Systems Phd Jobs

The MongoDB Query Execution Team is hiring software engineers who want to join us in developing a high performing, reliable and modular distributed query system. Our engineers work on implementing and maintaining execution algorithms, building new query language features, tuning database performance, and more to power our customers' critical workloads. This role can be based out of our Dublin office or remotely in Ireland. Relocation can be supported. Position Expectations Understand and improve current functionality of the MongoDB query engine Contribute high quality C++ code and give and solicit feedback in code reviews Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics for query performance problems, and integration with other products and tools Work constructively with peers to deliver excellent technical solutions Candidate Profile 5+ years of experience in systems programming Experience in databases and/or data management systems is a huge plus, but not a requirement Hands-on experience building industrial-strength software Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture Experience with large code bases, preferably in C++, C, Rust or a similar compiled language B.Sc in Computer Science or similar field, or equivalent practical experience Interest in the theory and practice of database query engines. Hands-on experience or M.Sc./Ph.D in the domain is a plus Success Measures In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series In six months, you’ll have taken on code review responsibilities and are independently delivering complex functionality and squashing bugs independently In twelve months, you’re leading the development of a new major feature and are h

About the Team Merchants Financial's mission is to serve the financial needs of the active merchants on DoorDash. Our goal is that Merchants view DoorDash as their preferred financial partner to achieve their financial goals such as faster cash flow, more capital for store expansion and/or upgrade, and new customer acquisition. About the Role DoorDash is looking for an Engineering Manager to lead the Merchant Financials engineering team. This team is responsible for the building of Mx financial products (such as loan/capital, instant pay) used by millions of merchants on DoorDash platform. As an Engineering Manager, you will partner closely with product, design, and operations partners to define the roadmap to grow our sweet of financial products, including the launch of a brand new banking app. You will manage a team of talented backend, web, and mobile engineers to build groundbreaking financial solutions and solve challenging technical problems. You're excited about this opportunity because you will… Lead and grow a team of exceptional backend and client-side engineers delivering end-to-end engineering solutions Collaborate with Product Managers, Business leaders, and key stakeholders to determine the team's roadmap and vision, and manage execution against that roadmap Provide architectural guidance and professional development for a team of 8+ Encourage innovation, teamwork, implementation of cutting-edge technologies, and outside-of-the-box thinking Oversee the hiring process for your team, in partnership with recruiting, to grow a diverse and inclusive team We're excited about you because you have… BS, M.S., or PhD. in Computer Science or related field 2+ years of experience in people management leading full-stack teams (backend, web, & mobile) of 8+ engineers 8+ years of industry experience Extensive experience as an engineer in a fast-paced, product-focused development environment Experience with distributed system design, system

Please note that the job is only available from the locations outlined. We are looking for a Senior Software Engineer to help us take REDAPL, our Referential Data Platform, to the next level. REDAPL is Datadog's main platform for tracking our customers' infrastructure resources and relationships. The platform enables products where customers can understand, keep track of, and gain insights into their infrastructure related to performance, cost, security, and more. Many Datadog products use REDAPL today such Cloud Security Posture Management, Resource Catalog, Cloud Cost Management, and Service Catalog and others - REDAPL ingests more than 4.5mil updates/second. As a Senior Engineer, you will drive, lead and collaborate on projects both inside and outside the platform. You can expect to contribute to key technical decisions relating to our data ingestion, processing, and query pipelines. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Build a query engine that supports efficient relationship traversals for our most demanding workloads. Contribute to design and drive high-priority, high-visibility projects to increase the platform's value, resilience, and scalability across multiple teams. Lead and guide other engineers through architectural platform decisions Identify potential system risks and trends in reliability and design solutions to address them Provide input on prioritizing engineering-led initiatives in short- and long-term planning and roadmaps Collaborate with internal product teams to understand their requirements and how we plan for their product growth as they integrate and depend on REDAPL Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience You

We are looking for a Senior Software Engineer to help us take REDAPL, our Referential Data Platform, to the next level. REDAPL is Datadog's main platform for tracking our customers' infrastructure resources and relationships. The platform enables products where customers can understand, keep track of, and gain insights into their infrastructure related to performance, cost, security, and more. Many Datadog products use REDAPL today such Cloud Security Posture Management, Resource Catalog, Cloud Cost Management, and Service Catalog and others - REDAPL ingests more than 4.5mil updates/second. As a Senior Engineer, you will drive, lead and collaborate on projects both inside and outside the platform. You can expect to contribute to key technical decisions relating to our data ingestion, processing, and query pipelines. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Build a query engine that supports efficient relationship traversals for our most demanding workloads. Contribute to design and drive high-priority, high-visibility projects to increase the platform's value, resilience, and scalability across multiple teams. Lead and guide other engineers through architectural platform decisions Identify potential system risks and trends in reliability and design solutions to address them Provide input on prioritizing engineering-led initiatives in short- and long-term planning and roadmaps Collaborate with internal product teams to understand their requirements and how we plan for their product growth as they integrate and depend on REDAPL Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience You have worked extensively with multiple types of data stores. You have contribute

We are looking for a Senior Software Engineer to help us take REDAPL, our Referential Data Platform, to the next level. REDAPL is Datadog's main platform for tracking our customers' infrastructure resources and relationships. The platform enables products where customers can understand, keep track of, and gain insights into their infrastructure related to performance, cost, security, and more. Many Datadog products use REDAPL today such Cloud Security Posture Management, Resource Catalog, Cloud Cost Management, and Service Catalog and others - REDAPL ingests more than 4.5mil updates/second. As a Senior Engineer, you will drive, lead and collaborate on projects both inside and outside the platform. You can expect to contribute to key technical decisions relating to our data ingestion, processing, and query pipelines. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Build a query engine that supports efficient relationship traversals for our most demanding workloads. Contribute to design and drive high-priority, high-visibility projects to increase the platform's value, resilience, and scalability across multiple teams. Lead and guide other engineers through architectural platform decisions Identify potential system risks and trends in reliability and design solutions to address them Provide input on prioritizing engineering-led initiatives in short- and long-term planning and roadmaps Collaborate with internal product teams to understand their requirements and how we plan for their product growth as they integrate and depend on REDAPL Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience You have worked extensively with multiple types of data stores You have contributed to in

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are part of Micron’s advanced lithography and automation organization, where we tackle some of the most complex patterning challenges in semiconductor manufacturing. Our team works at the intersection of process technology, automation, and data, helping shape how next‑generation memory devices are built worldwide. If you enjoy solving hard technical problems and seeing your work scale globally, this is the place to do it! As a Photolithography Automation Engineer, you will play a key role in advancing overlay, critical dimension uniformity, and patterning through automation and data-driven solutions. This role offers hands-on technical impact today, while also influencing Micron’s long-term automation roadmap. You will collaborate closely with process engineers, automation experts, and vendors to bring new ideas from development into high-volume manufacturing. Responsibilities: Identify overlay, CD uniformity, and patterning challenges and define automation or data science solutions Execute and support automation projects in partnership with process development teams Collaborate with internal teams and vendors to improve photo automation systems Define hardware and software requirements for lithography automation solutions Document and standardize automation methods across technologies and global sites Minimum Qualifications: Bachelor’s degree in engineering, Physics, or a lithography-related field plus 5 years of relevant experience, or MS/PhD p

Join the MongoDB Server Query team, and help us build a world-class distributed open source query engine. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, from parsing to optimization to plan selection and finally execution. This also includes our geospatial search and update subsystems. Our global team is growing fast. In North America, we have a presence across the US and Canada including New York, West Coast, Toronto. In Europe, we have a presence in Dublin, Germany, France, Netherlands, UK, Bulgaria, Spain and Italy currently. We support office-based and remote work and align projects with convenient work hours for each time-zone. We have tons of interesting problems to solve with direct impact on users for transactional, time-series and analytical workloads. We need your help to design and build the heart of a distributed, flexible schema, document database. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Candidate Profile 3+ years of experience in data intensive environments Hands-on experience building industrial-strength software Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture Experience with large code bases B.Sc in Computer Science or similar field, or equivalent practical experience Experience in C++ and in developing database systems is a plus Interest in the theory and practice of database query engines. Hands-on experience or M.Sc./Ph.D in the domain is a plus Position Expectations Understand and improve current functionality of the MongoDB query engine Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics for query performance problems, and integration with other products and tools Work with other engineers to

We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver communication libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. DL and HPC applications have a huge compute demand already and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! We are looking for a technical leader to manage our NVSHMEM and UCX libraries. This is an outstanding opportunity to push the limits on the state-of-the-art and deliver platforms the world has never seen before. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Lead, mentor, and grow your library engineering team and be responsible for the planning and execution of projects as well as the quality, and performance of your libraries. This is a technical leadership role so you will participate in feature design and implementation. Interact with internal and external partners and researchers to understand their use cases and requirements. Collaborate with engineering teams, program and product management, and partners to define the product roadmap. Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are executing in the most efficient and transparent manner. What we need to see: 10+ overall years of experience in the software industry with specialization in HPC networking or system software. 4+ years of management experience. BS, MS, or Ph.D. in C

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We are hiring a Machine Learning Engineer to join our ETA team. Our team builds and maintains Lyft's system responsible for estimating/predicting ETAs for every ride request on our platform. ETAs play a critical role in matching decisions, pricing estimates and overall user experience. Low latency, high reliability and high accuracy are paramount for our success. If you are a critical thinker with experience in machine learning workflows and writing reliable code, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. Our technology stack runs on AWS, Kubernetes, Go, Spark, Python and Apache Airflow. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers. Responsibilities: Perform data analysis and build proof-of-concept to explore and compare ML and non-ML solutions Be able to make effective tradeoffs between model accuracy, its productization complexity and runtime performance Develop statistical, machine learning, or optimization models Write production quality code that can scale well to serve millions of requests per day Participate in code reviews, design reviews, production on-call support and incident triaging process. Write well-crafted, well-tested, readable, maintainable code Experience: B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience 3+ years of Machine Learning experience Nice-to-have: Experience with big data processing / distributed data pipelines and tools such as Apache Airflow and Spark Ability to work in distributed teams spread across time zones. (North America and

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. About the Role At Adyen, the safety and security of our people, workplaces and assets is a global priority. Our Physical Safety & Security program protects a growing international organization through a risk-based, technology-enabled approach. Reporting to the Global Head of Physical Safety & Security, you will be the technical owner and subject matter expert for Adyen’s global physical safety and security technology environment. This includes access control and credentialing, video surveillance, intrusion detection, visitor management, emergency communication and emerging AI-enabled technologies. You will be the primary technical point of contact for physical safety and security systems across Adyen’s global office network. You will help shape technology strategy, define technical standards, design solutions for new and existing offices, manage system administration and troubleshooting, and lead technical integrations, migrations and deployments. For new offices, relocations and major workplace projects, you will work with Workplace, IT, contractors and specialist partners to define the physical safety and security technology architecture from design through implementation. This includes system selection, infrastructure and networking requirements, device placement, integrations, commissioning, testing and handover. This is

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Principal Systems Software Engineer in the Storage and Memory Systems (SMS) group within Micron’s ITP Pathfinding organization, you will architect, design, and develop software that enables and demonstrates the value of future memory and storage technologies. You will work in a small, highly skilled engineering team, collaborating closely with AI/ML application and modeling specialists, software engineers, hardware engineers, and system architects. Your pathfinding work will accelerate the development of future products and influence technical direction. This role requires broad technical expertise and a willingness to contribute across multiple layers of AI and systems software stacks, from AI applications to hardware/software interfaces. Responsibilities Design and modify AI inference software stacks to enable proof-of-concept hardware capabilities. Develop software to quantify and demonstrate the value of proposed system features. Lead software architecture and development efforts, both independently and as a technical lead for small teams. Research emerging AI software topics to identify memory and storage system challenges and opportunities. Develop and modify Linux applications and libraries using C, C++, Python, Rust, CUDA, and/or SYCL for advanced heterogeneous computing systems. Develop and use emulators to predict system‑level performance and functional impacts in advance of hardware availability. Debug system-level issues spanning applications, libraries, o

Systems Engineer (Experienced or Lead) Company: The Boeing Company is seeking a Systems Engineer s to join one of our St. Louis, MO (Berkeley, Hazelwood, Saint Charles) based teams . Our St. Louis based teams are responsible for development, production, trainers, and sustainment for some of the most advanced defense and weapon systems in the world – including, but not limited to: Fighters/Tactical (F-47, F-15, F/A-18, F-22, & T-7A), Autonomous Systems (MQ-25), Precision Engagement Systems (JDAM, SDB, etc), and other advanced proprietary systems (Phantom Works) and platforms (AH-64, P-8, C-17, etc.). Our teams are currently hiring for a broad range of experience Systems Engineering disciplines including, Experienced and Lead Levels: Systems Architecture , Requirements and Interfaces Definition Systems Integration, Verification, & Validation Reliability, Maintainability, & System Health Human Factors & Ergonomics Operations / Systems Analysis Flight Crew

About the Team At OpenAI, we are dedicated to building safe artificial general intelligence (AGI) to benefit all of humanity. Our mission attracts the world’s top talent across research, engineering, product, policy, and operations. OpenAI’s Recruiting Operations (RecOps) team provides the systems, workflows, and data foundation that power hiring at OpenAI. Within RecOps, the Systems & Enablement function owns the recruiting technology ecosystem—ensuring our ATS, offer workflows, and connected tools are reliable, well-governed, and user-centric. About the Role We are seeking a Systems & Enablement Lead, Recruiting Operations to lead improvements across recruiting processes, systems, and enablement. You’ll identify recurring friction, define the underlying problem, and carry solutions from an initial test through implementation, adoption, and a repeatable operating process. You’ll partner with Recruiting leaders, People Systems, and hiring teams to translate hiring priorities into scalable processes and programs. You’ll align stakeholders on the most consequential problems, establish shared operating standards, and lead changes that improve recruiting effectiveness. Success means measurable improvements, sustained adoption, and clear ownership that enables teams to operate independently and adapt as hiring needs evolve. In this role, you will: Lead projects from discovery through adoption, managing scope, milestones, dependencies, and risks. Owning enablement for operational workflow changes, including documentation, training, office hours, and change communication. Supporting offer approval and other sensitive recruiting workflows through clear coordination, followthrough, and exception handling. Identifying recurring support themes and driving fixes through process changes, documentation improvements, automation, or handoff to People Systems. Partnering closely with recruiters, coordinators, People Systems, and cross functional stakeholders to improve workf

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Position Summary: As a Systems Support Engineer, you will work in a dynamic, team-oriented environment and help improve genomic analysis tools used in cutting edge research. Working within Illumina’s Systems Engineering and Integration team, you will be responsible for investigating and resolving system-level platform issues and supporting system verification and validation activities for planned platform changes. Responsibilities: Hands-on testing and integration of systems in a laboratory environment: hardware, software, chemistry, and application components Use mechanical, optical, fluidics, electronics, and chemistry knowledge to troubleshoot system-level sequencing instrument issues Collaborate with all functions within development teams (Engineering, Chemistry Development, Consumables, Software, Field Service, Manufacturing, etc.) Provide product support for pre- and post-launch activities Perform testing and troubleshooting to gather data and make technical recommendations Support investigation experiments and design verification test plans Use of Confluence, Ji

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. As a Validation and Verification Systems engineer at Zoox, you will be owning a highly cross-functional role spanning across program management, legal, Software, and Operations organizations. You will be part of a systems engineering organization that develops and deploys novel solutions to substantiate a safety case for autonomous driving. Zoox is building a purpose-built robotaxi. Your real-world and virtual tests will capture the full end-to-end performance, from the advanced AI systems through the custom vehicle platform. You will be leading the creation of cutting-edge V&V methodologies, developing processes, writing comprehensive validation plans, reviewing verification and simulation results, and preparing reports needed to ensure the safety of the Autonomous software. You will be part of an organization with strong leadership and a transparent and respectful culture that will enable you to bring out your best potential. The role is highly visible and there are opportunities for career growth through demonstrated achievement. In this role, you will: Establish strategies and methodologies to Verify and Validate the Software stack with robust test coverage Work cross-functionally to develop detailed Simulation test plans to validate Autonomous features Design efficient test programs to achieve test coverage of requirements and scenarios, drawing on simulation, and analysis where possible Maintain traceability between requirements, test cases, and results Troubleshoot and debug issues in the field, a