We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always come first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: Germany 
Travel: 20% travel domestically and globally
Job ID:  1403

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

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

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 

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

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 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

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.

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’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

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

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) 

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 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 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.

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

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 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

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.

Mission Brief 

The Manufacturing Engineer CAD will hold responsibility for CAD related topics in the Production Engineering team and will check the readiness for production of parts, assemblies, and methods. Further, you will define respective assembly and test jigs as well as Ground Support Equipment (GSE). Work closely with internal and external key stakeholders, regarding technical support, striving for best-in-class products and business practices. Building a rocket, we have the following key production processes: additive manufacturing, CNC turning and milling, assembly processes, carbon fibre composites, electronics manufacturing and welding. Some of the processes are fully automated. Our machine park includes only the most advanced and latest machinery and equipment. 

Your Role in Our Space Mission: 

• Check models, assemblies and manufacturing methods and challenge possible difficulties before production release 
• Approach colleagues in charge for the respective manufacturing methods to ensure technical feasibility and highest quality standards from early on 
• Support engineers to design components in accordance to internal manufacturing constraints and standards 
• Ongoing support in improvement of more efficient manufacturing and automization 
• Design equipment such as mounting fixtures, cleaning fixtures, or similar (Create CAD models and drawings) 
• Design and Implement Ground Support Equipment such as Jigs (Create CAD models and drawings, end-to-end from quote to build up and integration checks) 
• Create Manufacturing Bill of Material (mBOM) and Bill of Process (BOP)

Qualification Checklist 

• B.sc/M.sc in an Aerospace Engineering, Mechanical Engineering or apprenticeship with at least five years of relevant experience 
• Strong practical experience with CAD Software (e.g. SolidWorks, NX or similar) 
• Strong knowledge in various manufacturing methods (e.g. milling, turning, metal sheet, carbon fiber or Additive Manufacturing) 
• Strong understanding of Geometric Dimensioning and Tolerancing (GD&T) 
• Experience in work preparation 
• Results orientated with ability to plan and deliver against project deadlines 
• Resilient, self-motivated and able to work well under pressure 
• Lean production knowledge 
• Highly organised and proactive with high attention to detail 
• Can-do attitude and outstanding communication skills fluent in English, German is a plus 

Bonus Skills

• Experience in CAD standards (e.g. DIN, EN, ISO) 

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
• Rental clothing with laundry service: Enjoy hassle-free workwear with our convenient rental clothing and laundry service  
• 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.

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

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

We are looking for a Technical Project Manager (TPM) to lead medium to high complexity deployments of our Agentic AI / conversational AI platform for enterprise customers. In this role, you’ll own the end-to-end delivery lifecycle—from scoping and planning through go-live and hypercare—working in a pod model alongside a Forward Deployed Engineer (FDE) and an Agent Architect (AA). You will be the primary owner of timeline, scope, risk, governance, and stakeholder communication, ensuring that customers successfully transition to an Agentic OS layer for their enterprise communications.

Areas of ownership:

Project Ownership & Delivery

• Own end-to-end delivery for assigned Agentic AI customer projects (scope, schedule, budget, risk, quality).
• Run the pod (TPM + FDE + Agent Architect) as a single accountable delivery unit.
• Select and apply appropriate delivery methodology (Waterfall, Agile, or Hybrid) based on customer context and risk profile.
• Drive project planning: work breakdown, dependencies, critical path, and resource allocations across internal and partner teams.
• Maintain up-to-date project plan, RAID log (Risks, Assumptions, Issues, Dependencies) and change log.

Customer & Stakeholder Management

• Serve as primary delivery contact for customer project sponsors, IT, and business stakeholders.
• Facilitate recurring governance: status calls, steering committees, UAT readouts, and go-live reviews.
• Translate technical complexity into clear business impacts for executive stakeholders.
• Manage scope and change requests, ensuring commercial and delivery impacts are understood and agreed. 

Cross-Functional & Pod Coordination

• Coordinate with Forward Deployed Engineers on integration readiness, environment setup, performance, and production stability.
• Coordinate with Agent Architects on discovery, agent design, prompt/context strategy, and conversational tuning.
• Collaborate with Sales, Solution Engineering, Product, and Support to ensure a seamless customer journey from sales handoff through BAU operations.
• Where partners are involved (SI/GSI/BPO), manage co-delivery responsibilities, expectations, and escalation paths.

Methodology & Process Discipline

• Plan and facilitate sprints, retros, and sprint reviews for Agile/hybrid projects; lead stage-gate reviews for Waterfall projects.
• Enforce documentation standards (Charter, Design Docs, Runbooks, Handover Docs).
• Ensure risk and compliance requirements (security reviews, data governance, regulatory constraints) are captured and incorporated into the plan.

Metrics & Reporting

• Define and track deployment KPIs, such as:
• Time to Blueprint, Time to First Agent in UAT, Time to Go-Live
• Milestone On-Time Rate
• Defect and incident trends during QA/UAT and Hypercare
• Report delivery status, risk posture, and mitigation plans to internal and external stakeholders.
• Contribute data to capacity and utilization models to inform planning and staffing.

Who you are:

• 5–8+ years of experience in technical project management, program management, or delivery management for SaaS or enterprise software.
• Hands-on experience delivering solutions involving at least one of:
• Contact Center / CCaaS, UCaaS, conversational AI, IVA/IVR, or related CX platforms.
• Demonstrated ability to work across technical and business stakeholders (IT, Security, Operations, Business Owners).
• Solid understanding of software delivery methodologies (Agile/Scrum, Hybrid, and Waterfall) and when to apply each.
• Strong skills in project planning tools (e.g., Jira, Asana, Monday, MS Project, Smartsheet) and collaboration tools (e.g., Confluence, Notion, Miro).
• Excellent communication, facilitation, and conflict resolution skills.
• Proven track record managing multiple concurrent projects with global, distributed teams.
• Fluency in English & German is required

NICE TO HAVE:

• Experience delivering AI/ML, NLP, LLM-based, or Agentic AI solutions.
• Background in professional services or consulting working with enterprise clients.
• Familiarity with APIs, webhooks, event-driven architectures, cloud infra (AWS/Azure/GCP).
• Certifications: PMP, PRINCE2, CSM/CSPO, SAFe, or equivalent.
• Experience with partner co-delivery (SI, GSI, BPO, or ISV ecosystems).

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

We’re looking for passionate and product-minded Backend Engineers to join our Discovery team - the group behind some of the most visible and impactful parts of Wolt’s consumer app. You’ll work on features that help millions of users discover their next favorite restaurant, grocery store, or product- from the homepage and category views to new vertical experiences like groceries, electronics, pet food, and health & beauty.

This is more than just a backend engineering role. We’re looking for someone who combines strong technical skills with curiosity, ownership, and a deep interest in creating meaningful user experiences at scale.

AI-First Engineering in Discovery 

We're building teams at the forefront of agentic coding. This goes beyond autocomplete or occasional prompting. We’re looking for engineers who:

• Design workflows where AI agents handle entire task loops, from spec to PR.
• Think in terms of orchestration: what does a human review, what does the agent own?
• Build internal tooling and abstractions that make AI-assisted development faster and more reliable for the whole team.
• Stay curious and ahead of the curve - trying new models, agents, and tools as they emerge, and forming strong opinions about what's genuinely useful vs. hype.

If you find yourself naturally asking "can an agent do this?" before reaching for the keyboard, you'll fit right in.

What you’ll do:

• Design, build, and operate high-performance backend services - primarily in Kotlin and Go (experience with Python is a plus) -  powering discovery surfaces, front pages, and category experiences across Wolt’s new and existing verticals.
• Own your services end-to-end: from requirements, design, and delivery to testing, CI/CD, deployment, monitoring, and on-call.
• Translate product and user needs into scalable, low-latency solutions and run experiments (A/B tests, feature flags) to continuously improve performance and impact.
• Collaborate closely with Product Leads, Frontend, Data, and Machine Learning teams to build features like search, ranking, personalization, and data-pipeline integrations.
• Drive reliability, observability, and efficiency - through automated testing, logging, tracing, alerting, incident response, and post-mortems.
• Continuously improve technical quality by reducing tech debt, proposing architectural improvements, and measuring their outcomes.

Why this role?

Join our Discovery team and shape how users experience Wolt from the moment they open the app.

• An AI-first team by design: We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a small, focused team can ship.
• Real ownership, real impact: Discovery is one of the most critical parts of the product. You’ll own features end-to-end and see your work directly influence user behavior at scale.
• Cross-functional collaboration: You’ll work closely with product managers, designers (including motion), backend engineers, and data teams to build seamless user experiences.
• A small team with high leverage: We operate as a tight, cross-functional team where engineers have a strong voice, move fast, and take responsibility for what they ship.

What we’re looking for

• Solid engineering fundamentals: At least 1-2 years of experience building production backend services 
• Genuine enthusiasm for AI-first development: You use AI tools daily and have formed real opinions about how to get the most out of them.
• End-to-end ownership mindset: You take responsibility beyond implementation, from breaking down problems into technical tasks to ensuring features are tested, stable, and successfully shipped
• Ability to work independently and drive projects: You’re comfortable owning work end-to-end with minimal guidance, collaborating with designers to clarify requirements, creating tasks, and moving initiatives forward
• Product and execution thinking: You operate well in ambiguous environments and contribute not just to implementation, but to shaping what gets built and how
• Experience operating in production environments: You’ve debugged real issues in live backend services and understand what it takes to maintain reliability at scale
• Collaboration and communication: You communicate clearly and work effectively across teams, including in multi-team development environments

🌍 Where You’ll Work

You will be based in Helsinki, and be a part of a distributed, cross-functional team with engineers in Berlin and Helsinki. We operate in a remote-friendly environment designed to encourage collaboration and innovation.

Next steps

These positions will be filled as soon as we find the right persons, so make sure to apply as soon as you realize you really, really want to join us!

About Black Forest Labs

We’re the team behind Latent Diffusion, Stable Diffusion, and FLUX—foundational technologies that changed how the world creates images and video. We’re creating the generative models that power how people make images and video—tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we’re just getting started.

Headquartered in Freiburg, Germany with a growing presence in San Francisco, we’re scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity.

Why This Role

You'll design, deploy, and maintain the ML infrastructure backbone that makes frontier AI research possible. This isn't abstract systems work—every decision you make directly impacts whether a multi-week training run succeeds, whether inference stays fast enough for production, whether researchers can iterate quickly or wait hours for resources.

What You’ll Work On 

You'll be the person who:

• Designs, deploys, and maintains cloud-based ML training clusters (Slurm) and inference clusters (Kubernetes) that researchers and products depend on
• Implements and manages network-based cloud file systems and blob/S3 storage solutions optimized for ML workloads at scale
• Develops and maintains Infrastructure as Code (IaC) for resource provisioning—because manual configuration doesn't scale and configuration drift breaks things
• Implements and optimizes CI/CD pipelines for ML workflows, making it easy for researchers to go from experiment to production
• Designs and implements custom autoscaling solutions for ML workloads where standard approaches fall short
• Ensures security best practices across the ML infrastructure stack without creating friction that slows down research
• Provides developer-friendly tools and practices that make ML operations efficient—because infrastructure that's hard to use doesn't get used

What We’re Looking For

You've built and managed ML infrastructure at scale and understand that supporting AI research is fundamentally different from traditional cloud infrastructure. You've been paged because a training run failed. You've debugged why storage became the bottleneck. You know the difference between infrastructure that works in demos and infrastructure that works when researchers depend on it for months-long experiments.

You likely have:

• Strong proficiency in cloud platforms (AWS, Azure, or GCP) with focus on ML/AI services—you know which services matter and which are marketing
• Extensive experience with Kubernetes and Slurm cluster management in production environments
• Expertise in Infrastructure as Code tools (Terraform, Ansible, etc.) and the discipline to actually use them
• Proven track record managing and optimizing network-based cloud file systems and object storage for ML workloads
• Experience with CI/CD tools and practices (CircleCI, GitHub Actions, ArgoCD, etc.) in ML contexts
• Strong understanding of security principles and best practices in cloud environments—without making security the enemy of velocity
• Experience with monitoring and observability tools (Prometheus, Grafana, Loki, etc.) that help you understand what's actually happening
• Familiarity with ML workflows and GPU infrastructure management—you understand what researchers need
• Demonstrated ability to handle complex migrations and breaking changes in production environments without losing data or breaking experiments

We'd be especially excited if you:

• Have experience building custom autoscaling solutions for ML workloads that standard tools can't handle
• Bring knowledge of cost optimization strategies for cloud-based ML infrastructure (because GPU hours add up)
• Are familiar with MLOps practices and tools
• Have experience with high-performance computing (HPC) environments
• Understand data versioning and experiment tracking for ML
• Know network optimization techniques for distributed ML training
• Have worked with multi-cloud or hybrid cloud architectures
• Are familiar with container security and vulnerability scanning tools

How We Work Together

We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process.

Everything we do is grounded in four values:

• Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful.
• Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task.
• Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect.
• Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos.

If this sounds like work you’d enjoy, we’d love to hear from you.

Base Annual Salary: $180,000–$300,000 USD

We're based in Europe and value depth over noise, collaboration over hero culture, and honest technical conversations over hype. Our models have been downloaded hundreds of millions of times, but we're still a ~50-person team learning what's possible at the edge of generative AI.

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++

About The Role:

We are growing our Data Platform Team within the Gropyus Tech department. Our Platform team is responsible for our internal platform, the Gropyus Data Fabric.  

Our team interacts with experts from various domains such as Digital Building Planning and Automation, Product Operations, Sustainability, AI, IoT, construction engineers, building architects, logistics experts, software engineering; solving complex challenges pertaining to end-to-end process for planning, building, and operating a building.  

What You Will Be Doing:

As part of the Data Platform organization, you will: 

• Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers  

• Own and improve data reliability through monitoring, alerting, SLAs, and data quality checks 

• Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets. 

• Lead strategic initiatives to modernize or scale our data ecosystem (including query optimization, schema design, analytics, etc) 

• Mentor and guide team members to elevate engineering rigor and technical capability 

What You Bring: 

• Experience working with a tech stack similar to: 

• Programming languages like Python or Kotlin. 

• Databases like Postgres, BigQuery, Spark, Graph DB 

• Tools like: Kubernetes, Docker, Terraform, Dagster, DBT 

• Cloud Storage Platforms  

• You have strong problem-solving and analytical skills and the ability to break down complex tasks for operations including working with stakeholders, adapting to dynamic input, and leading implementation projects 

• You have experience identifying and resolving issues related to data discrepancies and inconsistencies and creating validation and testing for prevention and handling 

• You have experience in building, operating, and scaling data intensive reactive processing pipelines from end to end including ingestion, storage, orchestration, transformation, enrichment, and analytics 

Optional Experience: 

• Some knowledge about semantic web technologies like RDF and OWL 

• Experience with ontology engineering, and knowledge engineering topics, including using ontology engineering tools such as Protege 

• Experience working with construction industry data and / or complex and large datasets 

• Data Science, Machine Learning and AI agents  

What we offer:

• Be part of something big: You’re here to make a change? Come on board. At GROPYUS, we are on a mission to re-think an entire industry. Join us in reinventing construction and sustainable, affordable living. 
• It’s on you: We offer a tremendous amount of ownership and room to make a mark - at all our organization levels. Find your solutions, drive and test them.
• Focus on results: You choose if you work from home, a park, or the office. Whether you start your day early, after your run, or pick up on work when your kids are in bed. What counts is your contribution and delivery.
• Bring your uniqueness to the team: Innovation requires diversity of thought. Diversity in background, experience and thinking is crucial to create the best product for everyone. We actively seek diversity and strive to unlock each other’s full potential. We are very proud that people from all industries and all walks of life are joining our company – in addition to core areas such as construction, engineering, and start-ups, from stock-listed companies from across automotive e-Commerce, digital, sporting goods, and more. You will work in international teams with passionate colleagues. Inspire and be inspired.
• Be an owner: Participate in the success of GROPYUS through stock options.

As an Auth0 Solutions Engineer you have a background in Development and are passionate about Customer Identity. In this role, you will be a technical expert who can engage with our customers to help them address their identity management challenges, driving a clear technical preference for Okta's Auth0 offering.

You will be part of a team of Solution Engineers, supporting the German region. You will give product demonstrations, help customers understand the product, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to use cloud security technology. 

What you’ll be doing 

• Deliver interactive presentations and solution demonstrations to all levels of an organization
• Whiteboard solutions, modeling how Okta's Auth0 product will support their current architecture requirements and use cases
• Lead Q&A sessions with prospective customers to understand their requirements
• Execute well-defined, outcome-focused PoCs and PoVs
• Collaborate with account executives to develop and execute territory and account strategies to maximize the Okta opportunity in those accounts
• Maintain a broad and deep technical understanding of the Auth0 product line and the underlying technologies and protocols
• Stay current on industry trends through self-study, research, and online courses
• Proactive engagement in local and regional sales and marketing events

What you’ll bring to the role

• Fluency in English and German is a MUST
• Software Engineering or Development experience, and a desire to become more customer facing
• Understand what’s relevant in order to design and implement reliable, scalable, high performing Web based solutions
• Knowledge of Authentication and Authorisation protocols and frameworks such as SAML, OIDC and OAuth 
• Experience working with REST APIs and SDKs
• An ability to communicate very effectively with the technical and non technical audience
• Comfort working with cloud based source control systems such as GitHub and Bitbucket
• Development experience on the server side as well as client side application design

And extra credit if you have experience in any of the following! 

• Experience working in a Pre-Sales role as Sales Engineer or Solutions Engineer

• An understanding of cloud deployments stacks such as AWS, Azure and GCP
• Experience in developing mobile applications (using React Native/Ionic/Xamarin) and understanding the identity layer integration involving devices is a huge plus
• Experience speaking at technical conferences and events
• Have experience working with Okta and/or Auth0

#LI-Remote

#LI-JP3

P15260_3336594

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.

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.

We believe in the power of our product. We continue to execute and build momentum as we develop our customer base with the world's top banks; we work with four of the five largest banks in the US, acquirers, processors, and merchants. In our fast-paced and open environment, you will be working with a collaborative team spanning across the globe and delivering exceptional results. We are committed to building something extraordinary. Join Us!

You: 

As a Senior Solutions Consultant at Feedzai, you will play an integral role in the sale of our leading RiskOps platform to high-profile Financial Institutions. You will partner with Feedzai’s sales team to understand clients, prospects and partners’ business, functional and technical needs and demonstrate how those can be achieved through the capabilities of our platform. You not only support effective qualification, but also own the technical dimension that addresses the business needs - you will successfully employ a combination of communication and soft skills, compelling storytelling, solution design and collaboration with a strong solutions design mindset to act as the trusted advisor with the clients. As needed you’ll also be a bridge to our product and development teams, distilling sales engagement feedback for them to help guide our roadmap. Finally you’ll have the organizational skills to do all this, and be able to lead multiple RFP proposals.

Your Day to Day: 

• Provide product demonstrations and lead technical sales discussions both remote and onsite across Europe. 
• Assist the sales team in leading tailored value driven pitches (market to technology), strongly focused in financial crime.
• Understand client business needs and offer solution designs to address those needs, in a continuous education mode and problem-solving mindset.
• Manage (orchestrate, complete, review, submit) formal Tenders (ie, RFPs, RFIs).
• Build formal proposals and own its life cycle throughout the sales process to ensure crisp translation of business needs into technical requirements.
• Engage with multiple stakeholders, from Product to Delivery, to ensure not only the right staffing for client engagements is in place but also to ensure market insights are shared across teams

You Have, You Know-how, You are: 

• BS or Masters in Computer Science or equivalent - proven experience in Enterprise Software sales and strong technical acumen.
• 5+ years of professional experience as Solution Consultant in complex environments, supporting teams to land and expand client’s portfolio.
• Proven experience in the Financial Services industry - Financial Crime
• Relevant commercial / sales experience, with a track record working as a Solution Consultant / Pre-sales Engineer, supporting quota carriers in selling enterprise-level software in complex and mission-critical environments.
• Experience at a growth-stage Enterprise software SaaS company.
• Ability to understand and determine an enterprise's client’s needs and how Feedzai’s products might best fit through a consultative approach.
• Strong business acumen with executive presence, strong presentation skills and excellent listening skills
• Must be organized and a self-starter, able to deliver high-quality work without a tactical oversight in a fast-paced environment.
• Highly driven, organized, ambitious and tenacious. A natural problem solver with a strong student mentality, work ethic and positive mental attitude.
• Willingness to travel up to 30% - this is a remote role, with travel as required.

#LI-Remote #LI-JP1

Mission Brief 

As a Software Engineer in the Ground Control Systems team, you will contribute directly to the development and maintenance of critical libraries and tools for our in-house software.  You will work on software that operates hardware and real missions, where correctness, robustness, and clarity truly matter. This role offers the opportunity to shape foundational systems used across teams, balancing clean architecture with real‑time and operational constraints. Your work will be utilized in aiding the development of new aerospace technologies and platforms. 

Your Role in Our Space Mission: 

• Implement and maintain modular control system libraries and reusable software components in Python, C#, TwinCAT..
• Contribute to real‑time system code running on RTOS environments, including sensor/actuator interaction.
• Develop and support driver‑level and HAL‑layer software.
• Help design and implement system interaction logic and state-machine‑based behaviors.
• Build simulation  tools, and testing frameworks to support software validation.
• Work cross‑functionally with hardware engineers, PLC engineers, and UX teams to ensure coherent, safe system behavior. 

Qualification Checklist 

• At least 4 Years of experience in Software Engineering with RTOS environments.
• Strong foundation in software engineering fundamentals.
• Experience with Python and .NET, and familiarity with at least one programming language used in real‑time or PLC/embedded contexts (e.g. C#, C/C++, Rust, etc.).
• Understanding of control systems, deterministic behavior, and basic real‑time constraints.
• Hands-on experience with testing practices for embedded or automation systems (unit tests, HIL/SIL, integration tests).
• Competence with CI/CD pipelines, version control, and structured development workflows.
• Organized and proactive with high attention to detail and can-do attitude with outstanding communication skills
• Fluent in English 

Bonus Skills 

• Previous experience with simulation models (e.g., with MATLAB/Simulink).
• Previously released desktop applications and/or libraries for control systems.
• Experience with Beckhoff TwinCAT 

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.

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.

We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
• Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions 
• Prototype and see what works well in the real world, iterate closely with our users, and then ship
• Follow the latest research on LLM prompt optimization, agents, and code editing.
• Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of  “one click to reproduce” for production errors.

Who You Are: 

• You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production
• You are passionate about Generative AI and its ability to help software engineers be more productive
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

At Datadog, we’re on a mission to bring security and observability together for modern organizations. Bits AI for Security is our AI agent that leverages LLMs to help analysts investigate alerts, understand threats, and respond faster. We’re looking for a product-minded AI Engineer to help us build the next generation of AI-driven security capabilities.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with users, security experts, PMs, and data scientists on cutting edge AI agents that drive real value for our customers
• Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths
• Collaborate with Product, Design, and partner teams to build cohesive experiences
• Prototype and see what works well, iterate closely with our users and experts, and then ship
• Follow the latest research on GenAI and AI agents

Who You Are:

• You have a BS/MS/PhD in Computer Science, Engineering, Artificial Intelligence or a related scientific field or equivalent experience
• You’re a backend engineer with at least 4 years of professional experience (Go, Python, Java, etc.) who values code simplicity and performance
• You have relevant work experience with LLMs, large-scale systems, machine learning, or adjacent fields. You’ve shipped software that uses LLMs to production
• You want to work in a fast, high-growth startup environment that values its engineers
• You are a good communicator and can drive hard technical conversations towards a pragmatic solution
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Bonus Point:

• Excited to work in the security domain, with an understanding of how analysts investigate threats and alerts
• Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions
• Experience scaling products in a high-growth SaaS environment
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Engineering Smarter Commerce to Convert, Scale, and Win

Have you ever wanted to help commerce teams unlock the full potential of artificial intelligence to drive relevance, conversion, and growth? As our Senior Solution Engineer - Commerce, you’ll partner closely with prospects to uncover their business and technical needs, frame the right solution, and demonstrate the unique value Coveo brings to modern digital commerce.

You’ll join a collaborative Sales team that thrives on consultative selling, technical depth, and competitive excellence. If you enjoy translating complex technology into compelling business outcomes and winning alongside driven teammates, this role will feel like home.

As one of our Senior Solution Engineers, you will:

• Guide prospective customers in understanding, comparing, and evaluating Coveo’s Commerce solutions to support confident buying decisions.
• Conduct deep technical and business discovery to assess fit, capture requirements, uncover risks, and respond to technical and security-related questions throughout the evaluation process.
• Build and deliver tailored, competitive demos that highlight relevant commerce capabilities, key differentiators, and measurable business value.
• Lead the technical components of Proofs of Concept, collaborating cross-functionally to deliver solutions aligned with complex ecommerce use cases.
• Act as the technical owner for RFIs and RFPs, ensuring responses are accurate, compelling, and strategically position Coveo in competitive environments.
• Serve as a trusted commerce advisor and Coveo evangelist by providing strategic guidance and representing Coveo at select conferences, industry events, and customer engagements.

Here is what will qualify you for the role:

• 8+ years of experience in the field as Presales / Sales Engineer/ Solution Consultant. Strong demo, POC and competitive benchmarking practices are part of your approach. You regularly represent the voice of the customer with product management.
• You may also have moved from Professional Services. You are great at scoping a project and determining key drivers to win a deal
• Commerce platform expertise (B2B or B2C) with technical and business requirements discovery experience in an ecommerce context. i.e. SAP, Salesforce, Magento, Shopify; CMS experience is a plus.
• AI/ML expertise with Search and Commerce related models (e.g. query suggestions, product recommendation models, generative answering, etc.).
• Able to navigate medium to large organizations and global enterprise (roles and responsibilities, departments, etc)
• Programming skills with Python and Javascript and experience with APIs (Postman) will be the right skillset to make you successful in this role.
• Able to travel minimum 30% of the time.

Do you think you can bring this role to life? Or add your own color? You don’t need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.

Send us your application, we want to hear from you!

Join the Coveolife! 

Coveo is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability status, marital status, gender identity, or veteran status.

About the role

Applied Intuition’s Tools for Vehicle Intelligence (including the Applied Development Platform, also known as ADP) is the end-to-end platform for building and validating intelligent systems at petabyte scale. As a Solution Engineer on the Tooling pillar, you will work with ADAS and AD engineering teams at OEMs and Tier 1s to architect and build solutions with Applied’s simulation, data management, and CI/CD validation toolchain.

The platform closes the loop between real-world data collection, scenario extraction, simulation, model training, and evaluation; giving automotive engineering teams the infrastructure to compound performance improvements over time.

At Applied Intuition, you will:

• Serve as the primary technical point of contact for customers evaluating Applied Intuition’s simulation and data management tooling
• Lead demonstrations, proof-of-concept deployments, and integration workshops for the full toolchain
• Support customers in integrating Applied’s platform into their ADAS/AD CI/CD pipelines (SIL, HIL, VIL stages)
• Guide customers through the design of closed-loop data flywheels: data collection strategy, curation, labeling, scenario extraction, simulation replay, and evaluation
• Help customers configure scenario-based testing and automated pass/fail metrics for their validation programs
• Translate customer feedback into actionable product insights for the Applied engineering team
• Manage technical workstreams and milestones across multi-stakeholder customer programs

We're looking for someone who has:

• 3+ years of experience in ADAS/AD development, validation, or simulation at an OEM, Tier 1, or technology company
• Hands-on experience with software testing methodologies (unit, SIL, HIL, VIL) for automotive applications
• Familiarity with CI/CD pipelines in an automotive or embedded software context
• Understanding of sensor types used in ADAS (camera, lidar, radar, ultrasonic) and their data characteristics
• Experience with data management pipelines: ingestion, curation, labeling, or scenario extraction
• Degree in computer science, electrical engineering, robotics, or related field
• Intermediate Programming experience in Python and/or C++
• Strong written and verbal communication skills in English; German and/or additional European language is a significant plus

Nice to have:

• Customer-facing experience and strong communication and presentation skills
• Experience with a simulation platform (Applied Intuition, CARLA, IPG CarMaker, dSPACE SIMPHERA, VIRES VTD, or similar)
• Familiarity with dSPACE, Vector, or NI toolchains for HIL/SIL test automation
• Knowledge of ISO 8800, ISO 26262, ISO 21448, or ASPICE
• Experience with ML/AI pipelines for model training or perception system evaluation
• Background in fleet data operations, OTA, or post-SOP data-driven improvement loops

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. 

About the role

Applied Intuition’s Tools for Vehicle Intelligence (including the Applied Development Platform, also known as ADP) is the end-to-end platform for building and validating intelligent systems at petabyte scale. As a Solution Engineer on the Tooling pillar, you will work with ADAS and AD engineering teams at OEMs and Tier 1s to architect and build solutions with Applied’s simulation, data management, and CI/CD validation toolchain.

The platform closes the loop between real-world data collection, scenario extraction, simulation, model training, and evaluation; giving automotive engineering teams the infrastructure to compound performance improvements over time.

At Applied Intuition, you will:

• Serve as the primary technical point of contact for customers evaluating Applied Intuition’s simulation and data management tooling
• Lead demonstrations, proof-of-concept deployments, and integration workshops for the full toolchain
• Support customers in integrating Applied’s platform into their ADAS/AD CI/CD pipelines (SIL, HIL, VIL stages)
• Guide customers through the design of closed-loop data flywheels: data collection strategy, curation, labeling, scenario extraction, simulation replay, and evaluation
• Help customers configure scenario-based testing and automated pass/fail metrics for their validation programs
• Translate customer feedback into actionable product insights for the Applied engineering team
• Manage technical workstreams and milestones across multi-stakeholder customer programs

We're looking for someone who has:

• 3+ years of experience in ADAS/AD development, validation, or simulation at an OEM, Tier 1, or technology company
• Hands-on experience with software testing methodologies (unit, SIL, HIL, VIL) for automotive applications
• Familiarity with CI/CD pipelines in an automotive or embedded software context
• Understanding of sensor types used in ADAS (camera, lidar, radar, ultrasonic) and their data characteristics
• Experience with data management pipelines: ingestion, curation, labeling, or scenario extraction
• Degree in computer science, electrical engineering, robotics, or related field
• Intermediate Programming experience in Python and/or C++
• Strong written and verbal communication skills in English; German and/or additional European language is a significant plus

Nice to have:

• Customer-facing experience and strong communication and presentation skills
• Experience with a simulation platform (Applied Intuition, CARLA, IPG CarMaker, dSPACE SIMPHERA, VIRES VTD, or similar)
• Familiarity with dSPACE, Vector, or NI toolchains for HIL/SIL test automation
• Knowledge of ISO 8800, ISO 26262, ISO 21448, or ASPICE
• Experience with ML/AI pipelines for model training or perception system evaluation
• Background in fleet data operations, OTA, or post-SOP data-driven improvement loops

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. 

About the role

We are looking for a bright engineer to help our customers solve complex technical problems across Applied Intuition’s Vehicle OS portfolio. In this role you will work closely with vehicle software and tooling teams at OEMs and Tier 1s to ensure Applied’s solutions deliver maximum impact in advancing customers’ Software-Defined-Vehicle (SDV) strategies and in-cabin user experiences.

Vehicle OS is Applied Intuition’s software platform for SDV. It enables OEMs to modernize their E/E architecture through three interconnected areas:

• Middleware & architecture  Service-oriented, middleware-driven software stacks built on AUTOSAR Adaptive Platform, SOME/IP, and DDS. Helps OEMs migrate from distributed ECU architectures to zonal, centralized compute.
• Developer toolchain  A code-first toolchain that replaces GUI-bound configuration workflows. Engineers model vehicle behavior in Python, manage changes through pull requests, and validate in virtual ECU environments analogous to what cloud virtual engineering workbenches (e.g., AWS VEW) brought to cloud-native development, but purpose-built for automotive E/E systems.
• IVI & in-vehicle infotainment  Android Automotive OS (AAOS) based platform, HMI/cluster software, and intelligent in-cabin experiences including Cabin Intelligence (DMS, OMS, voice, occupant interaction).

This role sits at the intersection of all three areas, and the balance will depend on the customer mix.

At Applied Intuition, you will:

• Act as the technical bridge between automotive customers and Applied Intuition’s engineering and product teams
• Support OEMs in adopting Vehicle OS: middleware stack, developer SDK, and IVI/infotainment integration
• Lead technical discussions, architecture reviews, demos, and early-stage deployments with OEM and Tier 1 engineering teams
• Help customers adopt Applied’s code-first developer toolchain, onboarding engineering teams onto the SDK, setting up virtual ECU environments, and integrating with customers’ existing CI/CD pipelines
• Guide OEMs through the design and implementation of service-oriented vehicle architectures and support system integration across ECUs, domain controllers and high-performance compute
• Work with customers’ IVI and infotainment teams on AAOS integration, Linux-based IVI stack deployment, HMI/cluster software, and Cabin Intelligence features (driver monitoring, occupant monitoring, voice/AI interaction)
• Collaborate with customers and internal product teams to triage and resolve technical issues
• Manage project milestones and communicate progress across multiple customer and internal stakeholders

We're looking for someone who has:

• 3+ years of experience working with automotive OEMs or suppliers, ideally in SDV, E/E architecture, developer tooling, or in-vehicle infotainment/IVI
• Experience with AUTOSAR (Classic or Adaptive) and automotive developer tooling
• Familiarity with vehicle communication protocols: SOME/IP, DDS, CAN, LIN, or automotive Ethernet
• Experience with at least one of the following:

• • Vehicle software developer toolchain: SDK-based development, virtual ECUs, SIL environments, or CI/CD pipelines for automotive software
  • IVI / infotainment platforms: Android Automotive OS (AAOS), Linux-based IVI, HMI/cluster software, or display middleware

• Execution-driven mindset with strong attention to detail and ability to manage multiple customer engagements in parallel
• Experience working directly with customers on complex problems at the intersection of software and vehicle systems
• Degree in computer science, electrical engineering, or related field
• Basic / intermediate programming experience in C/C++, Python, or similar
• Strong written and verbal communication skills in English; German and/or additional European language is a significant plus

Nice to have:

• Hands-on experience with Applied Intuition’s Vehicle OS or a comparable SDV platform
• Knowledge of zonal E/E architectures, HPC platforms, or software-defined networking in vehicles
• Experience with OTA systems and vehicle software lifecycle management
• Familiarity with ISO 26262 functional safety or SOTIF in the context of IVI or ADAS systems
• Experience with Cabin Intelligence technologies: driver monitoring (DMS), occupant monitoring (OMS), or in-cabin perception and AI
• Exposure to perception systems or AI/ML pipelines applied to in-vehicle experiences
• Experience with simulation environments or digital twin platforms to validate vehicle software
• Project management experience in cross-functional, customer-facing programs

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

About the role

We are looking for a bright engineer to help our customers solve complex technical problems across Applied Intuition’s Vehicle OS portfolio. In this role you will work closely with vehicle software and tooling teams at OEMs and Tier 1s to ensure Applied’s solutions deliver maximum impact in advancing customers’ Software-Defined-Vehicle (SDV) strategies and in-cabin user experiences.

Vehicle OS is Applied Intuition’s software platform for SDV. It enables OEMs to modernize their E/E architecture through three interconnected areas:

• Middleware & architecture  Service-oriented, middleware-driven software stacks built on AUTOSAR Adaptive Platform, SOME/IP, and DDS. Helps OEMs migrate from distributed ECU architectures to zonal, centralized compute.
• Developer toolchain  A code-first toolchain that replaces GUI-bound configuration workflows. Engineers model vehicle behavior in Python, manage changes through pull requests, and validate in virtual ECU environments analogous to what cloud virtual engineering workbenches (e.g., AWS VEW) brought to cloud-native development, but purpose-built for automotive E/E systems.
• IVI & in-vehicle infotainment  Android Automotive OS (AAOS) based platform, HMI/cluster software, and intelligent in-cabin experiences including Cabin Intelligence (DMS, OMS, voice, occupant interaction).

This role sits at the intersection of all three areas, and the balance will depend on the customer mix.

At Applied Intuition, you will:

• Act as the technical bridge between automotive customers and Applied Intuition’s engineering and product teams
• Support OEMs in adopting Vehicle OS: middleware stack, developer SDK, and IVI/infotainment integration
• Lead technical discussions, architecture reviews, demos, and early-stage deployments with OEM and Tier 1 engineering teams
• Help customers adopt Applied’s code-first developer toolchain, onboarding engineering teams onto the SDK, setting up virtual ECU environments, and integrating with customers’ existing CI/CD pipelines
• Guide OEMs through the design and implementation of service-oriented vehicle architectures and support system integration across ECUs, domain controllers and high-performance compute
• Work with customers’ IVI and infotainment teams on AAOS integration, Linux-based IVI stack deployment, HMI/cluster software, and Cabin Intelligence features (driver monitoring, occupant monitoring, voice/AI interaction)
• Collaborate with customers and internal product teams to triage and resolve technical issues
• Manage project milestones and communicate progress across multiple customer and internal stakeholders

We're looking for someone who has:

• 3+ years of experience working with automotive OEMs or suppliers, ideally in SDV, E/E architecture, developer tooling, or in-vehicle infotainment/IVI
• Experience with AUTOSAR (Classic or Adaptive) and automotive developer tooling
• Familiarity with vehicle communication protocols: SOME/IP, DDS, CAN, LIN, or automotive Ethernet
• Experience with at least one of the following:

• • Vehicle software developer toolchain: SDK-based development, virtual ECUs, SIL environments, or CI/CD pipelines for automotive software
  • IVI / infotainment platforms: Android Automotive OS (AAOS), Linux-based IVI, HMI/cluster software, or display middleware

• Execution-driven mindset with strong attention to detail and ability to manage multiple customer engagements in parallel
• Experience working directly with customers on complex problems at the intersection of software and vehicle systems
• Degree in computer science, electrical engineering, or related field
• Basic / intermediate programming experience in C/C++, Python, or similar
• Strong written and verbal communication skills in English; German and/or additional European language is a significant plus

Nice to have:

• Hands-on experience with Applied Intuition’s Vehicle OS or a comparable SDV platform
• Knowledge of zonal E/E architectures, HPC platforms, or software-defined networking in vehicles
• Experience with OTA systems and vehicle software lifecycle management
• Familiarity with ISO 26262 functional safety or SOTIF in the context of IVI or ADAS systems
• Experience with Cabin Intelligence technologies: driver monitoring (DMS), occupant monitoring (OMS), or in-cabin perception and AI
• Exposure to perception systems or AI/ML pipelines applied to in-vehicle experiences
• Experience with simulation environments or digital twin platforms to validate vehicle software
• Project management experience in cross-functional, customer-facing programs

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

About the role

We are looking for a bright engineer to help our customers solve complex technical problems across Applied Intuition's full product portfolio: Vehicle OS (including developer tooling and IVI), Tools for Vehicle Intelligence (ADP/APX), and Self-Driving Systems (SDS). This role is ideal for a candidate with strong automotive software foundations who thrives on variety, is energized by learning new technical domains quickly, and wants to engage with the broadest possible range of cutting-edge automotive challenges.

One engagement might involve guiding an OEM's IVI team through an Android Automotive OS integration; the next could be a deep-dive architecture review with an ADAS validation team, or a technical workshop on autonomy stack deployment with a Tier 1 supplier. This kind of breadth is rare, and for the right person, it is the most accelerated learning environment in the automotive software industry. You will build expertise across SDV, simulation, and autonomy faster than any siloed role would allow, while working directly with some of the most ambitious internal and external engineering teams worldwide.

At Applied Intuition, you will:

• Support pre-sales and post-sales customer engagements across Vehicle OS, SDS and Tooling pillars as needed
• Conduct technical discovery, demos, and proof-of-concept work across Applied Intuition’s product suite
• Adapt technical depth to whichever product pillar is most relevant for a given customer or opportunity
• Build cross-pillar proposals where a customer engagement spans multiple product areas
• Work closely with Applied Intuition’s product and solution specialists to ramp up on new product areas
• Manage multiple concurrent customer engagements and maintain clear internal stakeholder communication

We're looking for someone who has:

• 4+ years of experience in automotive software development or technical customer engagement, spanning more than one product domain (e.g., ADAS + SDV, simulation + vehicle architecture, IVI + middleware)
• Strong automotive software foundations with the ability to engage credibly on topics across E/E architecture, ADAS validation, and/or autonomy systems
• Demonstrated ability to learn new technical domains quickly and apply them in a customer-facing context
• Track record of managing complex, multi-stakeholder technical programs
• Degree in computer science, electrical engineering, or related field
• Programming experience in Python and/or C++
• Strong written and verbal communication skills in English; German and/or additional European language is a significant plus

Nice to have:

• Experience spanning both pillars: Vehicle OS/SDV/IVI and ADAS simulation/tooling
• Prior Solution Engineering, Field Application Engineering, or technical pre-sales experience
• Experience at an OEM, Tier 1, and/or automotive technology company
• Familiarity with AUTOSAR (Classic and/or Adaptive)
• Knowledge of ISO 26262, SOTIF, or ASPICE

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. 

About the role

We are looking for a bright engineer to help our customers solve complex technical problems across Applied Intuition's full product portfolio: Vehicle OS (including developer tooling and IVI), Tools for Vehicle Intelligence (ADP/APX), and Self-Driving Systems (SDS). This role is ideal for a candidate with strong automotive software foundations who thrives on variety, is energized by learning new technical domains quickly, and wants to engage with the broadest possible range of cutting-edge automotive challenges.

One engagement might involve guiding an OEM's IVI team through an Android Automotive OS integration; the next could be a deep-dive architecture review with an ADAS validation team, or a technical workshop on autonomy stack deployment with a Tier 1 supplier. This kind of breadth is rare, and for the right person, it is the most accelerated learning environment in the automotive software industry. You will build expertise across SDV, simulation, and autonomy faster than any siloed role would allow, while working directly with some of the most ambitious internal and external engineering teams worldwide.

At Applied Intuition, you will:

• Support pre-sales and post-sales customer engagements across Vehicle OS, SDS and Tooling pillars as needed
• Conduct technical discovery, demos, and proof-of-concept work across Applied Intuition’s product suite
• Adapt technical depth to whichever product pillar is most relevant for a given customer or opportunity
• Build cross-pillar proposals where a customer engagement spans multiple product areas
• Work closely with Applied Intuition’s product and solution specialists to ramp up on new product areas
• Manage multiple concurrent customer engagements and maintain clear internal stakeholder communication

We're looking for someone who has:

• 4+ years of experience in automotive software development or technical customer engagement, spanning more than one product domain (e.g., ADAS + SDV, simulation + vehicle architecture, IVI + middleware)
• Strong automotive software foundations with the ability to engage credibly on topics across E/E architecture, ADAS validation, and/or autonomy systems
• Demonstrated ability to learn new technical domains quickly and apply them in a customer-facing context
• Track record of managing complex, multi-stakeholder technical programs
• Degree in computer science, electrical engineering, or related field
• Programming experience in Python and/or C++
• Strong written and verbal communication skills in English; German and/or additional European language is a significant plus

Nice to have:

• Experience spanning both pillars: Vehicle OS/SDV/IVI and ADAS simulation/tooling
• Prior Solution Engineering, Field Application Engineering, or technical pre-sales experience
• Experience at an OEM, Tier 1, and/or automotive technology company
• Familiarity with AUTOSAR (Classic and/or Adaptive)
• Knowledge of ISO 26262, SOTIF, or ASPICE

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located.