Graduate Systems Support Engineer Jobs

Bracebridge Capital, LLC is a leading alternative asset manager with approximately $12 billion of net assets under management. The firm pursues investment strategies primarily within the global fixed income markets with the objectives of capital preservation and absolute return without significant correlation to equity, interest rate and foreign exchange markets. Established in 1994, Bracebridge manages private investment funds that serve endowments, foundations, pension funds and other institutional and high-net-worth investors. Approximately 170 employees operate from our office located in Boston’s historic Back Bay. The entrepreneurial and collaborative culture at Bracebridge rewards and supports motivated, dedicated, enthusiastic and intellectually curious individuals. We believe our firm’s greatest asset is the people who work here. Bracebridge is seeking to hire a talented graduate student as a co-op in our Quantitative Research department. The co-op will report to the Manager of the ABS Business Intelligence group and will be exposed to all aspects of the data acquisition process, including requirements definition, development, testing, implementation and maintenance. Primary Responsibilities: • Learn, maintain, support and enhance the existing data acquisition framework • Create new applications, reports and automated tests using the existing framework • Design and maintain tools to analyze the performance of preproduction code • Build out the data acquisition framework for new providers and asset classes • Improve product documentation Required Skills and Credentials: • Top academic credentials in pursuit of a MS degree in Computer Science, Engineering or Information Systems • Experience with .NET development platform preferred • Experience with C# or Java • Strong object-oriented programming skills • &nbsp

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors, software, and data center systems that provide the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing transformative technologies. Our U.S. engineering teams contribute to the hardware and software platforms that support the next generation of AI systems. The Opportunity We are looking for a computer engineering, electrical engineering, or computer science student or recent graduate to join the BMC Development team as a Firmware Engineering Intern. You will work with experienced engineers on low-level and embedded firmware that supports the operation, control, and manageability of advanced compute systems. This internship provides hands-on experience in firmware development, test automation, engineering experiments, and lab-based system testing in a Linux development environment. You will own clearly defined technical tasks with guidance from the team and contribute to production-quality engineering work. Type: 12-week summer internship Timing: May - August (exact dates to be confirmed) Commitment: Full-time What You Will Do Contribute to the design, implementation, and testing of system and embedded firmware. Develop and maintain firmware and supporting software in C, C++, or Python. Support firmware development and debugging in a Linux-based engineering environment. Create automated tests and scripts that improve firmware validation, test coverage, and engineering efficiency. Contribute to continuous integration and delivery workflows for firmware development and testing. Plan and conduct well-defined engineering experiments, record results accurately, and draw conclusions from test data. Support lab setup, system configuration, hardware bring-up, and firmware testing. Use debugging and diagnostic techn

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. This role is for fresh-graduate or candidates with experience under 2 years. Key Responsibilities: You will work closely with multiple teams that make up IT, Information security and Technology to drive impactful change. Design, engineering and implementation of application security solutions in a scalable way for a worldwide enterprise. Analyze and troubleshoot systems issues. Ensure that the potential impact of software development changes is well understood, using data to support understanding of upstream and downstream dependencies. Collaborate closely with cross-functional teams for end-to-end testing and performance analysis of real-time data applications, solve issues, proactively identify new opportunities, and drive initiatives through to completion Preferred Qualifications: - Strong programming skills in C, C++, C#, or Perl - Ability to read, debug, and maintain existing production code - Experience with software design, development, testing, and troubleshooting - Passion for problem-solving and continuous improvement AI Relevant Job Responsibilities: Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. Contributes to a culture of continuous improvement b

AI Engineer – Forward Deployed Engineering (AI FDE) (ALL LEVELS) CSQ327R177 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations. This role is intended for experienced engineers with demonstrated industry experience designing, building, and deploying production GenAI and LLM applications at scale. It is not intended for internship, new graduate, or entry-level applicants. The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit , recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, levera

Work Flexibility: Hybrid Stryker is delighted to share that we are now accepting applications for our Stryker GQO Manufacturing Operations Development Programme – to begin in September 2027. The programme is a 23-month structured programme that provides participants the opportunity to be part of a site based Operations and Manufacturing team, with exposure to cutting edge technology varying from traditional manufacturing processes to additive manufacturing and robotics, across the Joint Replacement Stryker division T in Ireland. The programme focuses on developing the skillset, mindset and toolkit of each participant to enable them for success within Manufacturing Operations to support our wider business to be successful. During each rotational assignment participants will be responsible for (not limited to): Participating in various project teams. Work with a highly creative manufacturing team to invent and develop innovative new product concepts. Implementation of new manufacturing processes and technology. Implement quality systems and work closely with Engineering, Operations, Quality and Advanced Operations Provide process validation support both internally and with vendors. Develop and qualify new test equipment and methods. Research, specify and qualify new test or prototyping equipment. Participate in various trainings to develop your skillset, mindset and toolkit. What Are We Looking For? Dedicated achievers: People who thrive in a fast-paced environment and are determined & driven to ensure commitments are met, projects are delivered and meets regulations and expectations. Curious learners: People who seek out cutting-edge research and inform

AI Engineer - FDE (AI Forward Deployed Engineer) Req ID: CSQ427R333 Preferred locations: Stockholm, Sweden. Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimisations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: As a New Grad Software Engineer, you'll join a team of exceptional builders working on products that are reshaping how the world creates software. You'll have the opportunity to work on everything from our AI-powered development platform to the distributed systems that enable real-time collaboration for millions of developers. This is a chance to define your career while defining the future of software development. You'll work on problems that matter, with the autonomy to drive solutions and the support to grow into a technical leader. What you will build: Product features that delight users and make it possible for anybody to create software AI coding agent that understands intent and generates production-ready applications Cloud infrastructure that provides instant, powerful development environments at global scale Platform features that enable one click deployments and scale to millions of users Required skills and experience: Recent graduate (2027) with a degree in Computer Science, Computer Engineering, or related field Strong programming skills in a modern language (JavaScript/TypeScript, Python, Go, Rust) Full-stack capabilities with experience in React, Node.js, and database technologies Growth orientation - eager to learn new technologies and take on increasing responsibility Collaborative spirit - you work well in cross-functional teams and value diverse perspectives What we value : Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams Strong communication skills: Ability to explain complex technical conce

AI Engineer - FDE (Forward Deployed Engineer) Req ID: CSQ427R191 Location: London, United Kingdom Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a qua

Req: FEQ227R196 Location: Tokyo, Japan Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.)

Apply early for priority consideration. Gallup has limited openings for this internship, and the position will be filled quickly. As a data engineering intern at Gallup, you’ll help build and modernize the data tools, infrastructure and pipelines that enable teams to work with data at scale. Alongside experienced technical leaders, you’ll put your Python and SQL skills to work on meaningful projects while learning best practices, experimenting with modern tools and seeing firsthand how strong data engineering supports better decisions. What You’ll Do During your internship, you will: Build foundational data tooling and infrastructure designed to scale as the volume and frequency of data grow Help modernize legacy data pipelines using Python, SQL and Gallup’s evolving data platform Troubleshoot data quality issues in large, imperfect datasets Apply data engineering practices to move, transform and validate data across systems Help build reliable, efficient data workflows Learn from senior technical leaders who will mentor you on engineering practices, tools and approaches Collaborate with engineers and interact directly with stakeholders to understand needs and deliver useful solutions Use AI-enabled development tools to improve the quality and efficiency of your work What You Need Enrollment in an associate, bachelor’s or graduate degree program in computer science, data engineering, information systems, statistics, math or a related field required Classroom or work experience writing SQL required, including joins, aggregations and troubleshooting query performance Classroom or work experience coding in Python for data processing, scripting or automation required Working knowledge of relational database and data modeling concepts, including schema design and dimensional or star-schema modeling, required Comfort using AI tools such as Claude, Claude Code or GitHub Copilot to support high-quality, efficient work required Understanding of ETL/ELT concepts and how data

Apply early for priority consideration. Gallup has limited openings for this internship, and the position will be filled quickly. As a data engineering intern at Gallup, you’ll help build and modernize the data tools, infrastructure and pipelines that enable teams to work with data at scale. Alongside experienced technical leaders, you’ll put your Python and SQL skills to work on meaningful projects while learning best practices, experimenting with modern tools and seeing firsthand how strong data engineering supports better decisions. What You’ll Do During your internship, you will: Build foundational data tooling and infrastructure designed to scale as the volume and frequency of data grow Help modernize legacy data pipelines using Python, SQL and Gallup’s evolving data platform Troubleshoot data quality issues in large, imperfect datasets Apply data engineering practices to move, transform and validate data across systems Help build reliable, efficient data workflows Learn from senior technical leaders who will mentor you on engineering practices, tools and approaches Collaborate with engineers and interact directly with stakeholders to understand needs and deliver useful solutions Use AI-enabled development tools to improve the quality and efficiency of your work What You Need Enrollment in an associate, bachelor’s or graduate degree program in computer science, data engineering, information systems, statistics, math or a related field required Classroom or work experience writing SQL required, including joins, aggregations and troubleshooting query performance Classroom or work experience coding in Python for data processing, scripting or automation required Working knowledge of relational database and data modeling concepts, including schema design and dimensional or star-schema modeling, required Comfort using AI tools such as Claude, Claude Code or GitHub Copilot to support high-quality, efficient work required Understanding of ETL/ELT concepts and how data

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Role As an intern on Decagon’s Engineering team, you’ll be part of a pioneering group shaping the future of intelligent agents. You’ll contribute directly to production-ready initiatives that address real team needs, gaining hands-on experience and leaving your mark on meaningful, high-visibility work. This is a 12-week internship running June 1 – August 20, 2027, based out of our San Francisco office. This role is designed for candidates graduating between December 2027 and July 2028. Your background looks something like this You will graduate by summer 2028 with a degree in Computer Science or a related technical field You have experience from previous software engineering internships You write amazing code, fast Experience using AI coding agents as part of development You are excited to thrive in a fast-paced environment, continuously learn, and sharpen your skills Even better Prior experience working with multi-modal models Experience with distributed systems, data pipelines, or produ

CSQ427R171 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: 7+ years of experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical exp

At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. Our internship program at Sigma: Sigma’s Early Career Program is the launchpad for the next generation of engineers and innovators. As an Intern at Sigma, you’ll work on various production features and learn efficient engineering for large scalable systems. Our interns work directly with our engineers, product leaders, and designers across the organization everyday. We’re looking for students who bring curiosity, a spirit for collaboration, and a desire for shaping the future of business insights and data exploration. Internship Program Qualifications: Current student : Applicants must be currently enrolled in a university undergraduate or graduate degree program in the U.S with a graduation date of December 2027 or later Able to intern from June 2027 through August 2027 (flexible) Authorization : You must be legally authorized to work in the US during the Summer 2027 program Visa sponsorship is not available for our internship positions, but we welcome applicants on a student visa (with authorization to work in the U.S.) to apply Location: Applicants must be able to work in-person in our office in San Francisco, CA or New York, NY for the duration of their internship. Relocation assistance will be provided for students who will need to relocate for the summer in the form of a relocation bonus. About the role: As a Technical Writing Intern , you will test and document new product features that help our global user base analyze and gather insights from their data. During your internship, you’ll partner directly with your tech

Job Description (JD) for MEP Engineer - Electrical Lead Projects & Site Integration. Experience Minimum 8 to 12 years of relevant experience in industrial pharmaceutical FMCG chemical manufacturing or process industry projects. Proven experience in handling electrical systems control systems for greenfield and brownfield projects. Experience in project execution commissioning and plant integration activities. Technical Competencies Electrical power distribution systems (HT/LT) Transformers switchgear MCCs PCCs UPS and DG systems Load calculations and power system studies Earthing and lightning protection systems Electrical safety standards and statutory compliance FAT SAT commissioning and start-up support Technical Bid Analysis (TBA) Vendor and contractor management AutoCAD and electrical drawing review Project planning and execution methodologies Excellent stakeholder management and communication skills Problem-solving and troubleshooting mindset Result-oriented with strong project ownership Effective planning organizing and execution skills Address: D-3/CL, MIDC Industrial Area,Turbhe, Navi Mumbai. 400705 Facility: ZOETIS PHARMACEUTICAL - NAVI MUMBAI Qualification: Post graduate Experience: 8 - 12 years Source: Sodexo India | Job Code: IJP575825