About the Role

At SharkNinja, we create intelligent, connected products that delight consumers and disrupt categories. We're growing our engineering teams across Firmware, Cloud, and Mobile App development. We are building systems that integrate hardware, software, and digital experiences using AI-driven processes to help accelerate design, coding, and testing.

Come help design and deliver the next generation of SharkNinja products from mobile applications that connect consumers to their devices, full-stack architectures that enable seamless experiences, and cross-platform solutions that bring intelligence directly to users' fingertips. You'll contribute to our existing SharkClean app platform while helping shape the future of a unified app ecosystem spanning all connected devices for SharkNinja. Together, we're making our products feel smarter every day they're in the home.

What You'll Do

• Build cross-platform solutions using React Native to accelerate feature delivery across iOS and Android.

  • Collaborate with embedded, cloud, and hardware teams to deliver end-to-end connected product experiences.

  • Design and implement full-stack system architectures that integrate mobile apps with cloud services and connected devices.

  • Write, execute, and automate tests to ensure reliability, performance, and consumer-ready quality.

  • Debug and optimize mobile app performance for consumer-scale deployment across diverse device ecosystems.

  • Work closely with cross-functional development teams spanning the entire software stack from embedded to cloud.

What You'll Bring

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Strong experience in React Native development for iOS and Android development with deep understanding of Typescript.
• Proficiency with modern mobile development tools: VSCode, Xcode, Android Studio, Git, Gradle, CocoaPods, Swift Package Manager, etc.
• Experience working with cross-functional development teams across the software stack.
• Understanding of full-stack system architecture and mobile-to-cloud integration patterns.
• A passion for creating consumer-friendly, connected product experiences.
• Curiosity, adaptability, and a drive to be part of an A-Player engineering team.

Preferred Qualifications

• Rust for cross-platform modules, React Navigation, React Query state management, Protobuf APIs, Xcode/Android Studio build systems
• Prior work with connected devices, IoT ecosystems, or device-to-app connectivity.
• Knowledge of BLE (Bluetooth Low Energy) and WiFi connectivity protocols.
• Experience with Rust, C/C++, or other systems programming languages. Learn
• Background in robotics, consumer electronics, or smart home products.

New data center development:

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.

The role 

We’re looking for an IT Infrastructure Engineer to support IT operations in multiple datacenters around the world. This is a position for a datacenter hardware expert working at the intersection of multiple technical domains

You’re welcome to work in our office in London, England. 

Your responsibilities will include: 

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

• Take charge of hardware problem management and develop new solutions

•  Act as a subject matter expert and point of escalation for team members

•  Collaborate with R&D to improve our hardware designs

• Create new processes and documentation for IT hardware team

• Improve support processes and training materials

• Travel to datacenters to participate in large scale hardware projects and collaborative events

We expect you to have: 

• Knowledge of datacenters, server and network equipment

• Deep knowledge of IT hardware and practical experience of troubleshooting

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

• Advanced network troubleshooting skills

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be an added bonus if you have: 

• Technical certifications in relevant areas

• Skills in design and repairing electronic equipment

• Driving license type B

Bristol or London, 3 days in the office, 2 days WFH

At Fractile, we’re building what we believe will be the world’s fastest AI inference chip from the ground up. We’re balanced across hardware and software engineering, and HW/SW co-design is real here. We move fast, and we help each other move fast. We care about each other, the software we ship, and the people who rely on it.

To validate behaviour, our functional simulator allows us to iterate at scale with real software before the hardware exists. It runs across multiple machines, supports large experiments, and helps verify the correctness of our low level firmware, runtime stack and compiler lowering.

You’ll be there for the first end-to-end runs against realistic device behaviour, the debugging sessions that unblock whole teams, and the moments where simulator fidelity turns into better software, better silicon decisions, and faster bring-up.

What you’ll do

• Build a functional simulator of Fractile’s AI accelerator hardware including a custom ISA
• Implement the device models and behaviours that matter for software correctness: MMIO, interrupts, DMA, memory behaviour, concurrency, and error paths
• Work closely with runtime, kernel, firmware and HW engineers to shape simulator interfaces
• Make it usable at scale: tracing, determinism/reproducibility, CI integration, and containerised workflows
• Collaborate daily with hardware, software, and ML engineers to validate assumptions and close gaps early

What we’re looking for

• Strong C and comfort working in large low-level codebases
• Good intuition and knowledge of low-level hardware behaviour: registers/MMIO, interrupts, memory ordering, concurrency, and failure modes
• You enjoy hard system-level problems, and you take them end-to-end until the results are measurable
• Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience

Nice to have

• You’ve built or extended hardware simulators or emulators.
• SystemC experience
• QEMU device model experience is ideal, even better in the TCG
• Docker and orchestration tooling (Kubernetes)
• Familiarity with RISC-V and x86 architectures
• Python experience useful

If you want to build the simulator that makes rack-scale software real before rack-scale hardware exists, come build it together.

About Us:
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Role Overview:
We are looking for an exceptional Senior FPGA Engineer to join our semi-systematic equities team. In this role, you will architect and deliver ultra-low-latency FPGA trading systems that drive our competitive edge across global equity and futures exchanges. This position offers the opportunity to lead, innovate, and push the limits of hardware performance in a fast-paced trading environment.

Key Responsibilities:

Technical Leadership

• Lead and mentor a team of FPGA engineers developing next-generation hardware solutions for market making.
• Architect and implement ultra-low-latency trading systems optimized for global equity and futures markets.
• Define and execute the technical vision and roadmap for FPGA-based trading infrastructure.
• Partner closely with quantitative researchers, software developers, and network engineers to deliver integrated, high-performance trading platforms.

System Development

• Design and implement high-throughput FPGA firmware for market data feed handling and order execution.
• Build modular, reusable, and scalable FPGA architectures supporting exchanges such as NYSE, NASDAQ and CBOE.
• Develop robust testing frameworks and automated deployment pipelines to ensure stability and reliability in production.

Required Qualifications:

• 5+ years of hands-on FPGA design and development experience, ideally within high-frequency or market-making systems.
• Expert-level proficiency in SystemVerilog targeting Xilinx platforms.
• Deep understanding of networking and low-level protocols (10G Ethernet, multicast, MAC/PCS layers).
• Proven track record in ultra-low-latency hardware design and performance optimization.

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

About the role

Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major CSPs and our own datacenters, stand up and scale clusters from thousands to hundreds of thousands of hosts, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic’s frontier AI research.

Key responsibilities

• Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair
• Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families
• Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity
• Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others
• Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy
• Establish and evolve operational excellence practices (incident response, postmortem culture, on-call)
• Support the growth of engineers around you through technical mentorship and coaching

Minimum qualifications

• Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
• Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
• Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium)
• Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems
• Ability to build alignment across senior stakeholders and communicate effectively at all levels

Preferred qualifications

• 8+ years of software engineering experience, including time as a technical lead setting direction for a team
• Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency
• Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines
• Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons
• Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads.
• Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems
• Contributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.)
• Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems

Who we are

The role

The day-to-day

• Own the end-to-end hardware design of UAV systems, from early-stage prototyping through to flight-ready builds
  
  
• Integrate mechanical, electronic, and sensor subsystems into cohesive, manufacturable drone architectures
  
  
• Develop and iterate physical prototypes rapidly, balancing performance, weight, and durability constraints
  
  
• Define and execute hardware validation and flight-readiness testing, including bench, integration, and field trials
  
  
• Collaborate closely with software, firmware, and avionics teams to ensure seamless hardware/software integration
  
  
• Produce clear design documentation, schematics, and BOMs in accordance with company quality standards
  
  
• Evaluate and select COTS components, working with suppliers to meet technical and programme requirements

You should apply if you

• Have hands-on experience designing and building UAV or similar complex autonomous hardware systems
  
  
• Are comfortable working across both mechanical and electronic domains — from airframe structures to PCB layout and power systems
  
  
• Have a strong prototyping mindset, with experience taking hardware from concept to flying article at pace
  
  
• Are proficient with CAD tools (e.g. SolidWorks, Siemens NX) and comfortable with electronics design tools (e.g. Altium)
  
  
• Have experience defining and running hardware validation and test campaigns
  
  
• Thrive in fast-moving environments where iteration speed and engineering judgement matter equally
  
  
• Exhibit excellent written and verbal communication skills in English

Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

• Competitive salary and VSOP options

• Relocation support: up to €2,500 and 4 weeks temporary accommodation

• Learning: €500/£450 yearly allowance

• Health & wellness: gym membership and mental health support (Nilo.health)

• Social: regular company events and monthly social allowances

• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers

• Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Please note that this is a 24/7/365 team. You will be asked to select and rank your preferred shift(s) below.

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the Role

As a Bare Metal Support Engineer, you will be responsible for supporting, operating, and maintaining CoreWeave’s extensive GPU fleet across our growing data centers in the U.S., Europe, and beyond. You will work closely with customers, data center technicians, and engineering teams to ensure the reliability, performance, and scalability of our infrastructure. 

In this role, you will: 

• Provide high-level support for customers utilizing bare-metal GPU fleets on CoreWeave Cloud.
  
  
• Diagnose, triage, and investigate reported customer issues and high-priority incidents, identifying root causes and escalating when necessary.
  
  
• Develop a deep understanding of customer workloads and use cases to provide tailored technical support.
  
  
• Coordinate remote troubleshooting and hardware interventions with Data Center Technicians.
  
  
• Create and maintain internal documentation, including troubleshooting guides, best practices, and knowledge base articles.
  
  
• Participate in an on-call rotation to support production clusters and ensure operational reliability.
  
  
• Collaborate with engineering teams to improve hardware reliability, software stability, and system performance.
  
  
• Implement automation and scripting to streamline support workflows and reduce manual interventions.
  
  
• Perform in-depth log analysis and debugging across multiple layers of the stack (firmware, drivers, hardware).
  
  
• Provide feedback to internal teams on common support issues to drive continuous improvements.
  
  
• Work with networking teams to troubleshoot connectivity issues affecting customer workloads.
  
  
• Support supercomputing infrastructure running GPU workloads at scale.
  
  
• Drive operational excellence by refining internal processes and support methodologies.
  
  

Who You Are:

• Experience in data centers, GPU clusters, server deployments, system administration, or hardware troubleshooting.
  
  
• Demonstrated experience driving resolutions and continuous improvements across cross-functional environments and teams within a data center environment.
  
  
• Intermediate knowledge of Linux (Ubuntu, CentOS, or similar), including command-line proficiency.
  
  
• Experience with NVIDIA GPUs, SuperMicro systems, Dell systems, high-performance computing (HPC), and large-scale data center environments.
  
  
• Experience in networking fundamentals (TCP/IP, VLANs, DNS, DHCP) and troubleshooting tools.
  
  
• Hands-on experience with firmware updates, BIOS configurations, and driver management.
  
  
• Experience analyzing system logs and debugging issues across firmware, drivers, and hardware layers.
  
  
• Experience working with Jira, Confluence, Notion, or other issue-tracking and documentation platforms.
  
  
• Experience in scripting and automation (Python, Bash, Ansible, or similar).
  
  

Wondering if you’re a good fit? We believe in investing in our people and value candidates who bring unique backgrounds—even if you don’t check every box. Here are a few qualities we’ve found make someone successful on our team. If some of this describes you, we’d love to talk.

• You’re curious about Kubernetes, Docker, and containerized infrastructure
  
  
• You have strong problem-solving skills with a proactive and analytical mindset.
  
  
• You have excellent communication skills and a demonstrated ability to work collaboratively in a fast-paced environment.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
  
  
• Act Like an Owner
  
  
• Empower Employees
  
  
• Deliver Best-in-Class Client Experiences
  
  
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is 41,000 GBP to 55,000 GBP. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

About the role:

Samsara is seeking an experienced Engineering Manager to join our growing Developer Experience organization. In this role, you will lead the Operational Excellence and Release Management teams, responsible for building and scaling the core tooling that powers Samsara’s Connected Operations Cloud.

This work sits on the critical path of both product velocity and customer experience. Every Samsara customer depends on the reliability, performance, and safety of our platform, and every engineer and product manager relies on your teams’ systems to build, deploy, and operate services with confidence.

Your team will define and deliver the visibility, metrics, and control planes that enable engineering teams to understand service health, detect issues early, and continuously improve reliability. You will also own the release infrastructure and workflows that ensure features are shipped safely, predictably, and at scale.

We lean heavily into automation and actively champion AI-native development. You will drive the adoption of intelligent tooling and autonomous workflows that reduce manual effort, accelerate iteration, and improve system resilience—embedding AI into how engineers build, test, release, and operate software across the company.

As Samsara’s infrastructure and product surface area continue to grow, you will drive the standardization of tools, frameworks, and best practices across the company—raising the bar for operational excellence and ensuring a consistent, high-quality experience for both our customers and internal builders.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

Click here to learn about what we value at Samsara. 

In this role, you will:

• Leading the engineering team, shaping engineering culture, and providing technical guidance
• Building infrastructure to ensure reliability of Samsara’s connected operations cloud under high loads 
• Developing tooling for product teams to self-service and own operation of their services and storage in responsive and cost-effective ways
• Creating abstractions for developers to understand their services health and adopt best practices to deliver the best customer experience in the industry
• Actively contributing to building the roadmap for infrastructure at Samsara
• Championing, role modeling, and embedding Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices
• Hiring, developing, and leading an inclusive, engaged, and high performing team

Our backend is written in Golang, runs on AWS, and is deployed using Terraform, though direct experience with these technologies is not required.

An ideal candidate has:

• Built or worked on critical production systems using AWS (preferred) or Azure/GCP
• Experience working with geo-distributed teams
• Deep knowledge of operating distributed systems at large scale and implementation best practices
• 8+ years of relevant software engineering work experience
• 2+ years of hands-on technical management experience
• 2+ years experience building platforms and managing multiple stakeholders

About Yondr

Yondr is a disruptor. We challenge convention and simplify complexity. A global developer, owner operator and service provider of data centers, we deliver complex data center capacity needs for the world’s largest tech companies. Our exponential growth sees us looking for extraordinary people to help accelerate us towards our vision: a tomorrow without constraints. 

But we can’t do this without you.

About the Role 

As the Operations Engineer – Mechanical, EMEA (SME), you provide mechanical technical authority across our regional data centers. You will define and drive the mechanical operations philosophy and standards, support Regional Technical Managers and site teams as an escalation point during incidents, and provide input to design and commissioning to ensure systems are operable, maintainable, and resilient throughout the asset lifecycle. The role balances safety, availability, cost, and customer/SLA requirements and partners closely with design & construction, facility management, OEMs, and contractors.

Main Responsibilities 

This position will have overall responsibility for all mechanical aspects of our regional data centers including, but not limited to, planned and corrective maintenance, technical documentation, review of proposed operational procedures, initial analysis of in-service failures, associated project work, and overall system health. The Operation Senior Engineer is responsible for the evaluation and rollout of engineering initiatives along with leading small to medium-scale projects. Interacts with internal and external teams, including design and construction management of new facilities and Yondr facility management and operations. This position coordinates with other regional operational engineering roles and is a member of the global operational engineering within Yondr.

• Provide mechanical technical subject matter expertise (SME) across the region, including cooling plant, airside systems, hydronic systems, and associated sequence of operation.
• Develop and drive the overall philosophy and standards for site mechanical SMEs, including guidance for SOPs, MOPs, and EOPs and mechanical portions of technical documentation.
• Serve as the regional mechanical technical authority during incidents, providing remote/on-site escalation support, recommending response and recovery actions, and supporting the site incident commander to restore systems safely and rapidly while managing risk and customer/SLA impacts.
• Provide specific technical input to root cause analyses (RCAs), including failure mode assessment, contributing factors, corrective/preventative actions, and assist with managing third-party experts in RCAs as needed.
• Review non-routine/high-impact maintenance and change activity (including contractor RAMS) to ensure appropriate risk controls, method, temporary configuration, and return-to-service criteria.
• Provide operational input to design, construction, and commissioning for existing and new facilities, ensuring operability, maintainability, and alignment with the mechanical operations strategy.
• Represent Yondr Operations during the commissioning activities ensuring readiness to operate and handover acceptance criteria are met for mechanical areas.
• Oversee post-delivery mechanical and controls-related technical items/changes to ensure no adverse impact to system availability or customer SLAs as tenants implement changes throughout the site lifecycle.
• Lead/enable lifecycle management for mechanical assets, including evaluation of solutions, repair/replacement strategies, and inputs to capital planning.
• Develop, review, and maintain up to date the maintenance philosophy beyond e.g. preventative maintenance strategy (pre and post warranty scope, maintenance intervals), OEM alignment, and spares philosophy/critical spares.
• Assist sites as the technical interface with OEMs and vendors for chronic issues, design defects, firmware issues/updates, sequence changes, etc.
• Review, develop (as needed), and deliver mechanical technical training to reduce reliance on external training providers and build capability within site teams.
• Coordinate with overall operational engineering team and Critical Environment Management (CEM) team to maintain a knowledge base of standard fixes, known failure modes, lessons learned, technical bulletins, and overall data center mechanical knowledge.
• Attending required meetings with key stakeholders to represent Operations in technical discussions.
• Maintain effective administration of projects and core responsibilities, including timely documentation and stakeholder updates, to ensure transparency on the mechanical scope described above.
• Maintain strong Health & Safety awareness in all operational engineering activities.
• Other tasks as assigned.

Qualifications and experience 

• Bachelor’s degree in an applicable engineering field preferred, experience would be considered in lieu of a Bachelor’s.
• 8 -10 years of relevant experience (with 5+ years of experience working in data centers and/or critical environments preferred).
• Demonstrated skills and experience in the design, maintenance, and operation of critical mechanical systems in critical environments, preferably data centers (e.g., chillers, CRAH/CRAC, cooling towers/dry coolers, pumps/valves, heat exchangers, ventilation systems, and hydronic distribution), including understanding of equipment sequences and commissioning/retro-commissioning.
• Experienced in the delivery of highly complex technical projects.
• Evidence of strong interpersonal skills is essential.
• Strong verbal and written communication skills.
• Results oriented, highly accountable, and strong organizational skills.
• Proven self-starter.
• Attention to detail and the ability to understand the big picture.
• Ability to perform through change and transformation while adapting to shifting priorities.

Skills and Experience

• Show good team leadership skills and can lead by example.
• Excellent people management skills, with the confidence to lead and motivate the team and those around you.
• Excellent interpersonal and communication skills.
• Broad experience in managing critical environments, data centres or smart buildings.
• Good problem-solving and analytical skills.
• Ability to multitask and thrive in a fast-paced regional and global business
• Good, clear and precise delegation skills
• Sensitive to political situations - good relationship builder

Person specification

• Passionate about what you do and committed to excellence – leads and holds people to account
• Detail oriented and diligent.
• Entrepreneurial by nature with a strong sense of ownership.
• Decision maker.
• Results orientated and prepared to take ownership of outcomes
• Support the success of other people and their businesses above your own success
• Role model our values
• Excellent external radar so that they pick up on trends
• Proactive, diligent, able and willing to think ahead
• Ability to understand the wider picture whilst devoting attention to detail

At Yondr, we want to enhance the diversity, equity, inclusion and belonging of our workforce to reflect the world we live in. Our roles are potential opportunities for everyone; all interested parties, regardless of nationality, race, ethnicity, religion, age, sexual orientation, or gender, are welcome to apply. We ensure all candidates have equitable access and consideration throughout the hiring process.

Yondr is committed to fostering a welcoming, safe and inclusive work environment. We provide support through our benefits, which are inclusive of all backgrounds.

About the role:

Samsara is hiring a Senior Software Engineer II to join our Operational Excellence (OPX) team within the Developer Experience organization.

DevEx is responsible for the engineering environment that a globally distributed engineering org relies on every day, from build and deploy systems to development tooling and AI-assisted workflows that help teams move quickly and confidently.

Within DevEx, the Operational Excellence (OPX) team is the group that keeps production healthy at scale.
We provide engineering teams the platform capabilities, observability tooling, automated safeguards, incident management tooling, and safe feature release systems they need to deliver highly available systems, ship features with confidence, and investigate and mitigate incidents faster.

OPX is focused on raising the bar for system stability, resilience, and reliability across Samsara -- building automated safeguards that protect production, ensuring engineers get the right signals at the right time, and giving teams the visibility they need to stay in control of their services. We're also investing in AI-driven operational tooling and partnering directly with product engineering teams to strengthen their operational posture.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

In this role, you will: 

• Design and build automated reliability and self-healing systems that protect production at scale, including automated rollbacks, deploy safeguards, and fault mitigation, and deliver them as platform tooling that engineering teams across the company adopt for their own services
• Own and improve incident management tooling and on-call health. Reduce alert noise, surface actionable signals, and empower engineering teams to operate their services confidently with minimal operational burden
• Develop and evolve our observability infrastructure, including monitoring, alerting, SLOs, and performance regression detection, to give teams real-time, actionable visibility into system health and latency
• Contribute to AI-driven operational tooling that goes beyond triage, building toward autonomous remediation where AI detects issues, takes corrective action, and self-recovers with minimal human involvement
• Drive incident prevention by identifying systemic patterns and ruthlessly eliminating operational toil. You have deep empathy for on-call engineers and a bias toward making their lives better
• Partner directly with product engineering teams to diagnose reliability gaps, reduce their operational burden, and help them adopt best practices for running their services
• Define and champion operational excellence best practices across engineering through guardrails, scorecards, and standards that help teams run their services reliably by default
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• 8+ years of experience designing and building products in a software engineering team
• Bachelor's Degree in Computer Science/Engineering or equivalent practical experience
• 3+ years of experience on infrastructure and/or platform engineering focused teams
• Expertise in Observability and reliability, operational metrics and data analysis
•  Proven track record architecting monitoring frameworks, SLO platforms, and automated response workflows Datadog (or equivalent observabilty tooling like New Relic, Grafana).
• Proven experience working on large-scale enterprise software applications
• Experience in Developer Experience (DevEx) & Internal Portals: Designing and implementing solutions/tools that centralise and simplify engineering operations.
• Familiarity with cloud platforms (AWS, GCP or the like)
• Experience in implementing AI-driven automation across the software development lifecycle (SDLC) to reduce developer friction, automate repetitive technical tasks, and accelerate time-to-delivery. Routinely applies AI tools across your workflow
• Familiarity with Experienced at writing high quality code (Go, Python or equivalent) focused on infrastructure, deployment and operations challenges
• Experience mentoring and supporting engineers and role modeling engineering practices within a technical lead capacity
• Proactive growth mindset, always looking at ways to improve the status quo

An ideal candidate also has:

• B.S. in Computer Science or related technical discipline
• Strong communication skills and desire to collaborate across teams
• Experience with incident management tooling (Incident.io PagerDuty or equivalent)
• Experienced with Infrastructure as Code (Iac) - Terraform

Job Title: Hardware Design Engineer

Reports to: Director of Hardware Engineering

Department: Engineering

💼 About the role

We’re seeking an experienced hardware design engineer to expand our cryptographic hardware IP team. You would be joining a mature design team with a proven track record of delivering market leading cryptographic IP, your role would expose you to the latest cryptographic standards and allow you to develop for the latest technologies.

We hope that you have at least 5 years of experience working on hardware design of complex IPs targeted at deployment on latest generation FPGAs, preferably with some experience working with cryptographic and security IPs.

 We have been established since 2018, so you would be directly working with the founders and inventors of this deep tech startup. The technology is already a couple of years in the making, its feasibility having been established, funding secured, and it has a clear path to market. This is a great opportunity for career progression and to get a head start in a rapidly expanding segment of the technology industry.

⚒️ What you’ll be doing

• Design and implementation of hardware IP blocks and subsystems.
• Tailoring implementations to FPGAs
• Working with verification engineers to create verification and test plans.
• Creation of reliable, reusable and excellently structured hardware design flows.
• Providing feedback to architects on feasibility of implementation and specification quality.
• Ensuring clean lint and implementation reports for IP blocks and subsystems.

🎯 Required Skills And Qualifications

• A commitment to high quality engineering in all areas of their work, including advocating for the best long-term solutions over the easiest or quickest.
• Optimising designs for both area and performance in FPGA technologies.  
• Experience building hardware IP blocks from scratch, and owning the process from initial specification through to customer delivery.
• Confidence bringing up a design using a basic “designers testbench”.
• Experience with standard commercial EDA Design tooling flows.
• Knowledge of common bus protocols (e.g. AMBA AXI4, AHB).
• Experience building and simulating hardware/software co-designs.
• Confidence in debugging RTL simulations issues.
• Degree or equivalent in Electronics/Computer Science or other related discipline.

🖥️ Specific Technologies You Are Confident Using

• FPGA and emulation experience. We use Xilinx FPGAs extensively for prototyping and hardware/firmware co-development.
• Logical IP design using SystemVerilog.
• Version control using Git.
• Writing System and subsystem level tests in C, using CMake as a build system.
• Confidence using tools like Bash, TCL, CMake and Makefiles safely and sensibly.

👍 Preferred Skills And Qualifications

• Python scripting for flows and automation 
• Experience debugging gate level simulations.
• Knowledge of Industry standard SoC Security Architectures
• Knowledge of tamper resistance and/or power side-channel security countermeasures.
• Experience using Gitlab CI, or otherwise principles of continuous integration and testing.

🏆 Some of the perks of working with us:

• Unparalleled opportunities to learn and accelerated career development.
• A collaborative, team environment with people who truly love what they do.
• Competitive salary and share option scheme.
• Flexible and hybrid working, and a working from home budget.
• Private health insurance for yourself and your family.
• 25 days annual leave (plus bank holidays and two wellness weeks).
• 50% gym membership discount.
• The chance to work with a spirited, smart, and friendly team!

Interested? Apply today to be part of the future of secure hardware! 🚀

Your Impact

We are seeking multiple highly skilled Full-Stack members of Technical Staff (MTS) to join our CoreAI organization, driving end-to-end development of AI systems across Cloud, Edge Devices, Mission Critical and Robotics platforms.

This role goes beyond pure research. You will operate across the full stack, from data, models, and infrastructure to system integration and production deployment, to deliver scalable, real-world AI solutions. You will work on cutting-edge applications spanning computer vision, NLU, multimodal AI (MLLMs), and GenAI, enabling intelligent perception, reasoning, and action in mission-critical environments.

As a senior technical leader, you will partner closely with research scientists, machine learning engineers, hardware, firmware, and product teams to translate advanced algorithms into robust, production-ready systems that operate reliably at scale.

Why This Role

You will have the opportunity to own and shape end-to-end AI systems that operate in real-world environments, bridging the gap between cutting-edge research and impactful production deployment. This role is ideal for engineers who thrive at the intersection of AI, systems, and product, and want to build scalable, high-impact solutions across cloud and edge.

What You’ll Do
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)

• EU: Finland, Belgium, UK

Responsibilities

• Own end-to-end system development across data pipelines, model development, evaluation, and deployment for AI-powered products.
• Design and build scalable, production-grade systems for real-time perception, multimodal understanding, and decision-making.
• Develop and deploy models across cloud and edge environments, including resource-constrained devices.
• Architect and optimize full-stack AI pipelines, including:
• Translate research advances in computer vision, NLU, GenAI, and multimodal LLMs into production systems.
• Collaborate cross-functionally with MLE, hardware, firmware, and product teams to integrate AI into real-world systems.
• Optimize solutions for hardware-specific acceleration (GPU, NPU, DSP) and edge deployment.
• Define and drive evaluation frameworks and metrics to ensure system performance, reliability, and safety.
• Lead technical direction for complex, ambiguous problems and influence system architecture across teams.
• Contribute to technical design docs, internal knowledge sharing, and long-term platform strategy.

Basic Qualifications

• Master’s, or PhD in Computer Science, Electrical Engineering, or related field
• 8+ years (L8) or 10+ years (L9) of industry experience building production systems
• Strong programming skills in Python/C++ and experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Proven experience delivering end-to-end systems from concept to production
• Deep expertise in one or more areas:
• Experience building and scaling distributed systems or cloud-based ML pipelines
• Experience optimizing models for latency, cost, and deployment constraints

Preferred Qualifications

• Experience deploying AI both on Cloud (AWS, AzureML), edge devices (e.g., mobile, embedded systems, robotics platforms on Qualcomm, NVIDIA, Intel)
• Familiarity with hardware acceleration frameworks (TensorRT, ONNX, SNPE, etc.)
• Experience with real-time systems and streaming data pipelines
• Knowledge of multimodal data processing (vision, audio, text, sensor fusion)
• Experience with AWS or other cloud platforms for large-scale inference and training
• Strong system design and architecture skills across cloud ↔ edge environments
• Track record of technical leadership, mentoring, and driving cross-team initiatives
• Experience in privacy-preserving AI, security, or safety-critical systems

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Location: This role is based out of our London, England office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.

About the role

Anthropic is expanding beyond cloud infrastructure, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our facility — from initial provisioning and deployment, across its working life, through maintenance and refresh, and all the way to decommissioning. This is greenfield work: you will help define the processes, tooling, and operational standards that govern how we run and retire hardware at scale.

A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI — training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling.

Key responsibilities

• Lead the build-out of automation to support datacenters containing tens of thousands of servers.
• Define and own the end-to-end server lifecycle strategy — from provisioning and deployment through operation, maintenance, refresh, and decommissioning — and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations).
• Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle.
• Work closely with our Networking team to ensure end-to-end connectivity across all sites.
• Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet.

Minimum qualifications

• Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale.
• End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices.
• Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java).
• Working knowledge of modern cloud infrastructure, including Kubernetes, Infrastructure as Code, AWS, and GCP.
• Ability to communicate clearly and build consensus with a wide range of stakeholders.
• Comfort navigating ambiguity and making progress on complex, cross-functional problems.
• Willingness to travel occasionally to datacenter sites across North America.

Preferred qualifications

• 8+ years of experience in datacenter operations, hardware infrastructure management, or a closely related discipline.
• Hands-on experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, AMD MI300, Google TPUs, or AWS Trainium) and an understanding of their operational demands.
• Familiarity with modern provisioning tooling such as coreboot, LinuxBoot, or u-root.
• Experience building or contributing to datacenter automation or fleet management platforms.
• Experience building and deploying server operating system distributions across thousands of hosts.
• Background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider.
• Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area.