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Senior Software Engineer, Core Infrastructure Services - DGX Cloud — 5 Locations. Apply via Workday.

Associate Software Development Engineer — TX - Farmers Branch. Apply via Workday.

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. Our Platform: Our mobile apps are Swift and Kotlin. Our frontend is built with React. Our backend uses Elixir and increasingly more and more Python. GenAI has significantly impacted our system architecture, requiring us to adapt and evolve. We are in the midst of a shift from existing products augmented with AI to a full AI-first platform. You Are: A Mobile Principal Software Engineer who will lead our mobile team and evolve it to meet the shifting demand of a full AI-first platform — on a timeline measured in weeks, not quarters. You're deeply hands-on with AI coding agents, and you've used them to ship serious work, not just autocomplete. You're as comfortable architecting a thin mobile client backed by a powerful API as you are dropping into our Python backend (with AI assist) to add what mobile needs. You'll shape our participant experience across mobile with heavy influence on the web too. You're deeply product focused, energized by solving business problems, not just writing code. You ask "why" before "how," and you partner with Product and Design as a peer — shaping problems, not just taking specs. You know when to ship a scrappy prototype to test an assumption versus when to invest in a foundation built to last, and you can explain that call to a PM or designer. You can hold multiple projects in your head at once, spotting where they'll collide, depend on each other, or share a chance for reuse. You bring Principal/Staff-level scope as a product enginee

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 Research Application Development group and will be exposed to all aspects of the software development lifecycle. Primary Responsibilities: Work with senior engineers to design and develop new features on application platforms Determine root cause and resolve any issues arising on application platforms Implement unit and integration tests Required Skills and Credentials: Top academic credentials in pursuit of a MS degree in Computer Science, Engineering or Information Systems Understanding of object-oriented programming Knowledge of SQL Intellectual curiosity and an eagerness to learn Knowledge of web development Experience with C# and .NET is a plus Current anticipated annual base salary range: $43 - $48/hour Base salary within the range will be determined by various factors including but not limited to the individual's experience, skills and qualifications.

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 the Role The Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes. This is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate. Key Responsibilities Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state. Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes. Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability. Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unn

Job Title Senior/Staff Embedded Software Engineer - C++ (San Diego, CA) Job Description Senior/Staff Embedded Software Engineer - C++ (San Diego, CA) You will work on the development of Intravascular Ultrasound Systems. As a member of an international cross-functional team, you work closely together with electrical engineers, transducer engineers, software engineers, system engineers, and ultrasound engineers. Your role: Being a key contributor to the development of medical capital equipment. Architect, design, and develop embedded software for intravascular ultrasound systems. Interfacing with multi-disciplinary teams consisting of marketing, hardware, software, catheter design, and manufacturing to refine design requirements for next generation intravascular ultrasound devices. Create software requirement specifications, software architecture documents, and detailed software design documents. Design and debug firmware for embedded processors, microcontrollers, digital signal processors, and other electronic components using C/C++. Generating and releasing design documentation per production development procedures. Leading, generating and conducting formal verification and validation plans for completed designs in collaboration with Quality and Regulatory. Conducting technical design reviews with the project team(s) and independent subject matter experts across the company. You're the right fit if: You have 5 + years' experience in software/firmware development preferably in the field of medical electronics. Industry experience creating detailed design documentation (specifications, design descriptions, verification and testing plans). You have earned a BS/MS in Computer Science, Electrical Engineering, Biomedical Engineering, or related fie

We are seeking a talented, detail-oriented Full Stack Software Engineer Analyst to design, build, test, and maintain mission-critical, customer-facing web and mobile applications. In this role, you will be instrumental in delivering scalable, resilient microservices architectures powered by Java Spring Boot, coupled with dynamic, responsive user experiences built with modern front-end frameworks (Angular or React). Quality engineering and security are central to our development lifecycle. In addition to core feature engineering, you will actively participate in end-to-end quality assurance by creating automated test suites, developing robust test scripts, and performing hands-on functional and regression testing. If you are passionate about building secure, reliable customer experiences and thrive in a collaborative, positive-sum engineering team, we encourage you to apply. Responsibilities: 1. Application Design & Full Stack Engineering Architect, implement, and maintain responsive, high-performance customer-facing web and mobile applications. Develop clean, modular, and reusable front-end components using Angular or React along with modern CSS/HTML frameworks. Build resilient, scalable, and loosely-coupled backend services using Java and SpringBoot microservices. Design, build, and maintain robust RESTful APIs, asynchronous event streams, and database integrations. 2. Quality Assurance & Test Automation Drive quality engineering by authoring and maintaining automated unit, integration, and end-to-end (E2E) test scripts. Develop comprehensive test automation frameworks using tools such as Selenium , Playwright , JUnit , Mockito , or Jest . Perform actual hand

Internship Details Location: Bucharest, Romania Duration: 6 months full-time (1st July 2027 to 31st December 2027) Eligibility: Romania-based students enrolled in a: Bachelor's degree program, graduating in 2027 Master's or Ph.D. degree program, graduating in 2027 or 2028 Hybrid arrangement: 3 days onsite at the office, 2 days remote work from home Annual Pay : 130.000 RON The Opportunity Adobe is seeking dedicated and curious Software Engineer interns to help design, build, and evolve the systems that power our products and platforms. As an intern, you’ll work in an AI-enabled development environment, where modern tools accelerate how software is built and tested. You’ll collaborate with experienced engineers and multi-functional partners, including designers and product managers, to contribute to real-world systems while continuing to build your technical and problem-solving skills. Join us for an internship in one of several open project areas. Whether your strength is Java, JavaScript, C&#43;&#43;, or Python, there’s a place for you to contribute and grow. What's in it for you? Real impact: You’ll participate in important engineering projects that have a direct effect on Adobe’s products and platforms. Work alongside knowledgeable teams, address authentic challenges, and grow skills that count. Unforgettable memories: Our Internship Program is built to accelerate both personal and professional growth through curated learning sessions, mentorship, and peer networking. Authentic culture: At Adobe, you’re encouraged to be yourself. Our values: Create the future, Own the outcome, Raise the bar, and Be genuine build a culture where innovation thrives, ownership is celebrated, and authenticity is respected. <br

NVIDIA is seeking a senior systems software engineer to help engineering teams run demanding build, simulation, and validation workloads efficiently and reliably. Our Workload Systems Engineering team connects customer workflows with the infrastructure that performs them. We develop self-service mechanisms and clear diagnostics, investigate performance and reliability across system boundaries, and deliver measured infrastructure improvements with the teams that own the underlying components. Your responsibilities include enabling application configuration, remote execution, workers, hosts, GPU and CPU resources, storage, data paths, and on-target systems. The position requires direct system evaluation: diagnosing causes of slow or failing workloads, trying alternatives in representative scenarios, applying improvements with others, and verifying customer advantages. What you'll be doing: Build shared self-service and validation mechanisms that let engineering teams configure and use supported infrastructure workflows with less manual assistance. Give customers and on-call teams useful diagnostic views across application, submission, remote-execution, and host or target layers so they can identify where failures and slowdowns originate. Set performance and reliability benchmarks for representative workloads. Apply profiling, metrics, traces, and controlled experiments to pinpoint the changes that make a difference. Evaluate and improve compute and GPU selection, scheduling and placement, concurrency, worker and runner configuration, resource sharing, caching, and input/output paths. Make retry causes, recovery outcomes, and wasted execution capacity visible. Work with component owners to eliminate recurring failures and unnecessary re-execution. Implement and validate infrastructure-level changes with application, build and CI, remote-execution, and infrastructure teams. Measure

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking a Sr. Systems Software Engineer for the Apache Spark Acceleration group. Over the past five years GPU accelerated data processing has moved from proof of concept to production deployments. Many enterprises recognize accelerated computing is vital to handle their large data processing needs. Multi-node GPU deployments will reduce cloud computing costs and lower latency in batch ETL workloads. Apache Spark is the most popular data processing engine in data centers. At NVIDIA, we are developing an open source plugin to accelerate Spark applications on GPUs without any code changes. What you'll be doing: Enable C&#43;&#43; native execution of Spark operations on CUDA Develop CUDA/C&#43;&#43; libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC and JSON Collaborate with distributed systems teams to craft solutions to distributed processing problems challenges at large scale Work with open source communities to enhance libraries like RAPIDS, CCCL and UCX through technical discussion and code contributions Provide recom

Job Details: Job Description: Designs, develops, sustains, tests, validates, and debugs software to enable specific factory, wafer process, packaging features, capabilities, solutions, and/or reference platforms for Intel manufactured products. May work across multiple layers of the software stack spanning firmware, drivers, operating systems, database platforms, storage platforms, network/firewall, middleware, frameworks, algorithms, automated material handling systems, and/or applications for mission critical distributed enterprise systems spanning a large number of clients/servers and applications across multiple operating systems, specific technology, product/platform, or Manufacturing segment. Integrates, supports, and sustains Factory Automation software systems to ensure reliable and efficient manufacturing operations. Applies advanced troubleshooting techniques to diagnose and resolve automation system issues, minimizing system downtime and improving overall system performance. Drives continuous improvement initiatives to achieve automation system health goals, enhance system reliability, and support emerging manufacturing capability requirements. Serves as the automation subject matter expert for designated automation systems, representing system integration needs and collaborating with cross-functional and cross-site teams to drive solutions. Supports automation system monitoring tools, system validation, software testing, troubleshooting, and software quality control activities. Partners with Virtual Factory teams and relevant stakeholders to facilitate knowledge sharing, issue resolution, and continuous improvement across manufacturing sites. Provides 24x7 production support through a rotating day and night shift schedule, working 12-hour shifts (AA, BB, CC, DD rotation) to ensure continu

NVIDIA’s Networking Software Group is rapidly growing, and we are hiring software Engineer's for the Ethernet Switch SDK Development team. Come and join a diverse group of engineers spread across the globe who come together in small close knit teams to innovative and develop groundbreaking solutions. The SDK enables our customers to build state of the art datacenter switch/router software solutions over NVIDIA's Spectrum family of ASICs. The scope of these efforts include a combination of crafting and implementing new solutions, defining open-source APIs, performance analysis and tuning across multiple product lines. Teams utilize the latest software engineering methodologies and tools to release on time. Are you ready for this challenge? What you’ll be doing: Design, develop, optimize and maintain APIs, tools and libraries for Switching, Routing, Analytics, Telemetry and more. Collaborate with team members, Architects, QA teams, and customers (both external and internal) Innovate & rapidly develop POC prototypes that can then be developed into full fledged products/solutions What we need to see: B.Sc in Software Engineering / Computer Science / related field. 2&#43; years of experience in C Programming, with a keen eye for performance and writing efficient code. Strong analytical skills, knowledge of algorithms and proficient with data structures. Excellent communication and documentation skills. Ways to stand out from the crowd: Previous experience with Ethernet Switching or Routing protocols. Hands on Linux development, user-space and/or kernel-space. It’s not just technology though! It is our people, some of the brightest in the world. At the center of NVIDIA's culture are our core values like innovation, perfect

About the Team The Intelligence & Investigations Engineering team builds systems that detect, analyze, and disrupt abuse across OpenAI’s products. We partner closely with the Child Safety team and cross-functional groups to protect users while advancing OpenAI’s goal of developing AI that benefits everyone. About the Role As a Fullstack Engineer focused on child safety, you’ll build data-intensive, AI-powered applications and infrastructure that enable operators and investigators to work effectively and responsibly. You’ll adapt quickly in ambiguous, fast-moving environments to deliver well-crafted, reliable tooling for high-severity safety work. *Candidates should understand this role involves exposure to sensitive and egregious content. In this role, you will: 7+ years of experience as a software engineer Prototype, build, and maintain intelligence systems that detect, triage, and enable efficient human review of possible high severity harm Work hand in hand with operators and investigators, designing and delivering systems that enable them to do their work faster, more accurately, and more safely. Develop across the stack: UIs, services, pipelines, and anything else required to solve the problems we face. Interact with partners across Product Policy, Platform Integrity, Safety Systems, and Research Contribute to the team’s technical strategy, especially for child safety related tools and systems Report on impact in a data-driven fashion You might thrive in this role if you: Have a strong software engineering foundation and enjoy owning systems end-to-end—from infrastructure and data ingestion to frontend tooling Are energized by working at the frontier of AI capabilities, integrating new models and APIs into practical systems Have experience building and operating large-scale data pipelines or search/retrieval systems Are proficient in Python and/or TypeScript, and familiar with tools like Spark, Kafka, Flink, data warehouses, and SQL Take a product-minded ap

About the Role The Enterprise Trust & Governance team builds the control plane that lets the world’s largest organizations deploy Perplexity broadly and with confidence. Computer and our agents work across a growing share of our customers’ environments, tools, and models. For administrators, that makes precise, enforceable control essential: who can do what, with which data, through which agents, and within what usage limits. This team makes those controls easy to manage, reliable and consistent across every product, and transparent to the people accountable for them. This is a product and platform engineering role with end-to-end ownership, from shaping the architecture and policy models to shipping the experiences our customers’ administrators and security teams use every day. You’ll work across product and infrastructure teams to turn complex enterprise requirements into reusable primitives and intuitive controls. The scope spans identity and provisioning, fine-grained role-based access across connectors, tool actions, and models, customer-managed encryption keys, admin APIs, audit logs, and policy and usage controls. Strong governance helps enterprises move from pilots to company-wide rollouts and gives them the confidence to entrust agents with greater responsibility over time. Key Responsibilities Own enterprise identity and provisioning, including SSO (SAML/OIDC), SCIM, WorkOS integrations, and support for identity providers such as Okta and Microsoft Entra ID. Build the permissions platform, with fine-grained roles and permissions for connectors, tool actions, models, and model effort levels, enforced consistently across products and agent workflows. Design and ship secure, well-documented admin APIs for audit logs, members, groups, roles, and settings. Build policy controls for model and feature availability, staged rollouts, model deprecations, usage and spend limits, alerts, and cost-center allocation. Build admin-facing analytics for adoption, usage,