distributed systems engineer

Dizzaract FZ LLC

01. ABOUT THE COMPANYDizzaract is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana 2.0, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not their origin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.02. ABOUT THE ROLEFAR Labs is building FAR AI, a distributed inference network that turns idle GPU capacity into usable compute for developers, businesses, and AI products. Around this infrastructure, we build a wider ecosystem of products, payment tools, developer platforms, and internal systems that help prove and grow the network through real usage.We&rsquo;re looking for an AI Inference Infrastructure Engineer to build the core engine powering this system &mdash; from low-level runtime to distributed orchestration. This is a deeply technical role focused on performance, efficiency, and control over hardware.You will be working close to the metal, designing systems that operate at the limits of modern compute.03. WHO YOU ARE<ul><li>Systems Engineer: You have deep experience in systems programming and care about performance at every layer.</li><li>Performance Optimiser: You understand how to extract maximum efficiency from hardware &mdash; not just make things work.</li><li>Infrastructure Builder: You&rsquo;ve built or contributed to distributed systems where latency and throughput matter.</li><li>Low-Level Thinker: You&rsquo;re comfortable working close to hardware &mdash; memory, kernels, execution pipelines.</li><li>Pragmatic Engineer: You avoid unnecessary abstractions and focus on what actually improves performance.</li></ul>04. RESPONSIBILITIES<ul><li>Core Engine Development: Design and implement low-level runtime systems (Rust/C) to manage model execution, memory allocation, and request batching across distributed compute.</li><li>Hardware-Aware Optimisation: Develop and optimise tensor operations and custom kernels (CUDA, Triton) to maximise hardware utilisation.</li><li>Inference Performance: Implement advanced inference techniques such as continuous batching, speculative decoding, and paged attention &mdash; tailored to our architecture.</li><li>Decentralised Orchestration: Design routing and load balancing systems across geographically distributed nodes to ensure availability and efficiency.</li><li>Autonomous Infrastructure: Build fully automated deployment and recovery systems &mdash; ensuring zero manual intervention and self-healing network behaviour.</li></ul>05. REQUIREMENTS<ul><li>Strong experience in systems programming (Go, Rust, or C/C++).</li><li>Proven experience working with performance-critical systems.</li><li>Deep understanding of GPU programming (CUDA, ROCm) and hardware-level optimisation.</li><li>Strong knowledge of deep learning architectures (Transformers, Mamba) and tensor execution.</li><li>Experience building distributed systems with high concurrency and low latency.</li><li>Ability to work close to the hardware and optimise execution pipelines.</li><li>Strong problem-solving skills and attention to performance bottlenecks.</li></ul>06. WHAT WE OFFER<ul><li>Real ownership and direct impact on a global AI infrastructure product</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team</li><li>Exposure to cutting-edge AI, distributed systems, and hardware-level optimisation</li><li>Competitive salary with performance-based incentives</li><li>24 days annual leave, plus public holidays</li><li>Health insurance</li><li>Modern office in Yas Creative Hub</li><li>Continuous learning through real-world problem solving &mdash; not just theory</li><li>The opportunity to shape what you&rsquo;re working on and influence product direction</li><li>A diverse, open-minded team where ideas are genuinely heard</li></ul>Work Location: In person

AI Inference Infrastructure Engineer

Oracle

<div>The Compute Scaled Manufacturing organization's mission is to meet surging GPU demand for Oracle&rsquo;s AI infrastructure by scaling the server qualification process to lift throughput and raise yields across all sites and products. We will standardize how we qualify new SKUs and suppliers, accelerate ramps, and ensure end‑to‑end lifecycle traceability and accountability. Success means faster time‑to‑production, predictable quality at scale, and a repeatable model to bring new products and factories online with minimal disruption. 
About You
<ul><li>You work backward, starting from the user. You care about creating usable, useful software that solves real problems and brings delight to users.
</li><li>You have solid communication skills. You can clearly explain complex technical concepts.
</li><li>You work well with non-engineers. You can lead a conversation in a room with designers, engineers, and product managers.
</li><li>You are comfortable with ambiguity. You have a strong sense of ownership and can drive the development of new projects and features to completion.
</li><li>You are comfortable working at all levels of the stack.</li></ul></div>
 <div>As a Principal Software Engineer, you will lead the software design and development for major components of Oracle&rsquo;s Cloud Infrastructure. You should be both a rock-solid coder and a lead-level engineer, able to dive deep into any part of the stack and low-level systems, as well as design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. 
Qualifications:
<ul><li>8+ years of software engineering experience.
</li><li>Proficient in Java, C, C++, C#, or similar OO languages.
</li><li>Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals.
</li><li>Strong troubleshooting and performance tuning skills.
</li><li>Experience with REST API and service-oriented development
</li>BS or MS degree in Computer Science or equivalent experience. 
<li>
</li></ul>Preferred Qualifications:
<ul><li>Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals. Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures.
</li><li>Building software solutions in an engineering environment using C, C++, Python, Java, Shell Scripting, and JavaScript.
</li><li>Object-oriented design and object-oriented programming.
</li><li>Agile or Scrum methodologies.
</li><li>Knowledge of Internet protocols and standards, including SMTP, REST, SSL, and HTTP
</li><li>Microservices, distributed systems.
</li><li>Containerized applications, Docker, Kubernetes, or similar applications.
</li><li>Strong troubleshooting and performance tuning skills.
</li><li>RESTful API design.
</li><li>Experience delivering and operating large-scale, highly available distributed systems.
</li><li>Experience building multi-tenant, virtualized infrastructure is a strong plus.</li></ul></div>

Principal Software Engineer

Snowflake

<div><div>At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake is a high-growth, cloud-native data platform company committed to empowering enterprises to achieve their full potential. With a culture built on impact, innovation, and collaboration, we offer an environment where you can build large-scale systems, move fast, and take your technology career to the next level.
We are seeking an outstanding Staff Software Engineer with a passion for large scale databases and distributed systems to help us take the FDB platform to the next level. A massive new market opportunity is being created at the intersection of Cloud and Data, and the Snowflake Data Cloud is leading the way, all powered by the database engine we are building from the ground up.
Key to Snowflake&rsquo;s Database Engine is our large scale distributed transactional Key-Value store - called FDB - which powers all of Snowflake&rsquo;s products and services and is rapidly evolving to meet Snowflake&rsquo;s future needs.
FDB runs on multiple cloud providers including Amazon Web Services, Microsoft Azure and Google Cloud. The elastic infrastructure FDB runs on is being built from the ground up and is envisioned to be a cloud agnostic, fully automated manageability platform that provides:<ul><li>
Autoscaling and auto-balancing of clusters based on utilization, traffic and workloads</li><li>
Auto-provisioning of new clusters with zero manual intervention</li><li>
Self-healing capabilities that prevent, mitigate and resolve any production impact</li><li>
Built-in configuration management that guarantees FDB runs correctly and on the intended topologies</li><li>
Self-optimizing COGS efficiency, ensuring we run our clusters at optimal utilization</li></ul>
AS A STAFF SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL:<ul><li>
Design and implement scalable distributed system solutions for our cloud agnostic platform.</li><li>
Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them.</li><li>
Own the end to end delivery of your projects, from identifying a solution, to design, implementation, test and safe production rollout</li><li>
Understand trade-offs between consistency, durability and costs to build solutions which can meet the demands of rapidly growing services.</li><li>
Build the next generation transaction system, caching, storage engine and multi tenant capabilities</li><li>
Evangelize best practices in database usage and end-to-end architecture.</li><li>
Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions.</li></ul>
OUR IDEAL STAFF SOFTWARE ENGINEER WILL HAVE:<ul><li>
8+ years industry experience designing, building and supporting large scale infrastructure in production.</li><li>
Experience designing, building, and operating large-scale distributed systems infrastructure supporting stateful services</li><li>
Experience in container orchestration, cluster management, or autoscaling.</li><li>
Excellent understanding of operating systems concepts including multi-threading, memory management, networking and storage, performance and scale.</li><li>
Systems programming skills including multi-threading, concurrency, etc. Fluency in Java</li><li>
Solid understanding of the internals of Kubernetes, Mesos, OpenShift, or other container platforms</li><li>
Experience with scalable Key-Value stores such as FoundationDB, RocksDB/LevelDB, DynamoDB, Redis, etc. a plus.</li><li>
Track record of delivering highly complex projects in the distributed systems space</li><li>
Intense curiosity, willingness to question and passion for making systems better</li><li>
Experience with one or more of the following highly desired:<ul><li>
Big Data storage technologies and their applications (HDFS, Cassandra, Columnar Databases, etc.)</li><li>
Scalable Key-Value stores such as FoundationDB, RocksDB/LevelDB, DynamoDB, Redis, Cassandra, etc.</li></ul></li><li>
BS in Computer Science; Masters or PhD Preferred.</li></ul>
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:<ul><li>
The estimated base salary range for this role is $236,000 - $339,250.</li><li>
Additionally, this role is eligible to participate in Snowflake&rsquo;s bonus and equity plan.</li></ul>
The successful candidate&rsquo;s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending &amp; health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.</div></div>

Staff Software Engineer - FDB Platform

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 
 Software Engineer &ndash; Services
 
 
 
 
 
 About The Team
 
 
 
 eBay&rsquo;s Search Experiences team builds and operates the critical backend systems that power the search experience for millions of users worldwide. We develop high-performance, low-latency services that ensure buyers can discover the right items quickly and reliably. Our team values collaboration, curiosity, technical craftsmanship, and continuous learning as we evolve eBay&rsquo;s next-generation agentic and search platform.
 
 
 
 About The Role
 
 
 
 We are looking for a motivated Software Engineer with strong backend engineering fundamentals and an eagerness to grow in large-scale distributed systems. In this role, you will help build and enhance scalable, resilient services that support eBay&rsquo;s core search capabilities. You will work closely with experienced engineers across the team, contribute to feature development, improve service quality, and learn how to operate systems at global scale.
 
 
 This is a great opportunity for an engineer who is excited about building backend systems, solving meaningful technical problems, and growing their skills in search infrastructure.
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 <ul>
 <li>
 Chip in to the design and development of backend services used by eBay&rsquo;s agentic/search platform.
 </li>
 <li>
 Implement features, enhancements, and fixes with guidance from senior engineers.
 </li>
 <li>
 Write high-quality, maintainable code with appropriate test coverage (unit, integration, functional).
 </li>
 <li>
 Collaborate with product managers and other engineering teams to clarify requirements and deliver high-quality solutions.
 </li>
 <li>
 Assist with service reliability efforts, including debugging issues, improving monitoring, and participating in operational reviews.
 </li>
 <li>
 Participate in code reviews&mdash;both giving and receiving constructive feedback.
 </li>
 <li>
 Stay up to date with backend and distributed systems technologies, applying new learnings where appropriate.
 
 
 
 </li>
 </ul>
 
 
 What You Bring
 
 
 
 
 You may qualify with a combination of the following skills and experiences
 
 :
 
 
 
 
 Core Qualifications
 
 
 
 <ul>
 <li>
 Strong foundation in computer science fundamentals (data structures, algorithms, software design).
 </li>
 <li>
 Experience with at least one backend programming language such as Kotlin, Java, Python, or similar.
 </li>
 <li>
 Understanding of GraphQL protocol, REST APIs, microservices, or distributed system concepts.
 </li>
 <li>
 Familiarity with modern development practices&mdash;CI/CD, testing, logging, monitoring, version control.
 </li>
 <li>
 Ability to collaborate effectively, ask good questions, and learn quickly.
 </li>
 <li>
 Strong problem-solving skills and attention to detail.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications (Nice-to-have, Not Required)
 
 
 
 <ul>
 <li>
 Experience building or maintaining backend systems in a production environment.
 </li>
 <li>
 Exposure to search technologies (Elasticsearch, Lucene) or information retrieval concepts.
 </li>
 <li>
 Experience with cloud infrastructure, containers, or orchestration tools.
 </li>
 <li>
 Previous experience related to distributed systems or large-scale services.
 
 
 
 </li>
 </ul>
 
 
 Education
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
 
 
 
 </li>
 </ul>
 
 
 Why Join Us
 
 
 
 
 <ul>
 <li>
 Impact at Scale: Build technology that powers one of the world&rsquo;s largest e-commerce search platforms.
 </li>
 <li>
 Growth &amp; Learning: Work alongside experienced engineers and gain real-world distributed systems and search expertise.
 </li>
 <li>
 Innovative Culture: Join a collaborative, supportive team that encourages experimentation and continuous improvement.
 </li>
 <li>
 Modern Technology: Work with high-scale systems and innovative backend technologies.
 </li>
 <li>
 Inclusive Environment: Thrive in a diverse, people-first culture focused on employee growth and empowerment.
 
 
 
 </li>
 </ul>
 
 Additional Details
 
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.
</div>

Software Engineer - Services

Theori

<div>We&rsquo;re looking for an experienced backend engineer to help build and scale the next generation of AI-driven cybersecurity platforms at Theori. You&rsquo;ll play a key role in architecting and implementing core backend systems that power Xint, our autonomous penetration testing framework.<div></div> 
This is a foundational role in our NA engineering team&mdash;ideal for someone who thrives on solving complex systems challenges, enjoys designing for scale and reliability, and wants to help define engineering excellence in a fast-growing, AI-first company.<div> 
</div><h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Architect, develop, and maintain backend services and APIs that power Theori&rsquo;s AI security platforms.</li><li>
Design for performance, scalability, and fault-tolerance across distributed systems.</li><li>
Collaborate with product and frontend engineers to define and deliver secure, well-structured APIs.</li><li>
Build and optimize data pipelines supporting LLM agent workflows and real-time scanning.</li><li>
Establish backend best practices, coding standards, and CI/CD processes for a growing US team.</li><li>
Write clean, well-tested, and maintainable code in Python and related technologies.</li><li>
Mentor junior engineers and contribute to a strong, collaborative engineering culture.</li></ul><div> 
</div><h3 class="jobSectionHeader">
Requirements</h3><ul><li>
5+ years of professional software engineering experience building production systems.</li><li>
Strong proficiency in Python, with proven experience developing reliable backend services (FastAPI preferred).</li><li>
Solid understanding of system design, distributed architectures, and performance optimization.</li><li>
Experience with Redis, PostgreSQL, and Docker-based environments.</li><li>
Familiarity with AI/LLM-driven workflows or asynchronous, event-based architectures.</li><li>
Comfort working in an early-stage environment with evolving requirements.</li><li>
Self-directed, ownership-oriented, and comfortable driving projects from design to deployment.</li><li>
Based in US or Canada.</li></ul><div> 
</div><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience with Rust.</li><li>
Background in cybersecurity, application security, or vulnerability analysis.</li><li>
Knowledge of message queues, task orchestration, or microservices.</li><li>
Familiarity with LLM integration, RAG pipelines, or vector databases.</li><li>
Prior experience in startups or B2B SaaS environments.</li><li>
Previous involvement in building or scaling distributed systems or engineering teams.</li></ul><div> 
</div><h3 class="jobSectionHeader">
What We Offer</h3>
Compensation &amp; Benefits<ul><li>
Competitive salary + equity</li><li>
Health, dental, and vision insurance</li><li>
Generous PTO policy</li><li>
Remote work</li><li>
Laptop + home office stipend</li></ul>
Engineering Culture<ul><li>
Ship features that matter</li><li>
Modern Python-based stack (FastAPI, Redis, PostgreSQL, Docker)</li><li>
Strong focus on testing and quality</li><li>
Clear documentation and processes</li><li>
Collaborative, low-ego team</li><li>
Career growth and mentorship</li></ul>
Work-Life Balance<ul><li>
Flexible hours, remote-first culture</li><li>
Focus on outcomes, not hours</li></ul></div>

Backend Software Engineer

<div>
 Position Description
 
 
 We're looking for a Software Engineer with experience in workflow orchestration and backend development to join our engineering team. This role is ideal for engineers who enjoy building scalable distributed systems while designing and implementing complex business workflows using Camunda and Spring Boot microservices.
 
 
 You'll work across the full software lifecycle - from modelling and orchestrating business processes, to building resilient microservices and operating reliable, secure backend platforms in on-premise enterprise environments.
 
 
 Your future duties and responsibilities
 
 
 <ul>
 <li>
 Design and develop workflow-driven backend systems using Camunda BPM and Spring Boot microservices
 </li>
 <li>
 Build and maintain scalable RESTful and event-driven services that integrate into larger distributed platforms
 </li>
 <li>
 Model, implement, and optimise business processes and orchestration flows using BPMN
 </li>
 <li>
 Write clean, maintainable, and well-tested production code using modern engineering practices
 </li>
 <li>
 Own services end-to-end, including deployment, monitoring, support, and operational health
 </li>
 <li>
 Build and improve CI/CD pipelines and automated delivery workflows
 </li>
 <li>
 Collaborate closely with platform, frontend, DevOps, and security teams to deliver integrated solutions
 </li>
 <li>
 Contribute to architecture discussions around orchestration, scalability, resiliency, and performance
 </li>
 <li>
 Troubleshoot production workflow and integration issues while continuously improving reliability and observability
 
 
 </li>
 </ul>
 
 Required Qualifications To Be Successful In This Role
 
 
 
 <ul>
 <li>
 Strong experience as a backend software engineer
 </li>
 <li>
 Hands-on experience building Spring Boot microservices in production environments
 </li>
 <li>
 Experience designing and building RESTful APIs and asynchronous/event-driven integrations
 </li>
 <li>
 Proficiency in Java and modern backend development practices
 </li>
 <li>
 Strong understanding of distributed systems, microservice patterns, and service-to-service communication
 </li>
 <li>
 Experience with containerised environments and orchestration platforms (Docker, Kubernetes, OpenShift, etc.)
 
 
 </li>
 </ul>
 Security Clearance
 
 
 <ul>
 <li>
 Candidates must be willing and able to work onsite at the client location five days per week. Hybrid or remote working arrangements are not available for this role.
 </li>
 <li>
 Candidates must hold current HLC clearance, or be eligible and willing to obtain and maintain HLC clearance, subject to client requirements.
 </li>
 <li>
 Previous experience working within secure, government, defence, or highly regulated environments will be highly regarded.
 </li>
 <li>
 Due to client security requirements, only candidates who meet the applicable clearance criteria will be considered.
 
 
 </li>
 </ul>
 
 Together, as owners, let&rsquo;s turn meaningful insights into action.
 
 
 
 Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip;
 
 
 You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction.
 
 
 Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
 
 
 You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
 Come join our team&mdash;one of the largest IT and business consulting services firms in the world.
 
 
</div>

Software Engineer

Waymo

<div>
 Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
 
 
 The ML Ops team, part of Waymo ML Platform team, builds tools and infrastructure to realize the ML flywheel at Waymo. This includes building automation and orchestration solutions to make complex ML workflows manageable and reliable. This team also partners closely with the modeling team to realize solutions to speed up developer velocity.
 
 
 We're looking for a software engineer to join the team to build and maintain the critical data and ML pipelines that powers ML development at Waymo.
 
 
 
 In this hybrid role, you will report to a Technical Lead Manager, Staff Software Engineer.
 
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Analyze and report on ML resource (compute, storage, accelerators) usage, costs, and efficiency trends across different teams and projects.
 </li>
 <li>
 Develop, maintain, and improve dashboards and tools for monitoring key resource metrics and providing actionable insights.
 </li>
 <li>
 Identify and investigate opportunities for resource optimization, cost reduction, and performance improvements in ML workflows.
 </li>
 <li>
 Support and guide ML engineers and researchers on best practices for resource utilization
 </li>
 <li>
 Contribute to the development, documentation, and enforcement of resource management policies and best practices.
 
 
 </li>
 </ul>
 
 You Have
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or related field, and 2+ years equivalent experience
 </li>
 <li>
 Experience with distributed systems principles and experience building distributed systems for production environments.
 </li>
 <li>
 Solid Python or C++ skills
 </li>
 <li>
 Experience monitoring, debugging, and troubleshooting complex distributed systems
 </li>
 <li>
 Experience communicating updates and resolutions to customers and other partners
 
 
 </li>
 </ul>
 
 We Prefer
 
 
 
 <ul>
 <li>
 Experience with compute and storage management for medium to large organizations
 
 
 </li>
 </ul>
 The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
 
 
 Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
 
 
 Salary Range
 
 
 $170,000&mdash;$216,000 USD
 
 
</div>

Machine Learning Engineer, ML Resources

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