Software Product Reliability Engineer Jobs

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

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.

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

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++ native execution of Spark operations on CUDA Develop CUDA/C++ 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

Data Fusion Systems Software Engineer/Analyst (Associate, Experienced or Senior) Company: The Boeing Company The Boeing Company is currently seeking a Systems Software Engineer (Associate, Experienced or Senior) to support our Software Development team within the Phantom Works Network Centric Operations team in Berkeley, Missouri (St. Louis, MO area). This position will focus on supporting the Boeing Defense, Space & Security (BDS) Software Engineering organization. Our teams are currently hiring for a broad range of experience levels including; Associate, Experienced and Senior Level Software Engineers. The Network Centric Operations Team designs, develops, and implements platform-agnostic software capabilities that enable network operations for tactical fighter aircraft. As a Data Fusion Software Engineer, you’ll develop and prototype advanced sensor-fusion algorithms, applying mathematical and statistical techniques to track and combine data from multiple sensors and sources. You’ll evaluate algorithm performance against key performance indicators (KPIs) and partner with the software architect to transition successful prototypes into production-ready capabilities. We’re looking for a collaborative, accountable professional who is committed to customer satisfaction and continuous process improvement. The successful candidate will thrive in a multi-contract, multi-program environment and apply ingenuity and innovation to complex challenges. You should be adaptable and eager to learn new technologies in evolving development environments. You’ll bring a strong foundation in mathematics and the ability to translate theoretical concepts into practical, real-world solutions, along with the drive to solve difficu

We are looking for a Sr. Engineer to design, build, and scale the infrastructure powering NVIDIA’s AI agent ecosystem. You will work at the intersection of distributed systems, developer platforms, and agentic AI — building the foundational services that enable teams across the company to develop, deploy, orchestrate, and operate autonomous AI agents at production scale. What you will be doing: Build and develop platform services that manage the full agent lifecycle from registration through deployment, execution, and teardown Architect multi-tenant Kubernetes execution environments with pod lifecycle management, per-tenant namespace isolation, persistent storage, admission policy enforcement, and identity propagation Develop and maintain automated CI/CD pipelines using GitLab CI and ArgoCD, including reusable pipeline templates and deployment blueprints that standardize how agents are built across teams Build framework-agnostic infrastructure supporting multiple agent SDKs and harnesses — lifecycle hooks, skills configuration, memory services, and OTEL instrumentation — so teams can onboard new agent frameworks without platform changes Build and operate Kafka-based message pipelines and real-time event streaming using Redis PubSub and SSE Develop data ingestion pipelines, access interfaces, and storage layers that power AI agent knowledge and context Implement session management for state persistence, conversation history, and agent recovery across sessions Develop multi-layer auth using OAuth 2.0, JWT validation, token exchange, and gateway integration, and manage secrets lifecycle with Vault (provisioning, rotation, container injection) Partner with security teams on compliance, access controls, and approval workflows for agent operations What we need to see: Bachelor's or Master's degree in Computer Science, Engineering, or

As a Robotics Software Engineer on the Isaac Applications Team, you will bring together the software and hardware that enable Physical AI robots to operate in the real world. You will build working robotic systems and end-to-end workflows for engineers and AI agents. These workflows connect data, simulation, and real-world deployment to continuously expand and improve robot capabilities. We’re looking for strong software engineering skills, broad robotics knowledge, and enthusiasm for working hands-on with physical robots when taking ideas into practice. You enjoy understanding how components interact, solving problems across their boundaries, and seeing them come together to deliver new robot capabilities. What you will be doing: Lead the forefront of Physical AI progress in both simulated and real humanoid robots by building the humanoid reference platform that features NVIDIA's robotics technologies. Build end-to-end workflows to develop, evaluate, and deploy increasingly autonomous and interactive robot capabilities. Extend our platform to new robot embodiments and demonstrate its adaptability through hands-on integration and validation. Address real-world compute, latency, and bandwidth constraints on physical hardware. Collaborate across teams in Shanghai, America, and Europe to connect capabilities and deliver reliable robotic systems. What we need to see: Master’s degree in Computer Science, Robotics, Engineering, or a related field (or equivalent experience). 8+ years of relevant industry experience working on robotics software. Hands-on experience integrating, deploying, and testing software on physical robots, and confidence working directly with hardware when needed. Experience deploying and evaluating learned policies to control physical robots. Broad working knowledge of robotics software, hardware, AI, an

Job Title Senior/Staff Software Engineer with C++ - Drivers, Diagnostic, & Embedded Software (San Diego, CA) Job Description Senior/Staff Software Engineer with C++ - Drivers, Diagnostic, & Embedded Software (San Diego, CA) You have the opportunity to work on the development of Intravascular Ultrasound Systems. As a member of a cross-functional team, you will 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 driver, diagnostic, and 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, develop, and debug driver software and embedded software to implement communication between hardware and application software using C++. You're the right fit if: You have 8 + years of experience in software/embedded software development, preferably in the field of medical electronics. You are experienced with object-oriented programming languages design, and coding. Strong C++ and experience in a Windows environment are required. You earned a BS or MS in Computer Science, Electrical Engineering, Biomedical Engineering, or related field. You’ve gained industry experience creating detailed design documentation (specifications, design descriptions, verification and testing plans). Having knowledge of digital signal and

NVIDIA DGXC Storage team handles some of the fastest training and inference tasks. Every GPU cycle depends on a storage platform built to keep tens of thousands of accelerators continuously busy. It maintains exabytes of data securely and powers the largest AI workloads worldwide across cloud, neocloud, and on-prem setups. With the growth of accelerated computing, storage is essential. It can make the difference between effective GPU use and wasted potential, and between launching a frontier model on time or missing the deadline by months. We’re looking for a hands-on Storage Software Engineer to join the storage team as an individual contributor and technical lead. You will contribute to open-source parallel and distributed file systems and keep our largest GPU clusters fast, reliable, and durable. You will stay deeply hands-on: writing and reviewing production code, chasing root causes in the field, and setting the configuration and tuning standards our GPU fleets run on. This is a chance to do foundational storage engineering for the AI era at the company that introduced accelerated computing. What you’ll be doing: Contribute to open-source file systems. Contribute code to open-source parallel and distributed file systems, and distributed object storage. Upstream fixes and features, and engage directly with the upstream communities and maintainers. Serve as a hands-on storage software lead. Write and review production code yourself, and read kernel, NFS, NVMe-oF, or SPDK source when a bug requires it. Make the final technical calls on storage deliveries against measurable targets. Triage and troubleshoot at scale. Triage, troubleshoot, and root-cause large, complex storage issues across very large GPU clusters (tens of thousands of GPUs) — I/O and metadata performance, data corruption, and recovery. Validate architecture and capabilities. Validate storage architecture, capabilities, performance, and durabil

NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. NVIDIA data center systems have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA Networking, NVIDIA Data Center CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are seeking an excellent Senior System Engineer to work on bring up, integration, validation and troubleshooting for compute tray platforms of GPU Racks — ensuring servers are fully functional and validated as per requirement before mass deployment in data centers. What you’ll be doing: Working with a global team of architects and developers on NVIDIA AI server system (CPU, GPU, Memory, NIC, PCIe, NVMe SSD, Cooling, etc.) designs. Working closely with hardware teams to influence hardware system design, reviewing schematics and board design to ensure speed of light execution. Using simulation and emulation to left-shift early design and initiate new concepts and innovations. Hands on debug and support of early server prototypes bring-up and power on test debug in datacenter system labs. Factory and Manufacturing support: Support manufacturing flows, firmware updates, and diagnostic procedures. Ensure BOM change signoff and proc

Job Description Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. Citi's Equities Technology organization is seeking a Software Engineer to join the Equities Electronic- Execution (Electronic Trading) technology team. The person in this role will be responsible for the design, development, and delivery of Citi's next-generation low-latency execution platform. This platform encompasses c

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We focus on building and enhancing tools and systems that empower our developers, sales, and support teams. As a Backend Engineer on our team, you'd focus on designing new tools and improving quality of existing ones. Whether you’re early in your career or bring years of experience, there’s an opportunity to make a significant impact. We are committed to a thriving in-office culture. This role requires you to be onsite at our HQ in San Mateo, CA. What You'll Do Doing common actions in the cloud rather than from developer machines Improving handling of licenses Separating the monolith support tool into smaller a more manageable tools Improving the feature flags system Building tools that use AI Building tools to improve security and privacy Contributing to open-source systems used by Verkada What You Bring Must have a BS, MS, or PhD