Systems Research Engineer Jobs

The Role We’re looking for a Business Development Representative (BDR) focused on the U.S. Navy to join our Growth team. You’ll be on the front lines of identifying, qualifying, and shaping opportunities that align our technologies with Navy missions and program needs. This role is about building meaningful relationships, understanding complex challenges, and connecting Defense Unicorns’ solutions to where they can make the most impact. As the Navy BDR, you’ll work closely with our Account Executives, engineers, and leadership team to expand our presence within Naval Systems Commands (NAVSEA, NAVAIR, NAVWAR) and program offices. You’ll be instrumental in driving pipeline growth and helping the Navy accelerate software delivery with Defense Unicorn products. What You’ll Do Build and maintain relationships with Navy stakeholders, program managers, and industry partners. Generate and qualify opportunities across Navy programs that align with Defense Unicorns’ solutions. Collaborate with Account Executives to shape opportunities early in the acquisition cycle. Track Navy priorities, funding lines, and acquisition strategies to anticipate where Defense Unicorns can add value. Share mission and technical insights with the Growth and Engineering teams to refine our offerings. Represent Defense Unicorns at Navy-focused industry days, conferences, and working groups. What You’ll Bring 2–4 years of experience in business development, capture, or sales (defense industry preferred). Strong understanding of Navy acquisition processes, program offices, and budget cycles. Passion for aligning technology to mission outcomes. Excellent communication skills—both in building trusted relationships and in clear, concise written communication. Growth mindset, curiosity, and a bias for action. Ability to thrive in a fast-paced, dynamic, and highly collaborative startup environment. Why You’ll Love This Role Impact: Your work directly accelerates the Navy’s ability to deliver secure softwa

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. At Tenstorrent, we’re building cutting-edge hardware and software solutions that power AI, HPC, and general-purpose workloads. As a Performance Architect on our Platform Architecture team, you’ll work across ML software stacks, compilers, CPU design, cache coherency protocols, and interconnect fabrics to shape the future of high-performance systems. This role is all about bridging software execution and silicon design—making data-driven decisions that directly influence our SoC performance. This role is remote, based out of The United States. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Passionate about solving complex system-level performance problems. Comfortable working across hardware and software boundaries. Analytical and data-driven, with a talent for turning workloads into architectural insights. Collaborative, thriving in cross-functional teams spanning compilers, CPU, and interconnect. Excited to shape the future of AI/HPC platforms through performance architecture. What We Need BS/MS/PhD in EE, ECE, CE, or CS Deep understanding of NoC topologies, routing algorithms, QoS, and traffic scheduling. Expertise in cache coherenc

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why This Role? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS. We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI. In this role, you will: Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. Partner with enterprise IT teams t

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: SpaceXSI is building Colossus, the world’s largest AI supercomputer, right here in Memphis. As a Power Generation Engineer, you will play a pivotal role in powering this groundbreaking infrastructure. You will be responsible for the reliable operation and optimization of our natural gas power generation plants, ensuring uninterrupted, high-efficiency power delivery to our state-of-the-art AI datacenter. This is an opportunity to work at the intersection of energy engineering and cutting-edge AI technology, contributing to advancements that push the boundaries of human knowledge. If you thrive in a dynamic, high-stakes environment where your expertise directly impacts global innovation, this role is for you. RESPONSIBILITIES: Oversee the daily operations of natural gas turbines and associated power generation equipment, ensuring optimal performance and compliance with safety and environmental standards. Monitor and analyze power generation systems to detect and resolve issues proactively, minimizing downtime and maximizing efficiency for the datacenter's massive computational demands. Collaborate with cross-functional teams, including electrical engineers and data

P-1451 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As a Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We're hiring across all of our teams, including full stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing products. You will have a dedicated mentor and will join our 2027 intern cohort where you'll connect with engineers, other interns, and leaders from across the company. We are hiring Software Engineering Interns across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. The impact you will have: Work with a team to build features for the Databricks platform Manage your project end-to-end, including design, code, and feedback Learn about building a platform that scales quickly while maintaining quality and security What we look for: You will graduate between fall 2027 and summer 2028 with a degree in Computer Science, Engineering, or related subject You have implementation skills with a general purpose program language, such as Python, Java, or C++ You have good knowledge of algorithms, data structures, and OOP principles You are excited to solve ambiguous problems with a collaborative team About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analy

A Career with Point72's AI/ML – Investment Services Team The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning. WHAT YOU'LL DO Design and build scalable, high-performance backend systems that power investment services and AI-driven applications, and own their end-to-end lifecycle Build and operate robust data pipelines for batch and streaming workloads to ingest, transform, validate, and deliver data to models and downstream consumers Integrate and productionize generative AI capabilities and large language model solutions, including model serving, embeddings, and API-based workflows to augment investment workflows Implement and maintain microservices and APIs that expose data and model functionality with a focus on reliability, low latency, and security Optimize system performance and resilience through monitoring, observability, capacity planning, and automated incident response Lead cross-functional delivery of prototypes into production by collaborating with data scientists, researchers, product owners, and operations teams Build and maintain CI/CD pipelines, automated testing, and deployment practices to accelerate safe delivery and rollback of services Mentor and coach engineers on backend and data engineering best practices, help grow engineering capability, and contribute to the technical roadmap Collaborate with security, compliance, and infrastructure partners to ensure data governance, access controls, and operational controls are integrated into solutions WHAT'S REQUIRED Bachelor's degree in computer science, software engineering, or a related technical field At least 5 years of professional software enginee

About Zeta: Build the future of banking. Zeta is a next-generation banking technology company providing cloud-native, fully stackable processing and core banking platforms for issuers. With a focus on scalability, compliance, and innovation, Zeta empowers financial institutions to modernize their technology infrastructure and deliver secure, seamless digital banking experiences. Our impact runs at real-world scale. Today, over 25 million cards are live on Zeta-powered platforms across 7 countries, supported by a passionate team of 1,700+ Zetanauts across India, the US, EMEA, and Asia. Backed by SoftBank Vision Fund, Mastercard, and other reputed strategic investors, we reached a valuation of $2 billion in 2025. Our focus is on establishing product lines that focus on key outcomes by addressing real customer pain points, modernizing legacy systems, and strengthening core fundamentals. As a result, our systems and platforms support a wide range of banking and payments capabilities, including: 1. Tachyon, our cloud-native banking stack built for population-scale systems 2. Cipher, our unified authentication platform for secure, high-volume banking environments 3. Digital Credit as a Service, enabling banks to launch credit lines on UPI 4. Elena, our intelligent and conversational AI platform for banking. 5. Pixel, India’s first digital-native credit card, launched in partnership with HDFC Bank, for whom we also revamped their PayZapp mobile app: Winner of the Celent Model Bank Award for Payments Innovation 2024. 6. Sparrow, the leading card experience for non-prime cardholders in the US …and more across cards, payments, lending, and core banking. We are an engineering-first organization that values ownership, bias for action, and long-term thinking. Together, we solve some of the hardest problems in banking tech. Our culture is built around trust, collaboration, and creating the conditions for you to drive impact proportionate to your potential. Reinforcing ou

Principal Architect Location: Washington, DC About the Role We are seeking a Principal Architect to drive the design, development, and deployment of our agentic AI products in a fast-paced, collaborative, extremely high-visibility environment. In this role, you will lead a team of 50+ engineers, providing both strategic and technical guidance. You’ll be responsible for high-impact architectural decisions, cross-company collaboration, and executive level engagements. What You’ll Do Team Leadership: Lead and mentor a high-performing engineering team of 80+, fostering a culture of technical excellence and ownership. Technical Direction: Guide your team through complex challenges involving LLMs, AI agents, and large-scale distributed systems. Executive Stakeholder Engagement: Represent Scale AI in high-stakes negotiations and strategic discussions with senior external partners, demonstrating strong technical competence and credibility. Strategic Planning & Communication: Develop and communicate a compelling vision for Scale AI’s technology applied to your program. Provide regular updates to senior leadership and key stakeholders on progress, risks, and opportunities. Culture & Teamwork: Foster a culture of speed, unity of purpose, resilience, and teamwork. Lead through uncertainty with determination and adaptability. What We’re Looking For 10+ years of software engineering experience, including 5+ years in a technical leadership or staff role. Deep understanding of modern AI/ML technologies, including experience working with LLMs and AI agents. Proficient in one or more modern programming languages (Python, JavaScript/TypeScript) Hands-on experience with Kubernetes and cloud infrastructure (AWS, GCP, or Azure). Strong product and business sense, with a track record of aligning engineering efforts with company goals. Ability to operate effectively in ambiguous, fast-changing environments and guide your team to do the same. Experience in execu

We are looking for a Software Developer , preferably with commercial experience in low and ultra-low latency projects to join our dynamic team. The ideal candidate will demonstrate intelligence, steadiness, and thoughtfulness, with strong attention to detail and a passion for streamlining business processes. They should be naturally curious, approach problems with a continuous improvement mindset, and remain flexible in seeking ever-better solutions. WHAT YOU’LL BE DOING: Implementation of complex computational algorithms on GPU and CPU with demanding latency and throughput requirements Refactor existing solutions to improve their scalability WHAT WE LOOK FOR IN YOU: Commercial experience in developing and debugging high-performance GPU and CPU applications with strong focus on latency and throughput Hands-on experience with third-party libraries and designing custom CUDA kernels Proficient with profiling and performance analysis tools (Nsight Systems, Nsight Compute, nvprof) Solid understanding of data structures, algorithms, and object-oriented programming in C++ Proven ability to work effectively in remote or hybrid teams with variable, project-based responsibilities Curiosity and proactive engagement with emerging trends in GPU/HPC/ML, continuously seeking to learn and apply new techniques NICE-TO-HAVE: In-depth knowledge and expertise in low-latency and real-time development, achieving sub-microsecond latency Experience with lock-free data structures and associated design patterns Proficient in C programming, including writing Linux drivers and working with kernel-level components Strong understanding of Linux system internals and networking Knowledge of memory optimization techniques (shared memory, registers, coalesced access, persistent kernels) Experience with inference optimization frameworks WHY SHOULD YOU JOIN OUR TEAM? Great challenges with fast feedback loops A welcoming group of highly qualified international professionals Cutting-edge hardware and te

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We are seeking a talented and driven Software Engineer to join Platform Security team, where you will build cutting-edge security solutions to protect our Kubernetes-based infrastructure and advance secure AI-driven systems. In this role, you will design and implement AI-powered security tools, proactively address vulnerabilities, and champion secure engineering practices across the organization. Ideal candidates are passionate about impactful innovation, excel at writing clean, efficient code, and thrive in fast-paced environments to support SpaceXSI's mission of creating a trusted and secure global digital platform. RESPONSIBILITIES: Design and build AI-driven security tooling and agents using Grok to identify, analyze, and mitigate vulnerabilities in the platform infrastructure and customer facing application(s) Proactively identify security problems to solve and own the design and implementation end-to-end Collaborate and be a security champion while driving technical decisions across the organization BASIC QUALIFICATIONS: 3+ years of experience in fast-paced, high-impact environments, ideally at startups or tech-driven companies. Expertise in Python, Rust, o

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: Strong SQL and Python skills Data modelling experience (dimensional, relational, or similar) Experience building and maintaining backend systems Familiarity with Microsoft Azure Understanding of APIs, containers, and backend development best practices Implementing cloud-native data platforms Engineering scalable and reliable pipelines Good knowledge of distributed computing with Spark Understanding of cloud architecture principles and best practices Hands-on experience in designing, deploying, and managing cloud resources Agile ways of working Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform Monitoring and performance tuning of cloud-based applications and services Nice to haves: Experience with Snowflake, dbt, CubeJS Experience with Databricks, PySpark, ML workflows Experience with containerized deployments (Docker, Kubernetes, Azure Container Apps). Frontend development experience (React, Next.js, TypeScript) Infrastructure-as-code (Terraform, CloudFormation) Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining ML Pipelines & CI/

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services ( MS Azure, GCP preferred) , ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms. Successful ca

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? 2-5 years: Data Engineer Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Experience working with business stakeholders either internally or externally Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Minimum of a bachelor's

Job Title: Biomedical Scientist – Biochemistry Banding: Band 6 Location: London, Greater London Hours: Full-time Start date: ASAP Rate: £24 – £28 per hour Duration: Ongoing We are seeking a skilled and committed Band 6 Biomedical Scientist to join our client’s biochemistry department in London. This is a full-time role with ongoing potential, offering 24/7 coverage for the right candidate. Experience with Roche analysers, Winpath, and Infinity systems is essential. Key Responsibilities In this role, you will be responsible for conducting a range of biochemistry tests and procedures in a busy laboratory environment. You will operate and maintain Roche analysers, ensure accurate data entry using Winpath and Infinity, and adhere to all relevant health and safety standards. Your ability to work reliably and efficiently in a high-throughput setting will be key. Qualifications and Experience • HCPC registration • Proven experience in biochemistry within an NHS laboratory • Proficiency with Roche analysers, Winpath, and Infinity • Strong understanding of good laboratory practice (GLP) • Excellent attention to detail and reliability Why work with Pulse? From the moment you register with us, our focus is entirely on you. During our first conversation, you’ll quickly see that we understand your specialty inside and out. Our expert recruitment consultants are dedicated to finding you the best opportunities and supporting you every step of the way to secure the perfect placement. With our preferred or sole supplier status with many clients, you’ll have access to exclusive opportunities that you won’t find anywhere else. We always prioritise your best interests, engaging in meaningful conversations and truly listening to you. You are an individual, a professional—not just a resource. How to Apply If you are interested in registering with us, would like to know more about this position or simply discuss any other opportunities we have, we would

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Mission Manager is Palantir’s PaaS for enabling US Government customers and vendors to run software securely and compliantly in the most sensitive environments, but without the overhead — whether connected, disconnected, cloud, or edge. Built on the strength of Palantir’s Apollo platform, it provides the critical infrastructure needed to rapidly onboard and deploy applications into a secure Kubernetes-based ecosystem, freeing our customers to focus on building and powering mission-critical systems. The Mission Manager offering is still in its earliest days, and by joining us now, you’ll define the strategy for how we develop and scale it — witnessing firsthand the impact of your work on critical missions and the new capabilities you unlock. You’ll drive this by building elegant, robust APIs powered by Kubernetes controllers, bridging the gap between a raw Kubernetes cluster and a fully featured, infrastructure-agnostic runtime that can meet the operational demands of hundreds of specialized microservices. You’ll undertake this challenge alongside an energized team with a wide array of backgrounds and skillsets, all united by an ambitious vision for what’s possible. Core Responsibilities Work closely with forward deployed and customer engineers to understand product gaps and identify both short- and long-term product improvements and fixes Engage with and internalize Palantir’s infrastructure strategy and the needs of our customer stakeholders Deeply understand and leverage K8s primitives, the broader OSS ecosystem around K8s, and highly technical service lifecycle semantics to solve business critical problems at scale Build