The role

Nebius is searching for an Enterprise Networks Engineer with strong automation skills to design, implement, and optimize enterprise networks in Tel Aviv, including wired, wireless, and VPN infrastructure. 

Your responsibilities will include: 

• Work on the design, implementation, and optimization of enterprise wired and wireless networks, ensuring scalability, security, and high availability
• Build and maintain network connectivity between branch offices around the world, partnering with global teams to standardize architecture and operations
• Manage and ensure the reliable operation of remote access systems (VPN), including capacity planning, resiliency, and continuous improvements
• Deploy, maintain, and continuously improve automation and monitoring tools; define best practices and drive automation-first operations
• Diagnose and resolve complex network issues, including cross-region and cross-provider incidents; perform root cause analysis and implement preventative measures
• Test, evaluate, and introduce new equipment and emerging technologies; contribute findings and recommendations into global R&D streams
• Collaborate with telecom service providers in Israel and globally; lead escalations, manage SLAs, and drive service improvements

We expect you to have: 

• In-depth knowledge of TCP/IP technologies
• Familiarity with dynamic routing protocols
• Experience in automation using Python, Go, or other popular programming languages (ability to design and maintain production-grade automation)
• Proficiency in Unix system administration
• Hands-on experience with enterprise-grade network hardware (e.g., Cisco, Aruba, Arista, Extreme, Juniper)
• Strong ability to work independently, owning outcomes end-to-end in a senior/lead capacity

It will be an added bonus if you have: 

• Experience with network automation frameworks like Ansible, Terraform, NetBox, Nornir, or SaltStack
• Experience designing, developing, and operating high-load distributed systems
• Experience building high-density enterprise wireless networks (CWNA level or higher)
• Working knowledge of IPv6

The role

We are looking for a Technical Project Manager to join our team and manage different projects and changes in data center. You will work with modern GPU clusters, responsible for execution of projects around IT infrastructure and equipment: GPU servers, high-speed network, compute and storage systems. Acting as a key link between the stakeholders, project and technical teams, you will drive operational activities across your responsibility area.

Your responsibilities will include: 

• Management and delivery of IT infrastructure projects, change requests in data centers

• Proactively identify and manage resolution of technical and operational issues

• Managing risks and dependencies in live environments

• Maintain clear operational documentation, including plans, risk logs, and issue trackers.

• Lead communication with all stakeholders: provide regular progress updates, escalate blockers, and manage expectations.

• Lead meetings and technical discussions with a focus on decision-making, clear next steps, and timely execution.

• Collaborate with cross-functional teams.

• Engage directly with data center engineers, vendors, and operations teams.

• Participate in related project tasks, including automation, process improvements, and design support as needed.

We expect you to have:

• Proven experience in data center infrastructure operations, preferably in high-performance or AI-oriented environments.

• Solid understanding of data center design and operations: racking, cabling, power planning, cooling considerations.

• Hands on experience working with IT hardware in data centers.

• Be comfortable in data center environments and during live operations.

• Experience in project delivery, team management, cross team collaboration

• Strong problem-solving skills; ability to troubleshoot technical and workflow issues in an IT stack.

• Ability to document processes, maintain tracking systems, and produce clear deployment reports.

• Activity, responsibility and purposefulness

• Ready for occasional business trips

It will be an added bonus if you have:

• Familiarity with structured project management or delivery frameworks (e.g., PRINCE2, PMI, Agile)

• Relevant technical certifications 

• In depth technical knowledge of GPU servers, compute nodes, high-speed networking

The role

We’re looking for an L2 IT Technician in data center to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer to This role focuses on troubleshooting of high-performance server hardware, including GPU clusters.

You will be deeply involved in resolving complex hardware incidents, proactively handling L1/L2 support via the ticketing system. Working closely with IT infrastructure engineers and L3 technicians, you will help optimize diagnostics, reduce resolution times, and continuously improve SLA performance.

This role requires shift work (day & night), that will be compensated.

You’re welcome to work in our office in Modiin, Israel.

Your responsibilities will include

• Solve hardware related issues with servers, involving in-depth advanced level troubleshooting

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

• Collaborate with IT infrastructure engineers and L3 Technicians to improve SLA with complex diagnostics

• Improve support processes, documentation and training materials

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

• Advanced skills working with the Unix/Linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Driving license type B

The role

We’re looking for an L2  IT Technician with Project Management experience to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer with a focus on IT Projects and relevant activities. This role aims to provide not only support in troubleshooting of high-performance server hardware, including GPU clusters, but also implementations of additional infrastructure components on production sites.

Apart from being involved in resolution of complex hardware incidents, proactive handling of L1/L2 support via the ticketing system, you will work in collaboration with the Technical Project Manager. This role expects from candidates to have advanced technical experience in pair with some project management experience allowing to move the projects further, identify specific risks, participate in implementation with support of 3rd parties.

Your responsibilities will include

• Solve hardware related issues with servers, involving in-depth advanced level troubleshooting

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

• Collaborate with Technical Project Manager on current projects

• Participate in technical projects implementations

• Oversee 3rd party contractor activities during project implementations

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

• Advanced skills working with the Unix/Linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Basic understanding of Project Management methodologies

• Basic understanding of Project Management tools (JIRA, Gantt charts)

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Proven project management experience in IT Infrastructure domain

• Bachelor degree in Computer Science

• Driving license type B

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 

The Executive Support IT Engineer will provide white-glove, high-touch technical support to senior leadership, including C-level executives. This role requires a polished professional with exceptional technical expertise, discretion, and the ability to thrive in high-pressure environments with little to no direction. The engineer will serve as the primary point of contact for executive technology needs, ensuring seamless productivity, communication, and security across devices, applications, and collaboration platforms.

Note: Due to the nature of this role, there will be moments where a traditional work week or hours will not apply. We will always strive to achieve meaningful work/life balance, but that will be dictated by the needs of the given moment. A flexible schedule and the ability to travel is a necessity.

You’re welcome to work in our office in Tel Aviv.

Your responsibilities will include:

• Deliver personalized IT support for executives including; but not limited to; troubleshooting, system setup, and proactive maintenance for laptops, mobile devices, AV systems, and collaboration tools.

• Provide rapid response to critical technical issues impacting executives, ensuring minimal disruption to business operations.

• Support executive meetings and events, including video conferencing, telepresence, and boardroom AV technology.

• Maintain and configure executive devices (Windows, macOS, iOS, Android), ensuring compliance with corporate IT policies and security standards.

• Partner closely with IT leadership, security teams, and external vendors to escalate and resolve complex issues efficiently.

• Develop executive-friendly documentation and quick reference guides for common workflows and tools.

• Anticipate technology needs and proactively recommend improvements to enhance executive productivity.

• Support executive travel by ensuring mobile, remote connectivity and collaboration tools function securely worldwide.

• Handle sensitive and confidential information with the highest degree of professionalism and discretion.

It will be an added bonus if you have:

• Exhaust all possible scenarios within their access level when attempting to resolve an issue
• Proactively seek feedback from peers, mentors, and leaders
• Exhibits prideful ownership of work and proactively champions the needs of the team, users, and projects
• Contribute to continuous service improvement by participating in projects and driving operational enhancements.
• Build meaningful and fruitful relationships within the team and cross functionally
• Fearlessly seek improvement personally, within processes, and within the team’s culture

We expect you to have:

• Education: Bachelor’s degree in Information Technology, Computer Science, or related field (or equivalent experience).

• Experience: 5+ years in IT support roles, with at least 2 years supporting executives or VIPs in a corporate environment.

• Technical Expertise:

  • Strong proficiency with Microsoft 365, Exchange, Teams, Zoom, and other collaboration platforms.

  • Advanced troubleshooting skills for Windows, macOS, iOS, and Android.

  • Familiarity with AV conferencing technologies (Cisco, Polycom, Zoom Rooms, etc.).

  • Understanding of networking fundamentals (VPN, Wi-Fi, firewalls, mobile hotspots).

  • Experience with enterprise security protocols (MFA, MDM, encryption).

• Soft Skills:

  • Exceptional communication and customer service skills with a high degree of professionalism.

  • Ability to work under pressure and manage multiple priorities simultaneously.

  • Discretion and integrity when handling sensitive information.

  • Flexible and adaptable, with the ability to support executives outside normal business hours if needed.

• Key competencies:

  • High emotional intelligence and ability to work effectively with executives.

  • Strong problem-solving and critical-thinking abilities.

  • Proactive mindset with a focus on continuous improvement.

  • Commitment to confidentiality and data security.

The role 

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

As a Field Deploy Engineer, you will be leading the on-site delivery and deployment of hardware in new locations.You will plan, coordinate, and supervise activities from rack acceptance tests through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications.

You’re welcome to work in our colocation in Israel.

Your responsibilities will include: 

Planning & Coordination

• Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders.

• Coordinate with logistics, supply chain, data center construction, and network teams to prepare GPU servers for delivery to customers.

• Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met.

On-Site Delivery & Installation

• Supervise racking, cabling, and powering of hardware equipment.
• Ensure configuration, firmware upgrades, and integration with management systems follow standards.
• Work closely with vendors, contractors, and local staff during the installation phase.

Quality & Readiness

• Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly.
• Document installation steps, asset data, and lessons learned for future rollouts.
• Establish and maintain best practices for safe, efficient hardware deployment.

Collaboration & Reporting

• Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership.
• Support transition of deployed hardware to operations teams for steady-state management.
• Contribute feedback to improve hardware design and deployment playbooks.

We expect you to have: 

• 3+ years' experience in data center, hardware, or IT field delivery roles.

• Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling).

• Strong hands-on experience working on datacenter floors with server hardware and Linux troubleshooting.

• Proven track record coordinating deployments across multiple stakeholders and vendors.

• Ability to read and interpret technical documentation, layouts, and wiring diagrams.

• Ability to perform deep diagnostics across hardware, firmware (BIOS/BMC), and Linux (logs, drivers, storage stack basics, performance triage).

• Excellent organizational, communication, and problem-solving skills.

• Willingness to travel frequently (sometimes at short notice).

It will be an added bonus if you have: 

• Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, GPU and system logs correlation).

• Experience with Redfish and BMC tooling (ipmitool/Redfish), firmware lifecycle, and staged rollouts.

• Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.

• Exposure to OCP-based platforms and ODM manufacturing ecosystems.

• Familiarity with change management, asset tracking, and quality-assurance processes.

• Understanding of health, safety, and environmental standards in datacenter or industrial settings.

The role 

We are building our L3 Support Line from scratch to serve as the datacenter center of expertise for servers, firmware (BIOS/BMC), and deep Linux diagnostics across Europe and the US.

This is a senior technical role focused on deep investigations, cross-site pattern detection, and driving permanent fixes with R&D and ODM vendors. You will turn complex incidents into scalable solutions and elevate L1/L2 capabilities through strong technical enablement.

You’re welcome to work in our data center in Israel.

Your responsibilities will include: 

Deep Technical Investigation (Primary Focus)

• Lead root cause analysis beyond L2 depth (GPU failures, firmware issues, Linux-level faults, HW/SW interactions).

• Detect recurring patterns across sites and convert findings into durable fixes.

• Own technical workstreams during high-severity incidents.

Vendor & R&D Collaboration

• Build evidence packs and drive escalations with ODM and R&D.

• Push for firmware, component, and platform-level resolutions.

• Track outcomes and ensure knowledge flows back to operations.

Firmware & Platform Readiness (BIOS/BMC)

• Support validation and rollout of firmware updates (risk assessment, staging, rollback planning).

• Help operationalize platform standards across datacenters.

Knowledge & Enablement

• Create scalable runbooks, troubleshooting guides, and error catalogs.

• Turn investigations into playbooks that elevate L1/L2 teams.

Hands-on Support (As Needed)

• Travel to datacenters for complex troubleshooting, new platform readiness, or incident containment.

We expect you to have: 

• Strong hands-on experience with datacenter servers and deep Linux troubleshooting.

• Ability to diagnose across hardware, BIOS/BMC firmware, and Linux (logs, drivers, storage basics, performance triage).

• Structured incident response experience and clear communication under pressure.

• Experience driving evidence-based escalations with vendors/R&D.

• Fluent English (written and spoken).

It will be an added bonus if you have: 

• Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux logs correlation).

• Experience with ipmitool and Redfish workflows, firmware lifecycle, and staged rollouts.

• Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.

• Exposure to OCP-based platforms and ODM manufacturing ecosystems.

• Experience supporting enterprise bare metal customers under contractual SLAs.

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

About the role:

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

Responsibilities:

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

• Improve performance of inference engines GPU platforms 

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

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

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

Required Qualifications:

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

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

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

• Solid understanding of CPU/GPU architecture and memory hierarchy 

Preferred Qualifications: 

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

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

• Knowledge of Linux internals, drivers, or compiler toolchains 

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

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

We conduct coding interviews as part of the process.

The role

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

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

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

We expect you to have:

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

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

• Experience with training large models on multiple computational nodes

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

• Strong software engineering skills (we mostly use Python)

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

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

• Strong communication and leadership abilities

Nice to have:

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

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

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

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

• Open-source projects that showcase your engineering prowess

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

The role

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

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.

About Tavily Team

Tavily team is building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.

We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.

The Role: Senior Backend Engineer (Tavily)

We're looking for a Software Engineer to join our core engineering team and help build the infrastructure behind one of the fastest-growing AI APIs. You'll work on systems that handle massive scale across a distributed microservices architecture running on AWS. You'll ship fast, take ownership of critical systems, and solve hard infrastructure problems as we grow.

This is a great role for an engineer who loves building ambitious systems from scratch, and wants to tackle the kind of scale and complexity challenges typically reserved for much larger companies.

What You’ll Do

• Design and build high-performance distributed systems

• Design and implement backend infrastructure and API endpoints

• Build and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors

• Improve performance, monitoring, and reliability across the stack

• Own core systems and contribute to key architectural decisions

• Help shape a strong engineering culture focused on velocity and quality

What You Bring

• 5 years of professional software engineering experience

• Strong backend development skills

• Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale

• Hands-on expertise with AWS infrastructure and cloud-native services, bringing practical knowledge of deploying and managing services in real-world environments

• Comfortable in a fast-paced startup environment with lots of ownership

• Strong sense of ownership and accountability over outcomes

• Curiosity about LLMs, retrieval and the future of AI systems, with a drive to stay at the forefront of new technology

• Based in Tel-Aviv or open to relocating

Nice To Have

• Familiarity with DevOps practices, including CI/CD pipelines, infrastructure as code, Kubernetes orchestration, and modern monitoring tools

The Role

Tavily team is building the search engine for AI agents. We believe the future of work will be led by AI agents, and that requires restructuring how the web is accessed. Our Search API provides web access for AI agents, enabling real-time internet search optimized for LLMs and Retrieval-Augmented Generation (RAG). We are backed by leading investors and serve developers and enterprises worldwide. Our team is fast-moving and ambitious. We ship quickly, iterate constantly, and care deeply about impact.

As a Software Engineer - Scraping Specialist, you’ll build the systems that power how AI interacts with the live web. You’ll design and implement large-scale, intelligent web acquisition pipelines, making sense of an ever-changing online ecosystem and transforming it into structured, high-quality data.

This role blends technical understanding of browsers, networks, and automation with hands-on engineering. You’ll work on adaptive systems that navigate modern websites, understand evolving web interaction ,detection systems, and gather meaningful information safely, efficiently, and at scale.

Your work will directly shape Tavily’s ability to provide AI agents with accurate, real-time knowledge of the world , bridging the gap between the open web and intelligent reasoning.

What You’ll Do

• Build distributed data acquisition systems that capture and structure the live web
• Investigate and analyze browser internals, fingerprinting, and anti-automation systems to develop stealthy, adaptive orchestration layers
• Prototype and deploy intelligent automation frameworks using Playwright, Puppeteer, and low-level browser control protocols (CDP)
• Conduct hands-on research into network flows, JavaScript-based protections, and emerging web standards affecting automation
• Collaborate with AI and infrastructure teams to integrate real-time web data into retrieval pipelines and LLM-powered agents
• Translate deep technical insights into production-grade components, balancing research freedom with engineering rigor
• Continuously evolve Tavily’s capabilities in resilience, speed, and authenticity of web interaction

What We’re Looking For

• 3–5 years of experience as a backend or systems engineer, ideally working with large-scale, distributed, or web-facing infrastructure
• Strong programming skills in Python or Node.js, with experience in Go or C++ considered a strong plus
• Proven experience building and maintaining browser automation systems (Playwright, Puppeteer, or CDP) in production environments
• Solid understanding of browser internals, network protocols, and web interaction mechanisms
• Experience designing high-performance, resilient systems that handle scale, concurrency, and complex orchestration
• Strong debugging and analytical skills - able to investigate edge cases, performance bottlenecks, and behavior under dynamic web conditions
• Comfortable working in a fast-moving environment, collaborating closely with product, AI, and infrastructure teams to ship reliable systems quickly
• Excellent documentation and communication skills to ensure smooth integration and operational visibility

Nice to Have

• Familiarity with cloud infrastructure, containerization (Docker), Kubernetes, and CI/CD
• Experience integrating AI or retrieval systems into production pipelines

The role

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

Your responsibilities will include:

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

We expect you to have: 

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

Nice to have:

Experience designing high-load and scaling services.

We conduct coding interviews as part of the process.

The role

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

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

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

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

What’s inside the platform

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

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

What you’ll do

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

In this role, you will:

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

Example projects

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

Tech stack

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

What we expect

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

Nice to have

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

We conduct coding interviews as part of the process.

The role

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

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

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

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

Your responsibilities will include: 

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

We expect you to have:

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

Nice to have:

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

The role

Nebius is looking for a highly technical, hands-on SIEM Engineer Lead to design, implement, and optimize advanced Security Information and Event Management (SIEM) capabilities. This role is responsible for developing detection strategies, improving security visibility, and driving automation across security operations processes. The ideal candidate will combine deep SIEM expertise with strong analytical and engineering skills to enhance threat detection, incident response efficiency, and security monitoring maturity. This is not a people management position, you will provide technical guidance, mentorship, and direction to SOC analysts, security engineers, and cross-functional teams

You’re welcome to work in our offices in Tel Aviv.

Your responsibilities will include: 

• Architect, deploy, and maintain enterprise SIEM platforms and related security monitoring infrastructure.
• Develop and optimize detection rules, correlation logic, and alert mechanisms to identify security threats and anomalous activity.
• Design and implement log ingestion pipelines, normalization, and enrichment processes across diverse data sources.
• Continuously improve detection coverage by analyzing threat intelligence, attacker techniques, and emerging vulnerabilities.
• Create and maintain dashboards, reports, and metrics to support security visibility and operational decision-making.
• Drive automation of security monitoring and response workflows using scripting, APIs, and orchestration tools.
• Perform tuning and performance optimization of SIEM platforms to ensure scalability and reliability.
• Conduct threat hunting activities and support complex security investigations using SIEM data.
• Collaborate with engineering, infrastructure, and security stakeholders to integrate new log sources and telemetry.
• Develop documentation, standards, and best practices for SIEM configuration, logging, and detection engineering.
• Create APIs and interfaces that enable AI agents to query SIEM, pull evidence, and execute actions

We expect you to have: 

• 5+ years of experience in cybersecurity with strong focus on SIEM engineering or security monitoring.
• Hands-on experience with SIEM platforms such as Splunk, Microsoft Sentinel, QRadar, CrowdStrike, Elastic, or similar.
• Strong knowledge of log analysis,event correlation, and detection engineering.
• Experience with data pipelines, log parsing, and schema design.
• Experience with SOAR platforms and security automation.
• Experience with scripting or programming (e.g., Python, PowerShell, Bash) for automation and integrations.
• Solid understanding of network protocols, operating systems, cloud environments, and common attack techniques.
• Familiarity with frameworks such as MITRE ATT&CK, NIST, or CIS for detection mapping and security controls.
• Experience integrating threat intelligence and security tools with SIEM platforms.
• Knowledge of cloud logging and monitoring (AWS, Azure, GCP).
• Strong knowledge of Kubernetes architecture and security concepts
• Experience with Terraform, CI/CD pipelines and Detection as code workflow

It will be an added bonus if you have: 

• Experience building and deploying LLM-based AI agents
• Experience in transitioning from manual SOC to AI-augmented operations.
• Relevant security certifications
• Certification in cloud computing, including administration, development, engineering, or architecture.
• Knowledge of AI safety and reliability - guardrails, validation, human oversight mechanisms

The role

We’re looking for a IT infrastructure engineer to troubleshoot and solve data center IT hardware issues, process the RMA. This is a position for a technical expert working at the intersection of multiple technical and operational domains.

Your responsibilities will include

• Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture and advanced troubleshooting

• Execute workarounds and solutions for IT hardware issues

• Act as a subject matter expert and point of escalation for L1 and L2 technicians

• Create new processes and documentation for IT hardware team

• Collaborate with related departments to im

• Collaborate with vendors on warranty replacements (RMA), create requests and manage.

• Improve support processes, documentation and training materials

Requirements

• Knowledge of datacenters, and server equipment

• Deep knowledge of IT hardware and practical experience of troubleshooting

• Skills working with the Unix/linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Skills of repairing electronics at the component level (SMD)

• Knowledge of network equipment and troubleshooting

• Driving license type B

The role

We’re looking for a IT infrastructure engineer to troubleshoot and solve data center IT hardware issues, process the RMA. This is a position for a technical expert working at the intersection of multiple technical and operational domains.

Your responsibilities will include

• Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture and advanced troubleshooting

• Execute workarounds and solutions for IT hardware issues

• Act as a subject matter expert and point of escalation for L1 and L2 technicians

• Create new processes and documentation for IT hardware team

• Collaborate with related departments to im

• Collaborate with vendors on warranty replacements (RMA), create requests and manage.

• Improve support processes, documentation and training materials

Requirements

• Knowledge of datacenters, and server equipment

• Deep knowledge of IT hardware and practical experience of troubleshooting

• Skills working with the Unix/linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Skills of repairing electronics at the component level (SMD)

• Knowledge of network equipment and troubleshooting

• Driving license type B

The role

We’re looking for an L2 IT Technician in data center to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer to This role focuses on troubleshooting of high-performance server hardware, including GPU clusters.

You will be deeply involved in resolving complex hardware incidents, proactively handling L1/L2 support via the ticketing system. Working closely with IT infrastructure engineers and L3 technicians, you will help optimize diagnostics, reduce resolution times, and continuously improve SLA performance.

This role requires shift work (day & night), that will be compensated.

Your responsibilities will include

• Solve hardware related issues with servers, involving in-depth advanced level troubleshooting

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

• Collaborate with IT infrastructure engineers and L3 Technicians to improve SLA with complex diagnostics

• Improve support processes, documentation and training materials

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

• Advanced skills working with the Unix/Linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Driving license type B

The role

We’re looking for an L2 IT Technician in data center to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer to This role focuses on troubleshooting of high-performance server hardware, including GPU clusters.

You will be deeply involved in resolving complex hardware incidents, proactively handling L1/L2 support via the ticketing system. Working closely with IT infrastructure engineers and L3 technicians, you will help optimize diagnostics, reduce resolution times, and continuously improve SLA performance.

This role requires shift work (day & night), that will be compensated.

Your responsibilities will include

• Solve hardware related issues with servers, involving in-depth advanced level troubleshooting

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

• Collaborate with IT infrastructure engineers and L3 Technicians to improve SLA with complex diagnostics

• Improve support processes, documentation and training materials

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

• Advanced skills working with the Unix/Linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Driving license type B

#LI-VA1 #LI-Office

Your Role:

At Tenable, we are looking for curious minds dedicated to user success. If you are passionate about providing world-class support, eager to integrate AI into your daily workflow, and ready to take ownership of endpoint security, this is the role for you.
We are looking for a security-conscious IT Support Engineer with 3+ years of experience providing high-touch technical support for global, high-growth organizations. Expert in managing Windows and macOS environments via JAMF and BigFix, with a strong focus on endpoint security and vulnerability remediation. Proficient in using AI tools like Google Gemini and Claude to streamline documentation and accelerate technical troubleshooting. Dedicated to ensuring minimal downtime through proactive infrastructure support and white-glove executive service.
Your Opportunity:

• Technical Troubleshooting: Diagnose and resolve complex issues related to Windows and macOS, mobile devices, and core business applications.
• Executive & Global Support: Provided high-touch technical assistance to C-suite executives and remote global staff, maintaining minimal downtime for critical business operations.
• AI-Assisted Efficiency: Utilized AI tools to accelerate the creation of technical documentation and internal "How-To" guides.   
• Endpoint Security: Ensure all staff devices are patched, compliant, and secure at all times, often addressing vulnerability tickets directly.
• User Onboarding: Provision hardware and access to Tenable’s services and Applications for new hires. Conduct IT orientation training both in person and remotely ensuring new hires are fully provisioned and trained on Day 1
• Infrastructure Support: Maintain and troubleshoot local office networks, Wi-Fi, and conferencing technologies (e.g., Zoom, Google Workspace).
• Global Collaboration: Partner with global teams in InfoSec, Networking, and Systems Operations to adhere to global IT processes.
• Lifecycle Management: Managed the end-to-end hardware lifecycle, from automated provisioning via Apple Business Manager to secure decommissioning and data destruction.

What You'll Need:

• Experience: 3+ years of technical support experience, ideally in a fast-paced or global high-tech environment.
• OS Proficiency: Strong expertise in configuring and troubleshooting Windows and macOS environments, including VMs, Active Directory, and DNS.
• Technical Stack: Hands-on experience with MSP/MDM tools like JAMF, BigFix, and ticketing system, ServiceNow.
• Networking Knowledge: Solid understanding of TCP/IP, Wi-Fi, and common information security practices.
• Soft Skills: Superior customer service and communication skills, with the ability to explain complex technical guidance to non-technical users.
• Project Management: Ability to lead or participate in internal IT projects independently.

And Ideally:

• Familiarity with AWS Workspaces, Okta, or specialized security tools like Nessus.
• Certifications such as CompTIA A+, Network+, or Microsoft/Cisco credentials.
• Experience working with AI tools such as Google Gemini and Claude

#LI-Hybrid

#LI-JG1

Role Overview

Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a talented Senior ASIC Design Engineer to help build our local engineering powerhouse from the ground up. This is an exciting opportunity to take on meaningful product ownership in a new site, designing the digital blocks that sit at the heart of our most ambitious connectivity projects.

As a Senior ASIC Design Engineer, you won't just build chips—you will be part of a team defining the next generation of AI infrastructure main components. The complex digital blocks under your micro-architecture and implementation responsibilities will power the world's largest AI clusters. You will own the journey from high-level definition through RTL implementation and backend support, transforming complex logic challenges into elegant, high-performance hardware. If you thrive on solving challenging problems in deep-submicron processes and want to contribute to the digital design foundation for AI infrastructure connectivity, this is your opportunity.

Key Responsibilities

• Design Ownership & Implementation

  • Own the journey from high-level definition through micro-architecture, coding, and debug to backend implementation support
  • Tackle complex logic challenges and transform them into elegant, high-performance hardware solutions
  • Serve as the point of contact for your logic blocks, interacting with Architecture, Verification, and Backend teams

• Quality Assurance & Design Optimization

  • Utilize industry-leading EDA tools (Lint, CDC, Synthesis, Timing, Power) and in-house quality assurance tools to ensure designs are robust, scalable, and power-efficient
  • Apply design techniques to meet PPA (Power, Performance, Area) targets
  • Contribute to design quality through verification and validation activities

• Methodology Innovation & Collaboration

  • Participate in design methodology improvements and tool automation initiatives
  • Leverage AI assistance tools and contribute to in-house automation development to make engineering workflows faster and smarter
  • Collaborate effectively across teams to ensure seamless integration

Basic Qualifications

• Bachelor's degree in Electrical Engineering or related technical field
• 3+ years of experience in logic design at semiconductor companies
• Knowledge and experience in Verilog and/or SystemVerilog
• Excellent communication skills with ability to work effectively across teams
• Understanding of digital design principles and RTL coding best practices

Preferred Qualifications

• Master's degree in Electrical Engineering or related field
• Knowledge of DDR and PCIe protocols and implementation
• Understanding of power management techniques for low-power design
• Familiarity with Clock Domain Crossing, simulation, debugging, synthesis, and timing analysis
• Proficiency in scripting languages such as Python or Perl
• Experience with high-speed serial interface designs or connectivity protocols

Role Overview

Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a talented Senior Emulation Engineer to help build our local engineering powerhouse from the ground up. This is an exciting opportunity to take on meaningful ownership in a new site, implementing the emulation strategy for chips that power the world's largest AI clusters.

As an Senior Emulation Engineer, you will be a core technical driver of our Israel R&D center, working at the intersection of hardware and software to ensure our silicon meets extreme quality and performance targets. You will execute end-to-end emulation flows, bridge the gap between RTL and functional validation, and partner with cross-functional teams to enable seamless hardware-software integration. If you thrive on solving complex technical challenges and want to play a key role in validating cutting-edge AI infrastructure connectivity solutions, this is your opportunity.

Key Responsibilities

• Emulation Flow Execution & Implementation

  • Execute end-to-end emulation flow from high-level model generation and RTL synthesis to complex system-level testing and silicon-accurate debugging
  • Work directly with next-generation emulation platforms (Zebu, Palladium, or Veloce) to implement cutting-edge methodologies
  • Maintain and evolve emulation flows to reduce compile times and increase execution speed, directly impacting time-to-market

• System-Level Debug & Validation

  • Drive initial model bring-up process in high-stakes environment, identifying and resolving complex bugs
  • Ensure rapid cycles from RTL to functional stability through systematic debug approaches
  • Own technical blocks and drive them to completion independently

• Cross-Functional Collaboration

  • Partner with Firmware, Software, and Validation teams to debug complex system-level scenarios
  • Ensure seamless hardware-software integration for AI infrastructure connectivity
  • Collaborate with Design and Verification teams to optimize emulation strategies

Basic Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, or related technical field
• 3+ years of hands-on experience in Emulation at semiconductor companies
• Deep expertise in emulation flows for large-scale chips using industry-standard emulators (Zebu, Palladium, or Veloce)
• Strong background in SystemVerilog for developing, testing, and debugging complex SoC designs
• Experience developing and maintaining execution flows for building, running, and debugging emulation models
• "Can-do" approach with ability to own technical blocks and drive them to completion independently

Preferred Qualifications

• Master's degree in Electrical Engineering, Computer Engineering, or related field
• Familiarity with EDA tools for Lint, Clock Domain Crossing (CDC), simulation, and synthesis
• Proficiency in scripting languages such as Python or TCL for automation and flow enhancement
• Experience with standard debug environments (e.g., Verdi)
• Knowledge of high-speed interface protocols (PCIe, Ethernet, CXL, UALink)
• Background in hardware-software co-verification methodologies

Role Overview

Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a highly skilled Front-End CAD Engineer to join our local engineering powerhouse from the ground up.

As a Front-End CAD Engineer, you will be the backbone of our chip design ecosystem. You won’t just be using tools; you’ll be architecting the methodologies, automation scripts, and design flows that enable our hardware teams to push the limits of silicon performance. Your work directly impacts the productivity of the design team and the time-to-market for our next-generation processors.

Key Responsibilities

• Develop, maintain, and optimize RTL generation tools, building automated IPs and SoC schemes
• Create robust applications using Python and Tcl to automate models build, regression and analysis tools and other assisting tools for all disciplines in front-end flows
• Evaluate and integrate Electronic Design Automation (EDA) tools from vendors like Cadence, Synopsys, and Mentor Graphics
• Define the methodologies of usage and integrate AI tools in this fast-growing field impacting all VLSI development flows

Basic Qualifications

• Bachelor’s degree in Electrical Engineering or a related technical field
• 5+ years of hands-on professional experience in relevant industries 
• Proven experience in Python and Tcl within a Linux/Unix environment
• Knowledge and experience in Verilog and/or System Verilog
• Very good communication skills

Preferred Experience

• Strong understanding of the VLSI design cycle, familiarity with clock domain crossing, simulation, debugging, synthesis and timing analysis
• Hands-on experience with industry-standard tools for lint, synthesis, simulation
• Experience with version control systems (Git) and compute cluster management (LSF/SGE)

An overview of this role

You'll join GitLab's Software Supply Chain Security stage as the Staff Engineer, Secrets Management, providing technical leadership for GitLab's strategic investment in integrated secrets management. You'll set the technical direction for GitLab Secrets Manager, our OpenBao-powered solution that helps customers securely store, distribute, and manage the lifecycle of secrets used across CI/CD pipelines. This role sits at the intersection of the GitLab platform and the OpenBao open source project: you'll drive architecture decisions for multi-tenant secrets management at scale, guide integration into GitLab, and contribute upstream so we can deliver capabilities customers can trust.

In your first year, your success will look like a clear, scalable architecture for GitLab Secrets Manager, reliable performance that meets GitLab.com needs in partnership with Infrastructure teams, and strong cross-team alignment across Pipeline Security, Authentication, and Platform. You'll also represent GitLab in OpenBao's governance and technical discussions, helping ensure our product direction and upstream contributions reinforce each other.

How we interview

Our process includes technical interviews and stakeholder conversations focused on how you partner across functions and drive alignment.

You should expect questions about how you collaborate with cross-functional partners and communicate tradeoffs in ambiguous, high-impact work.

What you'll do

• Lead the technical strategy for GitLab Secrets Manager, setting architecture direction for secure, multi-tenant secrets management at scale.
• Own the integration between GitLab and OpenBao, including namespaces, authentication mechanisms, and policy management.
• Collaborate with Pipeline Security, Authentication, and Platform teams to propose, review, and deliver cross-team secrets management improvements.
• Partner with GitLab.com Infrastructure teams to ensure secrets management meets reliability, performance, and operational requirements.
• Represent GitLab in the OpenBao open source project by contributing features upstream, participating in technical steering discussions, and maintaining strong technical credibility.
• Mentor and advise engineers on secrets management, cryptographic systems, and secure architecture patterns, raising the quality and consistency of designs and implementations.
• Interface with engineering managers and senior leadership to scope initiatives, clarify tradeoffs, and unblock delivery across teams.
• Engage with customers and external stakeholders to understand real-world needs and communicate GitLab's secrets management capabilities and roadmap direction.

What you'll bring

• Experience designing and operating secrets management systems (for example, HashiCorp Vault, OpenBao, or cloud-native offerings), including secure storage, access control, and audit logging.
• Ability to lead architecture decisions for resilient, multi-tenant services that handle secrets operations at scale, including high availability and cluster management patterns.
• Working knowledge of cryptographic and key management concepts, such as encryption in transit and at rest, key derivation, and hardware security module (HSM) or PKCS#11 integrations.
• Experience implementing authentication and authorization integrations, such as JSON Web Token (JWT) or OpenID Connect (OIDC), mutual Transport Layer Security (mTLS), and certificate-based authentication.
• Proficiency building product integrations in Go (within the OpenBao or Vault ecosystem) and Ruby on Rails for GitLab platform integration.
• Experience contributing to open source projects and working effectively with distributed governance, balancing upstream needs with product requirements.
• Demonstrated ability to operate with high autonomy, drive strategy, and serve as a trusted partner to senior leaders (including constructively challenging assumptions and tradeoffs).
• Strong communication and collaboration skills to influence across teams and levels, including mentoring engineers and working in a fully remote, asynchronous environment.

About the team

The Secrets Management team sits within the Pipeline Security group in GitLab's Software Supply Chain Security stage. We own GitLab Secrets Manager, an OpenBao-powered capability that helps teams securely store, distribute, and manage the lifecycle of secrets used across continuous integration and continuous delivery (CI/CD) pipelines. The team works closely with Authentication, Authorization, Compliance, and Platform counterparts to deliver secure defaults, reliable operations for GitLab.com, and product-grade integration between GitLab and OpenBao (including namespaces, authentication, and policy management). Our core challenge is building multi-tenant secrets management at scale while balancing upstream open source collaboration with the needs of GitLab customers.

• Adversarial Engineering: Design and implement Python-based distributed frameworks capable of orchestrating millions of concurrent IO operations to hunt down race conditions and memory leaks.
• AI-Augmented Validation: Be at the forefront of the AI-Native transformation. You will leverage LLMs and Generative AI to automate complex scenario generation, build intelligent agents for root-cause analysis, and multiply your engineering velocity.
• Simulation & Chaos: Build the "Entropy Engine." You will develop tools that inject real-world failures - latency, packet loss, and hardware crashes - to prove the resilience of our Raft and RDMA implementations.
• Deep-System Observability: Move beyond "Pass/Fail." You will build telemetry pipelines to track P99 latency and jitter, providing critical architectural feedback to the Core Kernel teams.
• Collaborative Architecture: You will operate with the same rigorous standards as the Core R&D team: design docs, production-grade code reviews, and high-level architectural planning.

• Extensive Coding experience: You are a Python expert who understands "under the hood" internals. You are comfortable reading and debugging C++, Rust, or Go to understand how the core system works.
• Systems Engineering Mindset: You have a background in distributed systems, networking (TCP/IP, RDMA), or storage protocols. You understand the complexities of consistency and metadata at scale.
• AI Enthusiast: You are an early adopter of AI tools (Copilot, LLMs) and are excited about using them to automate the most tedious parts of the engineering lifecycle.
• The "SRE" Lens: You approach quality through the lens of Site Reliability Engineering. You care about observability, MTTD (Mean Time to Detection), and building self-healing testing loops.
• Problem Hunter: You have a "hacker" instinct. You don’t just find a bug; you find the architectural flaw that allowed it to exist.

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

As a Senior Software Engineer, you’ll:

You will be responsible for building the "brain" of Weka’s main product, which is a distributed file system —the layer that manages orchestration, metadata, cluster membership, and implements complex logic required to manage hundreds of thousands of nodes, for cluster scaling, automated failover, zero-downtime rolling upgrades and "self-healing" to detect and remediate hardware failures or network partitions.

• Design, implement, unit test, and maintain services that coordinate and the cluster 
• Optimize Performance: Work with complex data structures like spanning trees  or LSM-Trees, concurrency control mechanisms (MVCC) to improve speed and efficiency.
• Collaborate closely with cross-functional teams to translate backend capabilities into real-world impact

Requirements:

• Ownership mindset, self-direction, and a passion for solving complex problems.
• 5 year experience in systems programming, preferably C/C++
• Proven experience building complex, high-performance distributed systems such as databases, file systems, or distributed data platforms, at scale
• Strong distributed troubleshooting and incident resolution skills.

It's nice if you have:

• Experience with Rust/ Go
• Experience with NGINX/Envoy and general background in networking concepts 
• Experience working with K8s 
• Experience with distributed consensus protocols (such as  Raft or Paxos)

The WEKA Way:

• We are Accountable: We take full ownership, always– even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

 WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

About WEKA

WEKA is redefining the enterprise data stack for the age of AI. Our platform enables the world’s most advanced organizations to run high-performance workloads - from large-scale model training to real-time inference - faster and more efficiently.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

The Role

This is a rare opportunity to:

• Have a direct impact on AI performance and GPU efficiency at scale
• Combine deep technical thinking with product ownership
• Own product decisions that influence real-world system behavior

As a Product Manager at WEKA, you will define how next-generation AI workloads interact with high-performance storage and networking systems.

This is a deep-tech product role at the core of our platform, where your decisions directly impact performance, scalability, and efficiency across large-scale AI environments.

You’ll operate at the intersection of product, distributed systems, and hardware-aware infrastructure - shaping how modern data platforms are built and optimized.

What You'll Do

• Define and execute product strategy for WEKA’s platform and infrastructure layer
• Own the product roadmap - balancing innovation, performance, and customer needs
• Work closely with engineering to design and deliver high-performance capabilities
• Translate complex technical challenges into clear product decisions and priorities
• Partner with customers and internal teams to understand real-world use cases and constraints
• Stay ahead of trends in storage, networking, and distributed systems
• Collaborate with top engineers, architects, and customers solving cutting-edge challenges

What You Bring

You’re a product thinker with a strong technical foundation, who enjoys going deep into complex systems.

You might come from one (or more) of these backgrounds:

• Product Manager in infrastructure / platform / deep-tech domains
• Software Engineer or Architect who transitioned into product
• Sales Engineer highly experienced with storage, networking, or distributed systems

Your Experience Includes

• Experience in one or more of the following:
• Storage systems (e.g., NVMe, SSDs, RAID)
• Networking / high-performance protocols (e.g., RDMA, DPDK)
• Distributed systems / infrastructure platforms
• Ability to work closely with engineering on complex technical challenges
• Strong communication skills - able to bridge technical and non-technical stakeholders
• Experience driving product decisions in fast-paced environments

Nice to Have 

• Familiarity with technologies like RDMA (InfiniBand, RoCE), GPUDirect Storage, or kernel-bypass networking
• Understanding of performance optimization (latency, throughput, IOPS)
• Experience with large-scale data or AI infrastructure

We are looking for a highly skilled Senior Machine Learning Engineer to lead our transition from on-demand, third-party LLM APIs to a fully self-hosted, scalable model ecosystem.

Our core product is an advanced, agentic support chatbot capable of complex reasoning, API tool calling, database lookups, and orchestrating specialized Small Language Models (SLMs) for targeted NLP tasks. As we scale, our current deployment infrastructure (AWS SageMaker) is becoming unsustainable. You will be responsible for architecting, deploying, and optimizing an infrastructure capable of supporting 50 to 100 distinct models ranging from 100M to 70B parameters.

What You’ll Do:

• Inference Optimization: Deploy and manage large-scale models using high-performance inference engines (like vLLM) to ensure low latency and high throughput for our agentic chatbot.
• Agentic Workflows: Develop and refine the chatbot's agentic capabilities, ensuring reliable tool-use, routing, and interactions between massive LLMs and specialized SLMs.
• Model Fine-Tuning: Design and execute fine-tuning strategies to improve model accuracy on specific domain tasks and tool-calling execution.
• Rigorous Evaluation: Build comprehensive offline and online evaluation frameworks to constantly measure model performance and business impact through structured A/B testing.

What We’re Looking For:

Core Engineering & AI Frameworks

• Strong proficiency in Python and Bash scripting.
• Deep experience with PyTorch and the Hugging Face ecosystem.
• Experience using AI coding assistants natively in the terminal, specifically Claude Code, to accelerate development workflows.

LLMs, Inference & Agents

• Proven experience deploying models using vLLM, TGI, or similar high-performance inference servers.
• Strong fundamental understanding of LLM architectures, attention mechanisms, and generation parameters.
• Hands-on experience building Agentic systems (ReAct, function/tool calling, RAG).
• Expertise in fine-tuning strategies (e.g., SFT, RLHF, DPO) and parameter-efficient techniques (PEFT/LoRA).

Statistics & Model Evaluation

• Offline Metrics: Deep understanding of classification/summarization metrics (Precision, Recall, F1, AUC) and retrieval metrics (MRR, NDCG, Precision/Recall @ k).
• Online Metrics & A/B Testing: Strong statistical foundation to design and analyze A/B tests safely, including the use of t-tests, Mann-Whitney U tests, and bootstrapping techniques.

Bonus Points

• Containerization & Orchestration: Experience with Ray for orchestrating large-scale model deployments across multi-GPU clusters.
• Model Quantization: Experience with memory optimization techniques like AWQ, GPTQ, GGUF, or FlashAttention to fit 70B models efficiently onto hardware.
• API Development: Proficiency in building robust, asynchronous microservices using FastAPI to serve model requests.

• Knowledge of Data Engineering principles: dataset collection, cleaning, processing, and scalable storage.

Experience with core MLOps practices, including dataset versioning (e.g., DVC), experiment tracking (e.g., Weights & Biases, MLflow), and model registries.

Mechanical Design Engineer

Who are we

Electreon is a publicly traded Israeli company, developing and implementing Wireless Electric Road Systems (ERS) a shared, invisible platform that wirelessly charges commercial and passenger electric vehicles while driving. By significantly decreasing battery size, cost and weight and improving operational efficiency, Electreon offers governments, cities and fleet operators the most sustainable and cost-effective solution towards 100% global electrification.

What will you do?

As a part of the R&D mechanical team you'll lead and design the required solutions for a high-end Wireless charging system. From the stages of concept definition to successful implementation. You'll have full ownership of the mechanical design, including analysis, testing, manufacturing, validation and integration. you'll collaborate with cross-functional design teams such as hardware, electronics, and software.
And you will be an integral part of a dynamic environment with great team energy.

Your role involves providing support for production and ensuring compliance with deadlines, quality and cost targets.

Requirements

• Sc. / M.Sc. in Mechanical Engineering
• An experienced Mechanical Design engineer with 8 years of experience in product development.
• 3D CAD & PLM experience (SolidWorks/PDM preferred).
• Experience in complex Electro Mechanical designs. knowledge in Heat dissipation solutions and thermal management systems, PCB design, electrical packaging and design for large scale manufacturing.
• knowledge in High flux heat dissipation, structural analysis, materials, coatings, High voltage isolation, sealing, DFM & geometrical tolerances.
• Advantage- knowledge of Different production techniques including CNC, compaction, Sheet Metal, welding and 3D printing
• Advantage- knowledge with Automotive & EV standards
• Ability to effectively communicate product architectures, design proposals and negotiate options at management levels.
• Team player, problem-solving attitude and excellent interpersonal skills.
• Hands-on experience for projects and flexible mindset.

The position is located at Bait Yanai, Israel

Mechanical Design Engineer Leader

Who are we

Electreon is a publicly traded Israeli company, developing and implementing Wireless Electric Road Systems (ERS) a shared, invisible platform that wirelessly charges commercial and passenger electric vehicles while driving. By significantly decreasing battery size, cost and weight and improving operational efficiency, Electreon offers governments, cities and fleet operators the most sustainable and cost-effective solution towards 100% global electrification.

What will you do?

As a part of the R&D mechanical team you'll lead and design the required solutions for a high-end Wireless charging system. From the stages of concept definition to successful implementation. You'll have full ownership of the mechanical design, including analysis, testing, manufacturing, validation and integration. you'll collaborate with cross-functional design teams such as hardware, electronics, and software.
And you will be an integral part of a dynamic environment with great team energy.

Your role involves providing support for production and ensuring compliance with deadlines, quality and cost targets.

Requirements

• Sc. / M.Sc. in Mechanical Engineering
• An experienced Mechanical Design engineer with 8 years of experience in product development.
• 3D CAD & PLM experience (SolidWorks/PDM preferred).
• Experience in complex Electro Mechanical designs. knowledge in Heat dissipation solutions and thermal management systems, PCB design, electrical packaging and design for large scale manufacturing.
• knowledge in High flux heat dissipation, structural analysis, materials, coatings, High voltage isolation, sealing, DFM & geometrical tolerances.
• Advantage- knowledge of Different production techniques including CNC, compaction, Sheet Metal, welding and 3D printing
• Advantage- knowledge with Automotive & EV standards
• Ability to effectively communicate product architectures, design proposals and negotiate options at management levels.
• Team player, problem-solving attitude and excellent interpersonal skills.
• Hands-on experience for projects and flexible mindset.

The position is located at Bait Yanai, Israel

The role 

We’re seeking an exceptional Principal Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan from the ground up.

In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

Key responsibilities:

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.

About you  

In order to set you up for success at Wayve, we’re looking for the following skills and experience.  

• 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C/C++, Bash, and Python.
  Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
  Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
• No Japanese language required. 

Desired 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This is a full-time role based in our office in Tokyo - we offer relocation package and visa sponsorship.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

The role 

We are hiring Senior and Staff ML Engineers that sit within Safety Systems / autonomy organisations, building critical behaviours for Level 2 to level 4 driving. It is highly product-focused: you will train and iterate on end-to-end driving models and get them shipped into the car on a fast timeline measured in months. The opportunity is to own the full loop from data and training through evaluation and on-road validation, with direct impact on high-priority commercial deliveries (including the Nissan MVP). You will join a small, high-ownership teams at the point of rapid growth, where execution and real-world outcomes matter.

Key responsibilities

• Develop the AI driver model architecture and training algorithms to introduce and enhance the safety behaviors for L2/L3/L4
• Own key parts of the training model lifecycle, including evaluation strategy, success metrics, and iteration planning.
• Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviours, and implement data schemes to support training.
• Run and analyse on-road and offline experiments, translate results into clear next steps, and drive improvements through repeated training cycles.

About you  

In order to set you up for success as a Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.  

Essential

• Proven experience training deep learning models, with clear end-to-end ownership (data, training, evaluation, iteration).
• Proven Experience taking ML models into production, including working through real-world constraints and quality and safety requirements.

Desirable

• Reinforcement learning experience (especially where it materially improved real-world performance).
• Experience with end-to-end driving models and / or transformer networks 
• Automotive or OEM experience, or prior work that involved deploying ML into safety-critical systems.
• Experience with a Pytorch lightning training infrastructure 

This is a full-time role based in our office in Israel.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   

The role 

As a member of the Embedded Automotive Platforms team, you will contribute towards the creation of a software platform that interfaces with the automobile’s embedded hardware. This includes developing abstractions and APIs that enable Wayve’s software and robotics teams to deploy AV software efficiently. Your role involves understanding the capabilities and nuances of various deployment platforms and creating abstractions that minimise the need for Onboard Applications to be customised for each target platform.You will play a crucial role in advancing Wayve’s AV technology. Your contributions will drive the efficiency, maintainability, and scalability of the embedded systems that underpin our autonomous vehicles.

Key responsibilities:

• Design, develop and maintain embedded software for autonomous vehicle platforms, focusing on sensor integration and hardware abstraction.
• Implement and optimize device drivers for various sensors and compute hardware.
• Collaborate with cross-functional teams to define software requirements and ensure seamless integration with the autonomous driving application stack.
• Debug and troubleshoot software issues, ensuring high reliability and performance.
• Participate in code reviews, testing, and documentation to maintain high software quality standards.
• Stay up-to-date with industry trends and advancements in embedded systems and autonomous vehicle technology

About you  

In order to set you up for success as an Embedded Automotive Platforms Engineer at Wayve, we’re looking for the following skills and experience.  

Essential 

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field
• Proven experience in embedded software development, with a strong preference for the automotive, autonomous driving, or robotics industries
• Proficiency in C++ programming language for high-performance systems
• Hands-on experience with embedded operating systems (e.g., Linux, QNX)
• Strong understanding of Middleware architectures and IPC mechanisms
• Proficiency in profiling and tracing tools to diagnose bottlenecks and latency issues
• Familiarity with Hardware Abstraction Layers (HAL) and device driver development
• Knowledge of sensor technologies (e.g., LiDAR, RADAR, cameras) and their integration with embedded systems
• Strong debugging skills and attention to detail in complex systems
• Excellent communication and teamwork skills 
• Ability to work in a fast-paced and dynamic environment

Desirable 

• Prior experience developing and deploying autonomous vehicle software on commercial automobiles
• Experience with NVIDIA Drive Orin platform, Qualcomm 8650/8620 or similar automotive computing platforms
• Understanding of safety-critical software development and automotive standards (e.g., ISO 26262, AUTOSAR, MISRA)

This is a full-time role based in Sunnyvale or Israel.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  

We’re looking for an IoT Embedded Linux engineer to design, build, and own the software stack that powers our edge devices in the field. You’ll craft resilient Linux-based systems (from bootloader to application), ensure secure and reliable connectivity to the cloud, and work closely with hardware, manufacturing, and backend teams to deliver production-ready devices at scale.

A Day In Your Life 

• Own the embedded Linux platform: BSP, kernel configuration, device tree, bootloaders (e.g., U-Boot), systemd services, and startup/upgrade flows.
• Develop user-space applications using object-oriented principles (C++/Go/Rust/Similar) to implement core device logic and features, leveraging available libraries and frameworks.
• Build production images using Yocto or Buildroot, manage layers/recipes, and maintain reproducible builds for multiple hardware variants.
• Implement secure OTA updates (e.g., Mender, RAUC, SWUpdate), with A/B partitions, rollback, and signing—targeting zero‑touch fleet upgrades.
• Harden devices for security: filesystem permissions, sandboxing (e.g., AppArmor/SELinux), secure boot/TPM, key management, CVE tracking, and update policies.
• Deliver robust connectivity: Ethernet/Wi‑Fi/Cellular (LTE), BLE gateway roles, MQTT/HTTPS, VPN/WireGuard; optimize reliability, roaming, and reconnection logic.
• Instrument and debug in the field: journald, core dumps, remote shell, metrics/health checks; trace with strace/perf/tcpdump and diagnose with Wireshark.
• Collaborate across disciplines: work with HW, manufacturing, QA, backend, and product to define requirements, provisioning flows, and factory test automation.
• Raise the bar on quality: CI/CD for cross‑compilation, unit/integration tests, static analysis, reproducible builds, and fleet-safe release practices.

What you bring

• 3–5 years of Embedded Linux experience shipping devices to production at scale.

• Strong proficiency in object-oriented programming (OOP) principles and multi-threading experience, with hands-on skills in C/C++/GO/Rust/Similar in user space (some kernel familiarity) and scripting (Bash, Python); expertise with build systems (CMake/Make, BitBake).
• Hands-on with Buildroot or Yocto Project (preferably Buildroot), including custom layers, recipes, and SDKs.
• Solid understanding of Linux kernel basics, device trees, drivers/BSP integration, bootloaders (U‑Boot), and systemd service design.
• Networking fundamentals: TCP/IP, DHCP/DNS, TLS, MQTT/HTTPS, VPN; experience with Wi‑Fi/cellular modules and AT command stacks is a plus.
• Proven experience with OTA frameworks, partitioning strategies, and rollback-safe update flows.
• Git fluency and experience with CI (GitHub Actions, GitLab CI or similar) for cross builds and test automation.
• BSc in EE/CE/CS (or equivalent practical experience).

Nice to have

• Device security: secure boot, TPM, disk encryption, SBOM/CVE remediation workflows.
• Real-time and performance: PREEMPT_RT, scheduling, latency tuning, power management.
• Edge packaging: containers (Docker/Podman) on ARM, OCI/CRUN, rootless strategies.
• Cloud & IoT: AWS IoT/Azure IoT, device identity/provisioning, fleet management tooling.
• Language breadth: Go or Rust for system services; protobuf/gRPC.
• Manufacturing flows: factory provisioning, E2E traceability, and end-of-line testing.

Perks

• Stock options
• Paid parental leave
• Flex PTO
   

We are looking for a highly motivated Senior Software and Algorithm Engineer to join our team!

As a Senior Software and Algorithm Engineer you will help us with implementing innovative bioinformatics algorithms and extracting more insights from the data our product generates.

How You’ll Contribute

• Participate in the architecture and software design of bioinformatics solutions
• Implement bioinformatic algorithms in an efficient, reusable and manageable C/C++ code
• Learn in-depth the required algorithms, analyze their complexity and find/invent ways to implement them in the most efficient way possible
• Work on existing and on new pipeline infrastructures, both on-prem and at cloud environments
• Manage performance tuning, integrations, testing and bug fixing

Qualifications, Skills, Knowledge & Abilities

• BS degree in Electrical Engineering, Software Engineering, Computer Science or equivalent
• MS degree or other advanced studies in above fields is a plus
• 5+ years of experience working as a senior software engineer
• 5+ years of experience working with C/C++
• Experience in implementing analytical algorithms in C/C++, similar language or lower-level code.
• Experience with bioinformatics algorithms is a plus
• Familiarity with other programing languages: Python, Java, R, Rust
• Familiarity with public cloud environments (AWS, GCP, Azure), Containers (docker) and Orchestrators (K8S)
• Knowledge of workflow management systems (e.g., Prefect, Airflow, Luigi)
• Familiarity with pipeline languages such as WDL, Nextflow or Snakemake is a plus#L

#LI-Hybrid