Node.js.
• Collaboration Tools Integration: Implement and integrate collaboration technologies to enhance team productivity and improve user experiences across the platform.
• Holistic Thinking: Consider components and systems while considering a holistic user experience.
• Rapid Problem-Solving: Quickly fix bugs and solve problems to enhance customer satisfaction.
• Data-Driven Development: Utilize analytics to inform product decisions and improve features.
• Continuous Improvement: Participate in code reviews and contribute to improving our development processes.
• Stay Current: Keep up-to-date with the latest industry trends especially in the domain of automations, workflows, and collaboration tools.

What you need to be successful?

• Proven Experience: Demonstrable experience as a Full Stack Software Engineer in a product development environment.
• Technical Proficiency: Strong skills in TypeScript, React, and Node.js. Interested in clean code practices and familiarity with enterprise architectural design patterns.
• Containerization and Orchestration: Experience with Docker and Kubernetes.
• Cloud Services Familiarity: Knowledge of cloud platforms like AWS, Azure, or GCP.
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Excellent communication skills and the ability to work effectively in a team environment.
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.

Preferred:

• DevOps Practices: Understanding of CI/CD pipelines and DevOps methodologies.
• Past Project Experience: Previous experience working with automation engines and/or building collaboration features and team workflow tools highly appreciated but not required.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the Opportunity

As a Senior Software Engineer focused on content storage infrastructure domain you will be responsible for innovating and maintaining Contentful’s underlying storage infrastructure and adjacent services. You will work on the very foundation of Contentful that our teams build on top of, but also have the opportunity to directly impact our customers’ experience with scalability and performance features.

You’ll join a team of thoughtful, collaborative engineers who support each other, share knowledge freely, and work closely with teams across domains. If you’re someone who thrives on responsibility and takes pride in building highly scalable and reliable systems that enable others - this might be the right place for you.

The team is placed in the infrastructure group.

What to expect?

• You’ll further design and develop our content storage infrastructure is foundational to the billions of requests we are serving today
• You’ll work with AWS using Terraform and Infrastructure-as-Code best practices
• You’ll collaborate closely with teams in the content storage and delivery domains
• You’ll develop and maintain services written in Typescript and Go
• You’ll help us stay ahead of operational risks - anticipating bottlenecks or failure points before they cause problems.

What you need to be successful?

• Proven experience in software development and systems engineering experience
• Strong understanding of relational database engines (preferably PostgreSQL)
• Thorough AWS knowledge across core services: RDS, S3, Lamda, SNS/SQS
• Terraform and Kubernetes expertise
• Kafka experience is a plus
• Proficiency in at least one modern programming language (Typescript, Go)
• Experience with observability stacks (metrics, logs, tracing) and tools like Splunk and DataDog
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Ability to work effectively in a team environment
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.
• Excellent English communication skills, verbal and written (German not required).
• A collaborative mindset: you're helpful, respectful, and enjoy sharing knowledge
• Ability to context switch, work through ambiguity, and contribute across multiple workstreams
• You lead by example, mentor others, and embrace a culture of safe experimentation and continuous improvement

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package health/dental/vision care package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

Mission Brief 

You will be an integral part of the Avionics, Guidance, Navigation & Control (AGNC) department, specifically the Avionics Hardware team, that designs and integrates Avionics on our launch vehicle. Your day-to-day job will include working on the Power System of Spectrum, as well as maintaining associated power system interfaces. You will take ownership of Spectrum’s Avionics Li-Ion Batteries which will include developing, integrating and testing. Interdisciplinary tasks and fast paced R&D are your daily business, and you thrive in that kind of environment.

Your Role in Our Space Mission: 

• Be the product owner of Spectrum’s Avionics Li-Ion Batteries.
• Own all interfaces of your product across its lifecycle, from design to manufacturing to verification and integration, including all technical and programmatic interfaces.
• Take on unit level tasks including design, qualification & acceptance testing, as well as integration and return analysis.
• Support vehicle integration and testing, both in Germany and on the launch pad
• Maintain, challenge and verify Power System requirements.
• Build up and maintain automated qualification & acceptance testing infrastructure for the Power System and FTS components.
• Be the product owner of the battery testrig

Qualification Checklist 

• BSc/MSc in Electrical Engineering, Energy Science and Technology or comparable
• 5+ years of working experience with complex PCBs and Electronic Units and Li ion batteries
• Excellent knowledge of circuit theory, electronics, signal processing and power electronics
• Extensive experience in E-CAD tools (Schematic & Layout Design), preferably Altium Designer
• Extensive knowledge of semiconductors and solid-state power controllers
• Excellent knowledge of Li-Ion battery system technology and state-of-the-art cell chemistries
• Excellent experience in Li-Ion battery pack design and relevant battery testing.
• Hands on mentality and can-do attitude
• Fluent in spoken and written English

Bonus Skills

• Previous product ownership
• Experience with launch vehicle flight termination systems and flight safety is a plus
• Experience with SMC or RCC standard is a plus

Benefits 

• Employee Participation Program: Share in our success through our virtual company share program
• 30 days of vacation: Enjoy the days off to relax and recharge
• Company pension plan: Secure your future with our company pension plan, featuring a 20% employer contribution after the probation period
• Subsidised lunch: Stay energised with delicious, subsidised lunches every day
• Public transport ticket: Commute with ease using a fully financed Deutschlandticket
• Sport Clubs membership: Stay fit with our sponsored sports club memberships (EGYM Wellpass)
• Individual learning allowance: Grow your skills with an individual learning budget granted after the probation period
• Childcare allowance: Receive a childcare allowance for your non-school-age children
• And Much More! Discover additional perks and benefits when you join our team        

Who we are

We are Isar Aerospace and we are at the forefront of New Space building a modern space business to enable faster, better and cheaper access to space.

Our mission is to help democratise space and use it for good in order to improve life on Earth now and for the future generations.

We are a fast-growing company aiming to provide sustainable and environmentally friendly launch solutions for small and medium-sized satellites and constellations into Low Earth Orbit. The company is privately funded by world-leading technology investors with strong commitment and support and our team is made of driven and talented people with a real passion for space innovation.

We're making rockets in a way that hasn't been done before disrupting a traditional industry. If you are up for the challenge, want to work on cutting-edge projects and be part of a team changing the world for better, come, join us and launch your career!

Want to find out more about us?

Visit www.isaraerospace.com

Data Protection
We process your personal data for the purpose of managing the recruitment process and assessing your application. For detailed information on how your data is processed, including your rights, please refer to our Privacy Policy.

Disclaimer
Isar Aerospace SE is an equal-opportunity employer committed to fairness and inclusivity. We do not prioritize any specific religion, gender, nationality, or background. Due to security clearance requirements, affiliations with countries listed under § 13 para. 1 no. 17 SÜG may affect the application process. All qualified applicants are encouraged to apply.

Role

Our perception technology, in particular pose estimation, is a key differentiator of the Intrinsic platform and enables our users to build flexible automation solutions. The perception experience team builds tools that significantly improve developer productivity when adding perception to an application, from camera onboarding and calibration to training and running a pose estimation algorithm.

We are seeking a highly skilled Software Engineer to join our dynamic perception team working at the heart of Flowstate, our first product built on the Intrinsic platform. In this role, you will be responsible for developing new user interfaces focused on perception user journeys, improving existing user journeys, and integration with the rest of the Intrinsic platform and backend APIs. You will develop the full stack of web interfaces for end-to-end perception tasks, ensuring a cohesive and user-friendly experience throughout our platform. The interfaces you build will shape our product and the role of the human in it.

You are excited by the prospect of owning critical pieces of our user experience (including collaborating with the Product and Design teams, and developing tests). You are excited to work with real cameras and robotic hardware. You have excellent development skills across the web application stack and are excited to be part of a world-class, innovative, frontend team.

How your work moves the mission forward

• Develop intuitive and innovative perception interfaces in collaboration with Product, Design, and Engineering teams.
• Own individual workflows or web UIs critical for Intrinsic’s perception product(s).
• Collaborate closely with product, design, and cross-functional engineering teams to deliver cohesive and delightful user experiences.
• Contribute to the end-to-end tech stack, integrating frontend with backend systems to enable seamless human-robot interaction.

Skills you will need to be successful

• At least Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• At least 5 years of professional experience in frontend web application development, with proficiency in modern JavaScript/TypeScript and experience with a major web framework (e.g., Angular, React).
• Experience in backend development (Go, C++, Python, etc.).
• Willingness to learn or familiarity with 3D computer vision, registration techniques, or similar perception topics.
• Experience with building visually-rich web applications. 
• Excellent collaboration skills, particularly when working with product and design teams.
• Good written and verbal communication skills in English.

Skills that will differentiate your candidacy

• Experience with 3D graphics and visualization libraries (e.g., Three.js, WebGL) in a web context.
• Experience in building human-machine interfaces for robotics or perception or complex industrial systems.
• Experience with user studies or gathering user feedback to iterate on prototypes.

Role

As a Full Stack Senior Software Engineer in our Product Development Team for Robotic Solutions you will work closely together with different stakeholders to develop production ready software for scalable robot applications based on our Intrinsic Platform. You will be part of the entire development journey, from scoping the right technical solution, analyzing dependencies and needs up to actual development and testing.   

How your work moves the mission forward

• Synchronize with product management and platform development to take the right architecture decisions, which ensure long term maintainability and stability. 
• Implement high quality software with state of the art tooling as part of an experienced team of developers.
• Be hands on in testing on real hardware and supporting customers where needed.
• Ensure a smooth transition of feature releases to the Customer Success Team, which will take care of most customer facing enablement and support. 

Skills you will need to be successful

• Master’s degree or equivalent practical background in Computer Science, Robotics, or a related technical field.
• Experience implementing user facing web-based frontends and associated backends in the context of robotics and industrial automation.
• Professional work experience with Python + TypeScript / JavaScript.
• Demonstrated capability in technical leadership, including setting technical direction and guiding development efforts towards successful outcomes.
• Excellent collaboration skills, with the ability to work effectively with internal cross-functional teams and external technical partners.

Skills that will differentiate your candidacy

• Proven track record developing and deploying frontend and backend production code for industrial robotics and automation solutions within manufacturing or production environments.
• Good understanding of concepts such as coordinate transforms, quaternions and pose representations.
• Familiarity with web-based 3D Visualization.
• Ability to drive sustainable architecture decisions and experience with appropriate testing approaches.
• Experience with Angular, Bazel, gRPC and Protocol Buffers.

About the role

At Applied Intuition, you will:

• Develop and debug our autonomous stack on embedded compute platforms
• Work closely with machine learning engineers to optimize perception models for embedded performance
• Interface with automotive middleware and communication protocols (IPC, Ethernet, DDS)
• Support vehicle operations, SIL (Software-in-the-Loop) and HIL (Hardware-in-the-Loop) setups
• Leverage AI-accelerated development tools and workflows

We're looking for someone who has:

• 5+ years of hands-on experience in C/C++ on POSIX and RTOS environments
• Direct experience with automotive SoCs (NVIDIA Orin, Qualcomm Snapdragon Ride or similar)
• Strong low-level understanding of hardware accelerators including encoders, DSPs and GPUs
• Deep knowledge of operating systems, specifically QNX and Linux
• Hands-on experience with microcontrollers, hardware debuggers and flashing interfaces

Nice to have:

• Advanced degree (MSc or PhD) in Computer Science, Robotics, Electronics or related fields
• Experience with ADAS or autonomous driving systems
• Machine learning experience, ideally in perception
• Full product cycle experience from first prototype to series production
• Familiarity with ISO 26262, ASIL or MISRA C++

As part of Tenstorrent’s Automotive Robotics team, you will help define and develop silicon hardware for mobility and robotics solutions. You will work with architects and hardware designers to make the right tradeoffs between performance, safety, and cost. You will lead the creation of safety work products and drive safety analysis across a range of hardware modules.

This role is remote, based in Munich, Germany.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• An expert in silicon hardware development, with robotics or automotive systems knowledge as a plus.
• Experienced in ISO26262, IEC61508, and or other relevant safety standards.
• Excellent at working with hardware designers to define novel solutions that maximize performance and safety.

What We Need

• Somebody able to work with RTL designers to make safe design decisions.
• 5+ years of experience with executing, and helping others execute; required safety analysis and safety work products.
• Somebody able to work with team members and safety assessors to certify hardware designs.

What You Will Learn

• Every facet of hardware design for the automotive and robotics semiconductor industry.
• How cutting edge machine learning and AI shape safety critical compute platforms.
• Improving workflows and validation practices in a fast-moving environment.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is leading the industry on state of art AI technology, having developed high performance RISC V CPUs from scratch and fostering a deep passion for building the best AI platforms. We are now extending this philosophy to our Open Chiplet Atlas initiative, an open ecosystem built to connect diverse partners around a shared architecture. This role sits at the front line of that effort, driving real adoption with customers and partners.

This role is remote, based out of Munich, Germany.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Comfortable operating at the intersection of technology, ecosystem partners, and business strategy.
• A strong communicator who ensures alignment across technical, business, and partner teams.
• Proactive, adaptable, and capable of thriving in the ambiguity of building a new ecosystem.
• Driven by impact and motivated to shape the future of chiplet based computing platforms.

What We Need

• Bachelor’s degree in a technical field, for example, Engineering or Computer Science, or equivalent practical experience demonstrating deep technical understanding. An MBA is a strong plus.
• 5+ years of experience in technical marketing, technical support, and customer engagement within the semiconductor industry.
• Good understanding of chiplet or SoC architecture, silicon design flows, and system level tradeoffs.
• Experience with HDLs (Verilog/VHDL), industry standard ASIC SoC design tools and flows, familiarity with chip packaging technologies, and chiplets is a plus
• Familiarity with the semiconductor industry, including industry standards bodies, for example, PCI SIG or CXL Consortium, or interconnect protocols, for example, UCIe or AMBA. Experience working with open source hardware projects is a plus.
• Exceptional communication and presentation skills, with the ability to influence both technical and executive audiences.

What You Will Learn

• How an open chiplet ecosystem integrates diverse IP, designs, and software from multiple partners.
• The strategic balance of market requirements, partner needs, and technical tradeoffs, including performance, cost, and interoperability, for an open standard.
• Best practices for launching, managing, and scaling an industry wide compliance and certification program.
• Insights into emerging business models and technologies in heterogeneous computing and open hardware.
• How to build consensus and drive adoption across a diverse, global community of partners and customers.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is looking for a Sr. Design Verification Engineer to lead verification efforts on state of art digital designs. This role owns verification strategy, builds advanced test environments, mentors engineers, and ensures designs are fully tested for functionality, performance, and quality. You will help shape how we verify the compute engines that power the open future of AI and high performance compute.

This role is remote, based in Munich, Germany.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Lead the definition and execution of comprehensive verification plans for complex digital blocks and systems.
• Drive verification methodologies and strategy across projects, setting best practices and standards.
• Build advanced test environments using SystemVerilog and UVM, and execute testbenches, cases, and coverage.
• Collaborate with architecture, design, and software teams to align on specifications and debug issues.
• Guide and mentor junior engineers, contributing to a high performing verification team.

What We Need

• 10+ years of industry experience in digital design verification with a strong record of technical leadership.
• Deep expertise in SystemVerilog and UVM, along with familiarity with formal verification methods.
• Strong understanding of computer architecture, microarchitecture, and SoC integration.
• Hands-on experience with tools like Questa, VCS, or similar simulation environments.
• Excellent communication skills and the ability to lead cross functional collaboration.

What You Will Learn

• Work at the intersection of next gen RISC V CPUs and AI accelerators in a chiplet based architecture.
• Influence verification strategy across multiple product lines in a rapidly evolving tech environment.
• Collaborate with top tier hardware architects and software teams building full stack solutions.
• Gain exposure to silicon bring up, post silicon validation, and end to end product delivery.
• Help shape industry leading verification methodologies in a fast paced, innovation first culture.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

As part of Tenstorrent’s Automotive Robotics team, you will help design and deliver the core hardware modules inside our next generation chiplet based SoCs for automotive products. You will be the bridge between silicon design, DFT, OSAT partners, and customers to ensure our multi die SiP platforms meet aggressive performance, quality, and safety targets.

This role is remote, based in Munich, Germany.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Experienced with industry standard ATPG and DFx insertion CAD tools.
• Fluent in RTL coding for DFx logic including lock-up latches, clock gates, and scan anchors.
• Able to translate system and safety requirements into concrete constraints on package architecture, DFT insertion, and support test engineering with planning, patterns, and debug.
• Comfortable working in a cross functional role that extends beyond DFT, including low power designs with multiple clock domains.
• Knowledge of fault models including Stuck-at, Transition, Gate-Exhaustive, Path Delay, IDDQ, and Cell Aware.
• Exposure to post-silicon testing and tester pattern debug are major assets.
• Experience with Fault Campaigns a plus.

What We Need

• Define DFx strategy for multi chiplet packages from architecture through high volume production.
• 10+ years of experience working across multiple teams and multiple companies to coordinate test, yield, and quality efforts.
• Feed lessons learned back into next generation SiP architectures, DFT strategy, and test content.
• MBIST, LBIST, IST planning, implementation, and verification.
• JTAG, Scan Compression, and ASST implementation.
• ATPG and test coverage analysis using industry standard tools.

What You Will Learn

• How to bring a SiP to high volume, automotive grade production.
• How chiplets, RISC V CPUs, AI accelerators, and die to die links come together in a unified automotive platform.
• How to trade off package architecture, DFT, and test cost to hit aggressive performance, quality, and reliability targets.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is seeking a high impact Emulation Engineer to help bring our SiP based AI or ML engines to life through scalable, high performance emulation platforms. This role is ideal for someone who thrives on technical ownership, solves system level problems, and wants to influence silicon debug, DV, and performance from the ground up. You will build the infrastructure that allows our chiplet based systems to be explored, tested, and validated across hardware, software, and architectural layers.

This role is remote, based in Munich, Germany.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Bring 10+ years of SoC or ASIC experience, including a deep understanding of logic design, verification, and emulation platforms.
• Fluent in Verilog or SystemVerilog, C or C++, and SystemC, with hands-on experience using commercial emulators such as ZeBu, Palladium, or Veloce.
• Confident in architecting DV and emulation environments, from transactors to monitors to debug hooks, and automate everything you can.
• Collaborative and self driven, with a passion for mentoring junior engineers and working cross functionally with architecture, software, and DV teams.

What We Need

• A passion to build and scale a multi chiplet emulation ecosystem that supports DV, software development, and power or performance debug.
• Comfort in developing testbenches, transactors, monitors, and support systems to enable high quality, high efficiency emulation usage.
• Experience in driving emulation coverage from functional and performance to low level software enablement, and automate as much of the flow as possible.
• To optimize the platform for frequency, resource sharing, and end user support, ensuring Tenstorrent teams get the most from emulation.

What You Will Learn

• Building an emulation flow that supports chiplet based SiPs at scale, spanning AI workloads, interconnects, and system level power.
• How Tenstorrent integrates AI engines, RISC V CPUs, die to die links, PCIe, UCIe, and memory controllers into one unified platform.
• To align virtual prototyping, power analysis, and emulation into a full stack validation solution.
• How emulation sits at the core of a cross functional silicon bring up strategy, from RTL to post silicon debug and customer delivery.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

As a pivotal member of our European expansion and a key bridge between our customers and engineering teams, you'll be at the forefront of deploying Tenstorrent's AI solutions across the EMEA region. This is a unique customer-facing technical role that combines systems engineering expertise across hardware, software, and firmware with customer success leadership. You'll serve as the trusted technical advisor to our enterprise customers throughout Europe, Middle East, and Africa, helping them successfully deploy and optimize Tenstorrent Galaxy servers and AI infrastructure.

This role is remote, based out of Munich, Germany. with regular travel throughout the EMEA region (30-40%) to support customer deployments and regional team collaboration.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• A seasoned systems engineer with 8+ years across hardware, software, and firmware in HPC, AI, or high-performance computing environments.
• Customer-focused technologist who can translate complex technical concepts into business value and build trusted relationships with enterprise customers.
• Skilled at system-level problem solving—comfortable debugging issues across the full stack from silicon to application layer.
• Strong technical communicator who can present solutions to both engineering teams and customer executives.
• Comfortable with regular travel (30-40%) across Germany, Europe, Middle East, and Africa.
• German and English fluency required; additional European languages a strong plus.

What We Need

• Serve as the primary technical point of contact for enterprise EMEA customers, leading deployments, integrations, performance tuning, and troubleshooting.
• Build and maintain strategic relationships with key European customers, delivering trainings and workshops on Tenstorrent architecture, system integration, and best practices.
• Own technical execution for Galaxy server deployments from PoC through production, including system architecture (memory, storage, networking, clusters) and complex system-level debug.
• Collaborate closely with global Systems Engineering, Sales, Product, and Customer Success teams to resolve issues, improve product quality, and support business growth in EMEA.
• Act as the voice of the customer by translating feedback into engineering improvements, influencing roadmap and feature priorities, and mentoring junior engineers as the EMEA CS organization scales.

What You Will Learn

• End-to-end experience supporting enterprise AI deployments from proof-of-concept through production at scale
• Deep understanding of Tenstorrent's AI accelerator architecture and how to optimize systems for diverse customer workloads
• How to balance technical depth with customer relationship management in a fast-growing startup environment
• European AI market dynamics: automotive AI, research institutions, sovereign AI initiatives, and enterprise adoption patterns
• Cross-cultural business practices and technical collaboration across diverse European and Middle Eastern markets
• How to build and scale a regional Customer Success organization from the ground up
• Advanced system integration techniques for AI data center infrastructure

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

As part of Tenstorrent’s Automotive RTL team, you will help design and deliver the core hardware modules inside our next generation chiplet based SoC. This is a hands on role where your RTL will ship in silicon, powering real automotive systems under strict performance and safety constraints. If you are looking to build silicon that actually matters, not just compile, this is where you want to be.

This role is remote, based in Munich, Germany.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Design-first, spec-driven, and used to debugging silicon the hard way. 
• Know how to translate system requirements into clean, testable RTL. 
• Have experience writing and maintaining configurable, modular code. 
• Interested in building silicon that will run critical workloads in safety-sensitive environments. 
• Background with high-speed die-to-die interfaces preferred (UCIe, BoW, etc).

What We Need

• An engineer with 5+ years of experience to develop and own RTL for key modules in Tenstorrent’s automotive SoC chiplets. 
• Someone who can collaborate with IP vendors and internal teams to configure and integrate complex subsystems. 
• Detail-oriented in writing microarchitecture specs and translating them into clean, efficient RTL. 
• Passion to jump into chiplet-level integration, testing, and bring-up from day one.

What You Will Learn

• How automotive-grade RTL differs from consumer silicon and why it matters. 
• What it takes to bring up a custom chiplet in a real automotive use case. 
• Why chiplets demand more ownership and reward deeper engineering. 
• How cross-functional communication accelerates hardware development.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Mission Brief 

We deliver the half of the rocket that stays on the ground. As a Senior Ground Fluid Systems Engineer at Isar Aerospace, you deliver the ground fluid infrastructure required for safe, reliable, and rapid test and launch of the Spectrum rocket. This includes test-rigs for development, qualification, and acceptance of launch vehicle and propulsion systems as well as entire launch bases. You work hand-in-hand with Propulsion and Launch Vehicle development teams to translate their requirements into functional designs and concepts of operations. You tackle complex engineering challenges across multiple projects and phases – from concept to detail design, execution, commissioning, and handover to site owner and operator.

Your Role in Our Space Mission: 

• Design fluid systems for test and launch facilities, including rocket engine test-rigs, structure pressurization test-rigs, integrated stage testing rigs, launch pads, etc.
• Perform sizing calculations and/or numerical simulations for fluid systems, including cryogenic propellants storage, conditioning, and distribution systems, high-pressure gas distribution and pressurization systems, etc.
• Select and procure suitable fluid hardware, including tanks, pumps, heat-exchangers, valves, pressure regulators, safety-valves, instrumentation, etc.
• Prepare technical documentation, such as PFDs and P&IDs, hardware lists, datasheets, technical notes etc. that serve as a basis for manufacturing planning and execution
• Lead and contribute to system design reviews and risk assessments
• Act as a technical point of contact and subject matter expert for the project and operation teams, consulting on fluid system questions and decisions 
• Mentor junior and mid-level engineers and contribute to structuring and expanding knowledge in the team with guidelines, checklists, processes, presentations, etc.
• Depending on interest and experience: 
  - lead or support factory and site acceptance tests for fluid systems
  - lead or participate in commissioning planning and hands-on site operations
  - support test and launch campaigns on-site or remotely with operations or data analyses.

Qualification Checklist 

• B.Sc. or M.Sc. degree in aerospace, mechanical, process/energy/chemical engineering or an equivalent qualification
• At least 5 years of relevant professional experience in aerospace, oil & gas, energy, chemical industry, engineering service provider or similar
• In-depth experience in the design and/or operation of high-pressure gas and cryogenic liquid systems, ideally, in the context of rocket testing and launching facilities -    Experience with design and safety analyses and reviews, including HAZOPs
• Expert knowledge of fluid mechanics and thermodynamics and their application to real hardware like valves, regulators, etc.
• Strong analytical skills and able to apply theoretical knowledge to find practical solutions to complex fluid mechanic and/or thermodynamic engineering problems
• In-depth knowledge of industry standards and technical regulations which are common in plant engineering (e.g. ASME, ISO, DIN EN, PED, AD2000, ATEX)

Bonus Skills

• Modeling and simulation of fluid systems by means of software such as EcosimPro, Python/Matlab script, and/or CFD
• Hands-on experience with fluid systems, e.g., assembly of piping systems, participating in commissioning or testing operations, etc.

Benefits 

• Employee Participation Program: Share in our success through our virtual company share program
• 30 days of vacation: Enjoy the days off to relax and recharge
• Company pension plan: Secure your future with our company pension plan, featuring a 20% employer contribution after the probation period
• Subsidised lunch: Stay energised with delicious, subsidised lunches every day
• Public transport ticket: Commute with ease using a fully financed Deutschlandticket
• Sport Clubs membership: Stay fit with our sponsored sports club memberships (EGYM Wellpass)
• Individual learning allowance: Grow your skills with an individual learning budget granted after the probation period
• Childcare allowance: Receive a childcare allowance for your non-school-age children
• And Much More! Discover additional perks and benefits when you join our team        

Who we are

We are Isar Aerospace and we are at the forefront of New Space building a modern space business to enable faster, better and cheaper access to space.

Our mission is to help democratise space and use it for good in order to improve life on Earth now and for the future generations.

We are a fast-growing company aiming to provide sustainable and environmentally friendly launch solutions for small and medium-sized satellites and constellations into Low Earth Orbit. The company is privately funded by world-leading technology investors with strong commitment and support and our team is made of driven and talented people with a real passion for space innovation.

We're making rockets in a way that hasn't been done before disrupting a traditional industry. If you are up for the challenge, want to work on cutting-edge projects and be part of a team changing the world for better, come, join us and launch your career!

Want to find out more about us?

Visit www.isaraerospace.com

Disclaimer

Isar Aerospace SE is an equal-opportunity employer committed to fairness and inclusivity. We do not prioritize any specific religion, gender, nationality, or background. Due to security clearance requirements, affiliations with countries listed under § 13 para. 1 no. 17 SÜG may affect the application process. All qualified applicants are encouraged to apply.

Data Protection

We process your personal data for the purpose of managing the recruitment process and assessing your application. For detailed information on how your data is processed, including your rights, please refer to our Privacy Policy.

Join us as a Senior Backend Engineer (all genders) - Vehicle Foundation in our Vehicle Foundation team on a shared journey that matters! 

What you will do

• Research and develop passenger management systems for autonomous mobility services. 
• Bridge the data flow of the AWS-based backend infrastructure and the in-vehicle components using AWS IoT services (e.g., commands, events, metrics, logs). 
• Develop and improve the backend services used to orchestrate a vehicle’s mission. 
• Work in a bottom-up managed, autonomous, cross-functional team together with other talented engineers.  
• Participate in the full development life cycle, from design to implementation, quality assurance and maintenance.  
• Integrate AI coding assistants in the development process 
• Interface with VW Group, vendors, and other partners to align software interfaces, tooling, and hardware. 

What will help you to fulfill your role 

• Proficiency in Typescript, or another modern typed programming language used on the backend 
• Experience with AWS IoT and Serverless technologies, ideally such as Lambda, DynamoDB, and SQS. 
• Familiarity with communication protocols used to connect edge devices, such as MQTT. 
• Experience with CICD tools such as Github Actions or AWS CodeBuild. 
• General interest in embedded development. 
• Knowledge of current trends in software design, event-driven architecture, DevOps, and a strong interest in further development. 
• Interest in applying agile development practices and a proactive, flexible, and hands-on mindset.

We welcome applicants from diverse backgrounds — even if you don’t meet every requirement. If you’re excited about the role and MOIA’s mission, we’d love to hear from you!

Title: Senior Software Engineer

Location: Germany; Aachen

Experience: Mid-senior 

Job Function: Engineering

Employment Type: Full-Time

Industry: Computer & Network Security 

ABOUT THE POSITION

Develops and maintains software applications, implementing features and ensuring code quality. Collaborates with team members to design and troubleshoot complex solutions.

This position is based in the Aachen office; we have a hybrid work model and excellent flexible working practices.

RESPONSIBILITIES

• Design, implement, and maintain software features and functionalities.. 
• Conduct code reviews, pull requests and ensure adherence to coding standards.
• Work closely with other engineers and cross-functional teams to solve complex problems.
• Contribute to the improvement of software development processes and practices.
• Identify and resolve technical issues and performance bottlenecks.
• Provide guidance and support to junior engineers.
• Work closely with the Quality Assurance teams and participate in QA efforts when needed.
• Participate in internal and external product support when needed
• Contribute to technical documentation and project reports.
• Engage in Agile ceremonies and contribute to iterative development processes

SKILLS AND QUALIFICATIONS

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Significant experience in software engineering or a related field.
• Knowledgeable of software development in one or more of the following:
  • IT Security, PKI, open source software and hardware security modules
  • Linux and possibly Linux networking
  • Python, Bash scripting, JavaScript / TypeScript
  • Java Enterprise, Java
  • Optionally: SQL, Embedded Software 
• Strategic thinking, exceptional problem-solving abilities, high-level proficiency in relevant tools and technologies.
• Proficiency in design patterns, strong architectural skills, and advanced debugging abilities.
• Ability to lead complex projects, drive strategic initiatives, and influence decision-making.
• Ability to take ownership of complex tasks, mentor team members, and drive technical improvements.
• Extensive knowledge of industry trends, company strategy, and cross-functional processes.
• Deep knowledge of software architecture principles, code optimization, and continuous integration practices. #LI-NA1

Title: Senior Software Engineer

Location: Germany; Aachen or Remote

Experience: Mid-senior 

Job Function: Engineering

Employment Type: Full-Time

Industry: Computer & Network Security 

ABOUT THE POSITION

Develops and maintains software applications, implementing features and ensuring code quality. Collaborates with team members to design and troubleshoot complex solutions.

The position can be based in the Aachen office or remote within Germany, with occasional visits every few months. 

RESPONSIBILITIES

• Design, implement, and maintain software features and functionalities in the Softare Appliance Team in Aachen. 
• Conduct code reviews, pull requests and ensure adherence to coding standards.
• Work closely with other engineers and cross-functional teams to solve complex problems.
• Contribute to the improvement of software development processes and practices.
• Identify and resolve technical issues and performance bottlenecks.
• Provide guidance and support to junior engineers.
• Work closely with the Quality Assurance teams and participate in QA efforts when needed.
• Participate in internal and external product support when needed
• Contribute to technical documentation and project reports.
• Engage in Agile ceremonies and contribute to iterative development processes.

SKILLS AND QUALIFICATIONS

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Significant experience in software engineering or a related field.
• Knowledgeable of software development in one or more of the following:
  • IT Security, PKI, open source software and hardware security modules
  • Linux and possibly Linux networking
  • Java Enterprise, Java
  • Python, Bash scripting
  • JavaScript / TypeScript
  • Optionally: SQL, Embedded Software 
• Strategic thinking, exceptional problem-solving abilities, high-level proficiency in relevant tools and technologies.
• Proficiency in design patterns, strong architectural skills, and advanced debugging abilities.
• Ability to lead complex projects, drive strategic initiatives, and influence decision-making.
• Ability to take ownership of complex tasks, mentor team members, and drive technical improvements.
• Extensive knowledge of industry trends, company strategy, and cross-functional processes.
• Deep knowledge of software architecture principles, code optimization, and continuous integration practices. #LI-NA1

Join us as a Integration Engineer (all genders) in our System Mobility team and help shape the future of autonomous mobility!

What you will do

• Own the technical integration of the vehicle platform, autonomous driving (AD) system, platform components, and backend systems
• Ensure seamless end-to-end integration across systems, functions, and domains
• Analyze hardware and software integration issues and identify root causes across the entire system chain
• Develop and evaluate cause-and-effect chains and system dependencies to enable structured troubleshooting
• Coordinate resolution actions with responsible stakeholders across software, hardware, platform, and backend domains
• Support system integration, bring-up, and testing activities at both vehicle and platform levels
• Track and manage integration issues through to sustainable resolution across multiple teams
• Collaborate closely with system architecture, development teams, and program management
• Ensure transparency on integration status, risks, and technical dependencies

What will help you to fulfill your role 

• Master’s degree or higher in Electrical Engineering, Software Engineering, Systems Engineering, Automotive Engineering, or similar 
• Experience in automotive development, such as autonomous driving or ADAS systems, E/E architecture, or vehicle platforms.
• Strong technical understanding of complex vehicle systems and software-hardware integration.
• Proven experience in program or project management within engineering organizations.
• Structured, analytical working style with strong coordination and communication skills.

We welcome applicants from diverse backgrounds — even if you don’t meet every requirement. If you’re excited about the role and MOIA’s mission, we’d love to hear from you!