Systems Engineering Jobs

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is on the lookout for a Technical Research Analyst to support the intake, documentation, and coordination of software and SaaS product updates. You’ll partner with stakeholders across the business to gather requirements, keep requests moving, and ensure decisions and action items are clearly captured. This is a full-time, in-office position based out of Rockstar’s unique game development studio in Oakville, ON. WHAT WE DO The Rockstar Games Systems Engineering Team delivers global IT systems infrastructure to the development teams. We maintain our infrastructure to the highest standard, with an emphasis on preventative actions rather than reactive. Our team constantly reviews our processes with the aim of automating wherever possible. RESPONSIBILITIES Research requested third party software and other tools and provide concise summaries for a variety of stakeholders. Coordinate intake for software and emerging technology tool requests by collecting required details, clarifying incomplete submissions, and preparing concise summaries. Partner with cross-functional teams (e.g., business stakeholders, IT, security, and governance) to understand business needs, track requests, route questions, capture feedback, and escalate risks or blockers. Support recurring review meetings by reporting on research, capturing feedback, documenting decisions, and maintaining action items (owners and due dates). Maintain vendor communications to ensure product features align with expectations and cost models, while staying informed on new feature releases Maintain an inventory of commonly used tools and identify pote

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role As Chief of Staff for Nuro Driver, you will play a critical role in driving strategic programs, improving execution, and helping refine the Autonomy Product that powers Nuro’s commercial partnerships and deployment roadmap. Nuro Driver encompasses Autonomy, Controls, Embedded Software, Sensor Data & Calibration, and Systems Engineering, Technical Program Managers - the core technical functions responsible for developing, integrating, tuning, validating, and scaling the Nuro Driver. Reporting to the VP of Nuro Driver, you will operate as a trusted proxy and execution partner, working across internal engineering teams, company leadership, and key external partners to bring clarity, structure, and momentum to Nuro’s most important technical and business priorities. This role requires strong strategic judgment, technical fluency, operational rigor, and executive-level stakeholder management. You will help translate complex

GAQ426R192 About the Role As Senior Manager, Finance Data and AI, you will lead the team that owns the data foundations, finance semantic layer, financial reporting, and AI-enabled analytics that power Databricks' Finance and Accounting organization. You will report to the Senior Director, Finance Data, AI & Strategy, and serve as the domain and technical anchor for a team that turns financial operations into trusted, well-governed data and reporting. This individual is expected to be based in Bengaluru. This is a high-impact role at the intersection of finance and accounting domain expertise and modern BI/analytics capability. It is less about deep distributed-systems engineering, and more about deeply understanding how Finance and Accounting operate (close, reconciliations, revenue recognition, chart of accounts) and building a trusted data foundations on top of the Databricks platform and Finance DataLake that Finance and Accounting can rely on every day. What You Will Do: Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines, with built-in data validation and reconciliations, to ensure Finance and Accounting can trust the data behind every report Own and evolve the Finance semantic layer: metric definitions, business logic, and data models that ensure a single source of truth for financial reporting across Finance, Accounting, and the broader business Partner closely with Accounting during month-end and quarter-end close, providing hands-on support to ensure reporting data is accurate, timely, and reconciled, and driving timely resolution of data-related issues Build and maintain dashboards and reporting for monthly, quarterly, and executive-level reporting, translating financial data into decision-ready insight for Finance leadership and the CFO organization Identify, scope, and deliver AI use cases that materially change how Finance and Accounting work day to day, including forecasting automation, anomaly detection, and natural language

The Onboard Behavior Model Architecture team is responsible for developing deep learning models that leverage data and compute at large scale to train driving models. We learn and predict behaviors from large scale expert data and large scale reinforcement learning to produce a ML driver that is safe, comfortable, and completes the mission. In this role, you will collaborate closely with the Onboard Perception, Cost Planner, Simulation, Validation, Data Science, Systems Engineering, QA, and ML Infra teams. In this role, you will: Lead a Team: Manage, mentor, and grow a team of individual contributors, fostering a culture of innovation and continuous improvement. Develop Strategy: Develop and organize our overall strategy for Onboard Behavior ML Models for generating driving plans for our autonomous vehicle. You will interface with multiple partner teams to identify opportunities for model improvements within their problem area. You’ll be setting the short and long term technical direction for the team and collaborate on broader company-wide directions. Provide technical guidance and leadership in the design and development of training models at large scale and work with partner teams on ensuring their efficient inference. Monitor Performance: Establish and monitor key performance indicators (KPIs) to measure the effectiveness of work packages and drive continuous improvement. Manage Resources: Manage the allocation of resources within the team, ensuring that projects are staffed appropriately and that team members have the necessary tools and support to succeed. Qualifications Expertise with Reinforcement Learning and Machine Learning for at least one of these areas: Planning, LLMs, VLAs/VLMs, recommendation systems. Extensive experience with programming and algorithm design, strong mathematics skills. MS or Ph

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software, and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers, and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to the Validation leadership team, the Senior Execution and Quality Validation Engineer will be responsible for executing validation plans, developing automation solutions, and improving product quality across Graphcore silicon and platform technologies. Working closely with architecture, design, verification, firmware, software, systems engineering, and validation teams, the successful candidate will contribute to scalable validation methodologies, improve test coverage and execution efficiency, and help ensure products meet high standards of functionality, reliability, and performance before customer deployment. The role requires strong technical skills, attention to detail, and a passion for improving validation quality through effective execution, automation, and continuous improvement. The Team The Validation Execution and Quality team sits within the Validation organisation and is responsible for improving validation effectiveness, test execution efficiency, product quality, and release readiness across Graphcore silicon and platform products. The team develops validation methodologies, automation

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software, and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers, and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to the Validation leadership team, the Principal Execution and Quality Validation Engineer will be responsible for driving validation execution, automation, product quality, and release readiness across Graphcore silicon and platform technologies. The role combines deep expertise in hardware validation, test automation, and quality engineering with a strong focus on execution excellence. Working closely with architecture, design, verification, firmware, software, systems engineering, and validation teams, the successful candidate will develop scalable validation methodologies, improve test coverage and execution efficiency, and ensure products meet the highest standards of functionality, reliability, and performance before customer deployment. As a recognized technical leader within the validation organisation, this role will influence validation strategies, automation roadmaps, and quality practices across multiple projects and engineering disciplines. The Team The Validation Execution and Quality team sits within the Validation organisation and is responsible for improving validation effectiveness, te

We are seeking a Salesforce Engineer III to design, build, and support secure, scalable Salesforce solutions that support critical business operations. This is a senior individual contributor role requiring strong hands-on technical expertise, sound engineering judgment, and experience working in regulated environments. This position supports systems and data subject to FedRAMP and other U.S. government compliance requirements. Due to the nature of the work, U.S. citizenship is required. This role will be based remotely in the United States. What You’ll Do Design, build, and maintain Salesforce solutions across sales, service, customer, and operational workflows Implement functionality using Salesforce configuration, Flows, Apex, Lightning Web Components (LWC), SOQL, and platform automation Develop and support integrations between Salesforce and external enterprise systems Translate business requirements into secure, scalable, and maintainable technical solutions Participate in technical design reviews, sprint planning, code reviews, testing, deployments, and production support Troubleshoot and resolve issues related to automation, integrations, data integrity, and system performance Create and maintain technical documentation, support UAT and regression testing, and assist with user enablement Ensure all solutions comply with Salesforce best practices, internal security standards, and regulatory requirements Leverage AI-powered development tools to improve productivity and analysis, while adhering to security and compliance guidelines Responsibilities Technical Delivery: Own end-to-end delivery of Salesforce features using a mix of declarative and programmatic solutions Secure Engineering: Design and implement solutions that meet FedRAMP, security, and compliance requirements, including least-privilege access and auditability Integration Design: Build and maintain secure integrations between Salesforce and downstream systems Engineering Excellence: Maintain high st

The Sr. Technical Program Manager for Robot Platform on PMO is a seasoned program management expert and cross-functional leader that will be responsible for strategic planning and execution of technical and integrated product milestones for our vehicle platforms on our path to launch. This person will work closely with hardware, firmware, software, safety, operations, manufacturing and systems integration teams to structure, plan, and execute milestones to achieve our company goals. The right candidate will have experience with complex HW/SW systems engineering and integration, and with leading large, cross-functional teams to deliver ambitious programs. In this role, you will: Partner with a wide range of department managers to translate the top-down corporate strategy and milestones into detailed technical roadmaps, timelines, and deliverables Influence key decisions working cross-functionally across engineering, manufacturing, product, operations, and strategy to reach the right outcomes Establish standard reports to provide concise and effective communications to key stakeholders on program status, issues/risks, and accomplishments Define and develop new KPIs and other methods to measure performance that best translate progress toward goals Ensure the program goals are aligned with business objectives; build and sustain momentum among cross-functional TPMs and workstreams towards delivering on time and on target Maintain a strong technical understanding of our vehicle platforms, software lifecycle, safety clearance process, and test operations Qualications: BS or MS degree in an engineering discipline or equivalent experience 7+ years of experience in engineering, program management, or management consulting with a focus on product launches Success in driving complex SW/HW integration processes and optimizations and leading complex cross-functional programs end to end

Come join the Server Ingress Security team, where we are rearchitecting MongoDB Server’s ingress networking to make MongoDB clusters even more secure. This new team is building the Atlas Network Protection layer, a set of performant, security-critical services that harden MongoDB's pre-authentication attack surface and provides the ability to respond rapidly to emergent threats. We are looking for talented Senior Engineers to join the team and be founding members, where you will play a crucial role in our multi-year roadmap. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies security and systems engineering fundamentals to protect a popular database at scale, join us! We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Candidate Profile 5+ years of experience building production-quality systems software Experience with large backend/compiled codebases and performance-sensitive software, preferably in Rust Bonus points for experience working hands-on in security-sensitive or networking-adjacent domains Strong systems fundamentals, including multi-threaded programming and performance profiling. Bonus points for: Understanding of network protocols, TLS, and connection lifecycle management Familiarity with security concepts such as attack surface reduction, input validation, memory safety, and defense-in-depth architectures Excellent verbal and written technical communication skills, with a strong desire to collaborate with colleagues Strong time management skills and the ability to realistically assess project complexity B.Sc. in Computer Science or a related field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture. Interest in the theory and practice of high-availability, security-critical systems Position Expectations Design, implement, and operate production

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP. Responsibilities: Designing data workflows, pipelines, and pathways to support ETL/ELT, while ensuring data-quality and exchange of sensitive information across AWS cloud and on-prem environments. Implementing systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems, including backup and recovery strategies Architecting, deploying, and operating data streaming technologies (Kafka, Redpanda, Kinesis, etc ) on Kubernetes with an emphasis on declarative definitions to reduce complexity in day-2 operations Working with a platform team to implement best practices for configuration management, security, and performance optimization within Kubernetes and AWS environments Working with a platform team to automate infrastructure provisioning, monitoring, and scaling using tools such as Terraform working with cybersecurity SMEs to incorporate best practices and techniques to defend our data layer against potential threats Ensuring that our data layer systems are compliant with industry and DoD regulations, standards, and best-practices Staying up-to-date with industry trends and emerging technologies related to Kubernetes, containerization, and data engineering Travel Expectations/Requirements: 6-10 times per year The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. * Preferred Experience and Qualifications: Demonstrated experience (minimum 5 years) in building and maintaining production data pipelines, databases, and data exchange services on Kubernetes Experience in designing, deploying, and operating Kafka / Redpanda data streaming solutions on Kubernetes Experience in creating data pipelines from scratch with the ability

Come join the Server Ingress Security team, where we are rearchitecting MongoDB Server’s ingress networking to make MongoDB clusters even more secure. This new team is building the Atlas Network Protection layer, a set of performant, security-critical services that harden MongoDB's pre-authentication attack surface and provides the ability to respond rapidly to emergent threats. We are looking for talented Staff Engineers to join the team and be founding members, where you will play a crucial role in our multi-year roadmap. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a key technical leader on a collaborative team that applies security and systems engineering fundamentals to protect a popular database at scale, join us! We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Candidate Profile 10+ years of experience building production-quality systems software with a large user base, robust design structure, and rigorous code quality Experience with large backend/compiled codebases and performance-sensitive software, preferably in Rust Bonus points for experience working hands-on in security-sensitive or networking-adjacent domains Strong systems fundamentals, including multi-threaded programming and performance profiling. Bonus points for: Understanding of network protocols, TLS, and connection lifecycle management. Familiarity with security concepts such as attack surface reduction, input validation, memory safety, and defense-in-depth architectures. Excellent verbal and written technical communication skills for communicating to a wide variety of audiences ranging from junior engineers to executive stakeholder Strong mentorship skills, and excitement about leveling up your peers and teammates through coaching, feedback, and enablement Strong time management skills and the ability to realistically assess project complexity B.Sc. in Computer Science or a related

We are looking for a Technical Sourcer who is interested in joining a world-class sourcing team. This team will be tasked with scaling our talent pipeline and be a force multiplier for our recruiting team. In this role, you will help talent map and drive sourcing strategy for a diverse set of systems engineering roles. You will be given the independence and ownership to set strategy in pipeline building for the teams you support. This position requires an uncommon balance of teamwork, dedication, and interpersonal skills. You will be expected to act as an ambassador of the brand and have the ability to deliver results in a fast-paced work environment. Most importantly, you must have a genuine passion for the Zoox mission. We are looking for someone who has experience working on Manager and Leadership level hires for Technical Requisitions. Responsibilities: Qualify and understand job requirements Source and screen resumes, and evaluate candidates to determine fit Build a pipeline of engineering talent with recruiting partners to meet company needs and priorities Qualifications 4+ years of full cycle sourcing experience Ability to evaluate technical aptitude and screen candidates for both technical and behavioral fit Tech and industry knowledge with the ability to understand relevant skills and companies within the industry Consultative and interpersonal skills with ability to communicate across all levels of the organization Bonus Qualifications Experience recruiting/sourcing systems or software positions Experience working for a recruiting agency or sourcing in-house Experience working directly with hiring managers and senior engineering leadership Location This hybrid role entails working in the office three days per week in our Foster City office (HQ). Compensation This is a contract position and employment for this position will be through a vendor contracted wit

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Learned Trajectory Machine Learning Engineer you will be responsible for developing deep learned models that produce trajectories for our vehicles to drive. Given the tight integration of behavior prediction and motion planning, you will closely collaborate with the Planner and Perception teams in the advancement of our overall vehicle behavior. In this role, you will: You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort etc. You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field You will develop metrics and tools to analyze errors and understand improvements of our systems You will collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications BS, MS, or PhD degree in computer science or related field Experience with training and deploying transformer-based model architectures and reinforcement learning Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in C++

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Learned Trajectory Machine Learning Engineer you will be responsible for developing deep learned models that produce trajectories for our vehicles to drive. Given the tight integration of behavior prediction and motion planning, you will closely collaborate with the Planner and Perception teams in the advancement of our overall vehicle behavior. In this role, you will: You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort etc. You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field You will develop metrics and tools to analyze errors and understand improvements of our systems You will collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications BS, MS, or PhD degree in computer science or related field Experience with training and deploying transformer-based model architectures and reinforcement learning Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in Pyt

Senior Test & Evaluation Engineer (Test Program Req & Planning) Company: The Boeing Company Boeing Test & Evaluation (BT&E) organization is seeking a Senior Test & Evaluation Engineer (Test Program Req & Planning) to join our team in Oklahoma City, OK . This position supports a diverse portfolio of Boeing programs including the B-1, and B-52 sustainment and modernization programs. The Engineer is responsible for supporting the Test Program Manager (TPM) and other program leadership by leading the Ground Test/Flight Test (GT/FT) Integrated Product Teams (IPTs) and ensuring the integration of Boeing Test & Evaluation (BT&E) capabilities and resources to meet program commitments. This role requires close collaboration with program IPTs, Systems Engineering Integration & Test teams, Program Offices and external developmental test organizations Position Responsibilities: Develop, prepare, and coordinate comprehensive Program Integrated Test Plans (ITP), detailed Test & Evaluation (T&E) plans, and associated documentation including requirements traceability, verification metrics, and program requirements. Lead the development and standardization of test methods, procedures, and processes to ensure repeatability, productivity, and continuous improvement through lessons learned. Integrate BT&E capabilities and resources with other IPTs, Systems Engineering, government stakeholders, industry partners, suppliers, and customers to ensure seamless test execution and alignment with program objectives. Conduct testability assessments of engineering requirements and oversee disciplined cost, schedule, and configuration management to meet program baselines and commitment