Software development engineer jobs in Union City, CA - 11,227 jobs

Introduction SymphonyAI is at the forefront of innovation, leveraging cutting-edge artificial intelligence and machine learning technologies to transform industries and drive business growth. As a global leader in AI-powered solutions, we empower organizations to harness the full potential of data-driven insights. SymphonyAI enterprise applications rapidly deliver transformative business value across retail, CPG, financial services, manufacturing, media, Enterprise IT (SymphonyAI Summit) and the public sector. SymphonyAI combines unrivalled AI technology, vertical expertise and industry-specific data and insights into applications that drive the highest value for customers. We are one of the largest and fastest growing AI portfolios. Job Description We are seeking an Senior Performance Test Engineer to lead performance, load, stress, spike, and endurance testing for our web applications, APIs, and data platforms. The ideal candidate will have strong expertise in designing, executing, and analyzing performance tests to ensure scalability, stability, and high performance of enterprise‑grade systems. Key Responsibilities Design and implement performance test strategies covering load, stress, spike, and endurance testing for web, API, and data‑driven applications. Develop and maintain performance test scripts using leading tools (e.g., JMeter, Gatling, LoadRunner, K6). Collaborate with development, operations, and data platform teams to identify performance bottlenecks and optimize system performance. Set up and execute end‑to‑end performance test scenarios in CI/CD pipelines. Analyze test results, monitor key performance metrics (throughput, latency, resource utilisation), and provide actionable insights and recommendations. Conduct performance baselining, capacity planning, and tuning for backend systems and data pipelines. Generate detailed performance test reports and communicate findings to technical and non‑technical stakeholders. Participate in architectural reviews to ensure performance and scalability best practices are incorporated. Mentor junior testers and contribute to ongoing improvement of the performance testing framework. Required Skills and Experience 5-8 years in software performance testing with hands‑on experience in load, stress, spike, and endurance testing. Tools: Proficiency in at least one major performance testing tool (e.g., JMeter, Gatling, LoadRunner, K6, Locust). Monitoring & Analysis: Experience with APM and monitoring tools (e.g., Grafana, Prometheus, New Relic, AppDynamics, Dynatrace). Programming/Scripting: Strong knowledge of scripting in Java, Python, or JavaScript for test automation and custom metric tracking. Protocols: Strong understanding of HTTP/HTTPS, REST, WebSocket, and database connectivity. Data Platforms: Experience testing data‑heavy systems such as Hadoop, Spark, StarRocks, Iceberg, or similar distributed data platforms. Performance Engineering: Experience in result analysis, tuning JVM, database query optimisation, and cloud scaling (AWS/GCP/Azure). CI/CD Integration: Hands‑on experience integrating performance tests into pipelines (Jenkins, GitHub Actions, Azure DevOps). Soft Skills: Analytical thinking, effective communication, and problem‑solving abilities. Preferred Qualifications or Good to Have Experience with benchmarking frameworks for large‑scale data platforms. Knowledge of containerised environments (Docker, Kubernetes). Exposure to observability stacks (ELK/EFK, OpenTelemetry). Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Exposure to AI / Generative AI applications or machine learning model testing. About Us SymphonyAI Enterprise IT is part of the Symphony AI group with over 3000 talented leaders, data scientists, and other professionals incubate and build SymphonyAI Group solutions. SymphonyAI Enterprise IT, an innovative AI‑powered firm based in Palo Alto, California. Our product range includes ITSM, ITAM, digital agent, and service automation solutions. With a global footprint covering North America, Southeast Asia, the Middle East, and India, we're at the forefront of IT innovation. Recognised as an honourable mention in the 2024 Gartner Magic Quadrant for ITSM Platforms and consistently awarded as a Gartner Peer Insights Customers' Choice for five consecutive years, Summit leads the way in industry innovation. #J-18808-Ljbffr

The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics - all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners. Join us to do the best work of your career and make a profound social impact as a Principal Software Development Build Engineer in Santa Clara, California . What you'll achieve As a Principal Software Development Build Engineer, you will own and evolve CI/CD pipelines, build automation and release processes for our scale-out storage and data protection platform. You'll drive modernization of build systems, ensure fast/reliable releases and mentor junior engineers while collaborating closely with development, QA and operations. You will: Architect and optimize build/release pipelines for complex, distributed software Lead improvements in CI/CD workflows, automation, and developer productivity Troubleshoot build failures and enforce branching, versioning, and governance standards Integrate test automation and security checks into pipelines Mentor engineers and drive adoption of modern build tools and practices Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements 8+ years experience in build/release engineering or DevOps (or equivalent skill) Expertise with CI/CD platforms e.g. Jenkins, GitLab CI, GitHub Actions Proficiency in Python, Bash or Groovy for automation Experience with Git-based SCM, artifact management (Artifactory/Nexus), and containerized builds (Docker/K8s) Desirable Skills: Bachelor's or Master's degree in Computer Science, Engineering or related field Knowledge of modern build systems e.g. Bazel, CMake and cloud CI/CD Compensation Dell is committed to fair and equitable compensation practices. The base salary range for this position is $205,700-$266,200 . Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID: R283658

Why Oracle Join a team at the forefront of automation and IoT innovation within Oracle's global engineering organization. You'll have the opportunity to shape next-generation factory robotics capabilities, work with cutting-edge cloud technologies, and deliver solutions that transform how organizations operate their most critical systems. Oracle is seeking an experienced Robotics & Web Automation Engineer to help drive the next generation of intelligent factory automation. In this role, you will design, program, and optimize industrial robotic systems while integrating them into Oracle's IoT platform for advanced remote monitoring, control, and data insights. You will work closely with automation engineers, software developers, and cloud teams to deliver highly reliable, scalable, and secure automation solutions for manufacturing environments. Key Responsibilities Program, configure, and deploy industrial robots, including KUKA, FANUC, and ABB platforms, to support automated workflows. Design and implement PLC logic and controls architectures to ensure safe and efficient robotic operations. Develop scripts, tooling, and automation solutions in Python or JavaScript to enhance robot performance, diagnostics, and system integrations. Connect factory automation systems into Oracle's IoT services for remote monitoring, predictive maintenance, telemetry, and analytics. Collaborate with cross-functional engineering teams to troubleshoot issues, improve automation uptime, and optimize robotic performance. Support development of remote management frameworks allowing customers to securely monitor and update robot configurations. Document technical workflows, provide engineering insights, and participate in continuous improvement efforts. Qualifications Disclaimer Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only. US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: Medical, dental, and vision insurance, including expert medical opinion Short term disability and long term disability Life insurance and AD&D Supplemental life insurance (Employee/Spouse/Child) Health care and dependent care Flexible Spending Accounts Pre-tax commuter and parking benefits 401(k) Savings and Investment Plan with company match Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 11 paid holidays Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. Paid parental leave Adoption assistance Employee Stock Purchase Plan Financial planning and group legal Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Required Qualifications Hands-on experience with robot programming for at least one major industrial platform (KUKA, FANUC, ABB); multi-platform experience strongly preferred. Experience with PLC programming (Allen-Bradley, Siemens, or similar). Proficiency with Python or JavaScript for automation scripting, data processing, or systems integration. Strong understanding of industrial automation, workflows, and robotics safety standards. Familiarity with cloud-connected systems, edge devices, or IoT platforms. Ability to troubleshoot mechanical, electrical, and software issues in an automated environment. Preferred Skills Experience integrating industrial equipment with cloud services or APIs. Knowledge of industrial communication protocols (OPC-UA, Modbus, MQTT). Background in remote device management, telemetry pipelines, or factory digitalization projects. Exposure to CI/CD workflows, version control (Git), and automation testing. NOTE:We are unable to provide visa sponsorship for this role at this time. No candidates requiring visa sponsorship will be considered. #J-18808-Ljbffr

Now Hiring: Systems Software Engineer II 📍 Pleasanton, CA | 💰 $108,000 - $135,000 per year 🏢 About the Role We're looking for an experienced Systems Software Engineer II to join Sunbelt Controls, a leading provider of Building Automation System (BAS) solutions across the Western U.S. In this role, you'll develop and program databases, create custom graphics, and integrate control systems for smart buildings. You'll also support project startups, commissioning, and troubleshooting - working closely with project managers and engineers to deliver high-quality, energy-efficient building automation solutions. If you have a passion for technology, problem-solving, and helping create intelligent building systems, this opportunity is for you. ⚙️ What You'll Do Design and program BAS control system databases and graphics for assigned projects. Lead the startup, commissioning, and troubleshooting of control systems. Work with networked systems and diagnose LAN/WAN connectivity issues. Perform pre-functional and functional system testing, including LEED and Title 24 requirements. Manage project documentation, including as-builts and commissioning records. Coordinate with project teams, subcontractors, and clients for smooth execution. Mentor and support junior Systems Software Engineers. 🧠 What We're Looking For 2-5 years of experience in Building Automation Systems or a related field. Associate's degree in a technical field (Bachelor's in Mechanical or Electrical Engineering preferred). Proficiency in MS Office, Windows, and basic TCP/IP networking. Strong organizational skills and the ability to manage multiple priorities. Excellent communication and customer-service skills. Valid California driver's license. 💎 Why You'll Love Working With Us At Sunbelt Controls, we don't just build smart buildings - we build smart careers. As a 100% employee-owned company (ESOP), we offer a supportive, growth-oriented environment where innovation and teamwork thrive. What we offer: Competitive salary: $108K - $135K, based on experience Employee-owned company culture with a family-oriented feel Comprehensive health, dental, and vision coverage Paid time off, holidays, and 401(k)/retirement plan Professional growth, mentorship, and ongoing learning opportunities Veteran-friendly employer & Equal Opportunity workplace 🌍 About Sunbelt Controls Sunbelt Controls is a premier BAS solutions provider serving clients across multiple industries, including data centers, healthcare, education, biotech, and commercial real estate. We specialize in smart building technology, system retrofits, analytics, and energy efficiency - helping clients reduce operational costs and achieve sustainable performance. 👉 Apply today to join a team that's shaping the future of intelligent buildings. #Sunbelt #BuildingAutomation #SystemsEngineer #HVACControls #BASCareers

We're hiring a Lead Software Automation & Toolchain Engineer to join a frontier physical AI startup building autonomous systems that can experiment, reason, and discover in the real world. The team is a small, world-class group pushing beyond simulation and software-only AI. Their systems operate across a 20,000 sq ft physical intelligence factory and support a $42M federally funded program, enabling ML-driven agents to directly command real engineering tools and workflows. This role owns the automation substrate that connects AI agents to the physical world - unifying CAD, EDA, CAE, and scientific tools into clean, deterministic, agent-callable interfaces. You'll define how intelligent systems manipulate real engineering stacks at scale. What you'll do: Build reproducible adapters and automation pipelines that make heterogeneous engineering tools fully agent-callable Design structured APIs, parsers, classifiers, and fault-tolerant execution flows across CAD, EDA, CAE, and scientific toolchains Wrap commercial and open-source engineering tools into deterministic, scriptable workflows with robust validation and recovery Partner closely with ML researchers, agent systems engineers, and domain experts to automate end-to-end engineering workflows Make foundational architecture decisions in a fast-moving, first-principles environment What we're looking for: Senior or Lead-level experience automating engineering or scientific tools (e.g., CAD, EDA, CAE, CAM, COMSOL, simulation platforms) Strong systems-thinking ability across heterogeneous tools, file formats, and execution environments Proven ability to build reproducible, fault-tolerant automation pipelines and structured tool interfaces Comfort working at the boundary of software systems, ML-driven agents, and real-world engineering workflows Thrives in high-ownership, frontier research environments Location: San Francisco or Redwood City

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role We are seeking a talented Site Reliability Engineer (SRE) to join our SuperComputing team. In this role, you'll ensure the reliability, scalability, and performance of our high-performance computing (HPC) infrastructure, powering cutting-edge AI research. You'll collaborate with cross-functional teams to build and maintain systems that support massive-scale data processing and model training. You\'ll ensure Grok stays reliable for millions while inventing new approaches at the intersection of SRE and cutting-edge AI to help define the future of AI reliability engineering. What You'll Do Design, implement, and maintain robust, scalable infrastructure for supercomputing environments. Monitor and optimize system performance, ensuring high availability and minimal downtime. Develop automation tools and scripts to streamline operations and improve system reliability. Troubleshoot complex issues across distributed systems, networks, and storage solutions. Collaborate with AI researchers and engineers to support compute-intensive workloads. Implement security best practices to protect sensitive data and infrastructure. Contribute to capacity planning and disaster recovery strategies. Participate in an on-call rotation to ensure 24/7 system reliability. Ideal Experiences Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). 3+ years of experience in site reliability engineering, DevOps, or systems engineering. Proficiency in Linux system administration and scripting (e.g., Python, Bash). Experience with containerization (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP, Azure). Strong understanding of networking, distributed systems, and storage technologies. Familiarity with HPC environments, GPU clusters, or large-scale data processing. Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. Strong communication skills and a collaborative mindset. Bonus: Experience with Infrastructure as Code (e.g., Terraform, Ansible) or monitoring tools (e.g., Prometheus, Grafana). Location This role is based in the Bay Area (San Francisco and Palo Alto). Candidates are expected to be located near the Bay Area or open to relocation. Tech Stack Languages: Rust, Python, C++, Golang Interview Process Application Review: Submit your CV and a statement of exceptional work. Our team will review your application to assess fit. Phone Interview (45 minutes): A brief conversation with a team member to discuss your background, key accomplishments, and motivation. Main Interview Process 1 Coding assessment: Solve problems in Rust, Python, C++, or Golang 1 Skill Specific Technical Interview: Demonstrate practical skills in a live problem-solving session. 1 SRE/System Case Study: Analyze and solve a complex, real-world system design or operational problem, demonstrating your technical expertise, problem-solving skills, and ability to optimize system reliability and performance. Project Deep-Dive: Present your past exceptional work to a small audience. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice #J-18808-Ljbffr

Top 3 Hard Skills Required Years of Experience 1. Minimum 5 years experience with access control module or another component on testing and diagnosis 2. Minimum 5 years experience with Linux 3. Minimum 5 years experience with Vector tool We are seeking a Software Support Engineer with 5 years of experience to join our connectivity team and contribute to the development of stable software solutions. In this role you will gain hands-on experience with Over-The-Air OTA updates vehicle charging and troubleshooting connectivity issues. You will be also working with infotainment software system issues with multiple team for their own domain. Youll also assist in testing some of the key infotainment feature along with development. One another key responsibility is interacting with internal and external customer about issues and debugging them along with development team and provide solutions for field service engineering team. Having work experience on TCU and Infotainmnet would be additional point. Responsibilities: Working with infotainment development team to understand and document issues to help field issues. Documenting steps clearly for knowledge transfer purposes. Assist in performing OTA updates to vehicles and ensure smooth rollouts. Help identify and troubleshoot connectivity issues involving LTE WiFi GPS and networking. Participate in testing connectivity features and document results. Collaborate with the team to develop an understanding of vehicle networks and connectivity platforms. Gain exposure to vehicle communication protocols e.g. CAN and CANoe. Contribute to the maintenance of test infrastructure Document issues clearly and coordinate with developers to resolve them efficiently. Key Skills Knowledge Areas: Basic understanding of LTE WiFi GPS and networking concepts. Familiarity with vehicle communication protocols and embedded systems CAN knowledge is a plus. Interest in Linux systems and embedded software testing. Strong analytical and problem-solving skills. Effective team collaboration and communication skills written and verbal. Qualifications: 5 years of experience in support engineering system testing or a related field. Bachelors degree in Computer Science Electrical Engineering or related field or equivalent experience. Exposure to embedded systems vehicle diagnostics or connectivity technologies is preferred. Eagerness to grow and learn from hands-on work in automotive software testing and debugging

Contract IT Role: Senior Developer - Embedded Wi-Fi Duration: 6+ Months BGV will be done for the selected candidates. 8+ years of experience in Embedded Software Development in C/Linux Environment Qualifications Expertise in Wi-Fi chipset Driver Development / Porting / Integration Domain Knowledge in 802.11 a/b/g/n/ac Expertise in Wi-Fi open source components - LwIP, WPA Supplicants, D‑Bus, ConnMan Expertise in C Programming Preferred Experience in Wi-Fi chipsets from Broadcomm Work Experience in Chipset Provider, OEM, SOC companies Application Details Please respond with your word resume and requested details: Full Name Work Authorization Contact Number Email ID Skype ID Current location Willing to relocate Rate/hr All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr

We're seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You'll help design, implement, and scale full stack web applications that are secure, performant, and user-centric. Responsibilities Architect, build, and maintain backend services using Python (FastAPI, Flask, Django) Design and implement dynamic and responsive frontends using React.js and/or Vue.js Create and consume RESTful and GraphQL APIs Build reusable components and libraries for frontend use Collaborate across teams to gather requirements, define solutions, and ensure quality Optimize performance and scalability of applications Write unit, integration, and end-to-end tests across the stack Participate in peer code reviews and provide mentorship where appropriate Required Qualifications 5+ years of experience in full stack development M.S. degree in relevant domain required Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django) Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand) Experience with Vue.js or interest in working across multiple frontend frameworks Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design Strong understanding of RESTful services, API security, and performance optimization Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis) Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI) Strong communication skills and a collaborative approach to engineering Preferred Qualifications Familiarity with TypeScript Experience with cloud platforms (AWS, GCP, or Azure) Experience with Docker, Kubernetes, or container orchestration GraphQL and Apollo Client experience Familiarity with microservice architecture Experience working with real-time data (WebSockets, MQTT)

💻 Staff / Principal Software Engineer - AI Platform (LLMs & RAG) 📋 GenAI Healthcare 📍 Hybrid in SF 💸 Competitive base + hefty bonus We are working with a pioneering generative AI-native health company revolutionizing hyper-personalized care. Its precision care platform enabling a new era of whole-person care through generative and predictive intelligence. They tap into cutting-edge resources, have an extensive dataset covering 100s million patients and a network of 1.8 million healthcare professionals. We are seeking a Staff / Principal Software Engineer to provide technical leadership in building, scaling, and operating LLM-powered healthcare applications, with a strong emphasis on RAG, knowledge systems, and AI-native backend architectures. Responsibilities: Design, build, and evolve scalable LLM-based systems, including RAG pipelines, prompt orchestration, embedding strategies, vector search, and inference workflows. Develop AI services that operate on healthcare and clinical data while respecting FHIR, HL7, HIPAA, and other regulatory and compliance requirements. Partner closely with clinical, product, and data science teams to translate real-world clinical workflows Build and maintain backend services and APIs supporting LLM inference, evaluation, observability, and lifecycle management Establish best practices for prompt management, model versioning, human-in-the-loop workflows, and continuous improvement using feedback signals. Act as a technical authority across teams, influencing architecture decisions and long-term platform strategy. Mentor senior and mid-level engineers, set engineering standards, and raise the bar on system design and code quality. Work closely with data engineering, data science, security, and product leadership to align AI capabilities with business and clinical objectives. Minimum Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 7+ years of professional software engineering experience, with 2+ years working directly with LLM-based systems in production environments. Hands-on experience designing and deploying RAG architectures Strong proficiency in Python and experience with modern backend stacks Experience working in healthtech, healthcare, life sciences, or clinical data environments, including exposure to regulated data. Proven ability to design systems that are scalable, secure, observable, and maintainable. Preferred Qualifications: Experience integrating LLMs with EHR data, clinical guidelines, prior authorization rules, quality measures, or real-world evidence datasets. Familiarity with LLM evaluation tooling and frameworks Experience with cloud-native architectures and containerized deployments 📧 Interested in applying? Please click on the ‘Easy Apply' button

Location: San Jose (full time onsite) Engagement: Contract (1099 or W2) Duration: 6-12 months FTE conversion thereafter. Hourly rate: The focus is on finding the right person, therefore open to market rate. Overview In this senior leadership capacity, you will spearhead the engineering of sophisticated flight emulation platforms designed for rigorous system certification and pilot-interaction studies. You will be responsible for modernizing deployment workflows through automated integration cycles and partnering with multidisciplinary teams to synchronize physical components within synchronized, real-time testing frameworks. By overseeing the full lifecycle of virtualized environments-ranging from component-level benches to full-scale "Iron Bird" rigs-you will ensure simulation accuracy by reconciling digital outputs with empirical data from live flight operations. Beyond the technical architecture, you will define the UI strategy for simulation control, manage the resolution of intricate distributed system anomalies, and cultivate a culture of elite technical mentorship and strategic project execution. Requirements: Expert experience in simulation software development and systems integration. Bachelor's or higher degree in Aerospace, Software, Electrical Engineering, Computer Science, or a related field. Seasoned technical lead for an engineering team; providing guidance in planning and execution. Advanced proficiency in C/C++ and Python. Expert in MATLAB/Simulink and Python. Extensive experience developing real-time HIL test infrastructures. Proven ability to develop simulation tools with a focus on usability, modularity, and performance. Expert of communication standards and protocols (RS-422/485, CAN/CAN-FD, ARINC-429, Ethernet, TCP/IP, USB etc…) Experience prototyping Graphical User Interfaces based on user feedback. Knowledgeable with software engineering practices including CI/CD (GitHub Actions, Jenkins), test-driven development, and agile methodologies. Strong problem-solving and debugging skills with a proactive, solutions-oriented mindset. Comfortable working in cross-disciplinary teams and mentoring junior engineers. Preferred Qualifications Experience with aerospace, spacecraft, or robotics systems-including modeling of flight dynamics, sensor-actuator loops, or avionics. Proficiency in the NI software suite (LabVIEW, VeriStand). Experience developing and troubleshooting custom code (i.e. plugins, logical devices, custom devices) for real-time OS Background in simulation infrastructure for VTOL, rotorcraft, or autonomous vehicles. Understanding of control theory, GNC algorithms, and physics-based modeling. Hands-on experience with HIL/SIL test rigs, hardware communication protocols, and test instrumentation. Exposure to regulatory frameworks (FAA, DoD, NASA) and test certification environments. Startup or fast-paced development experience is a plus. Experience automating and executing test plans. Familiarity with fault injection methodologies. Familiarity with lab

We're partnering with a fast-growing healthcare AI company building production-grade software that connects advanced machine-learning models directly into real clinical workflows. This role sits at the intersection of full-stack engineering, cloud infrastructure, and data-intensive systems supporting clinician-facing applications. You'll work on systems that handle voice-driven clinical documentation, structured report generation, and backend services that operate at scale in a regulated environment. What You'll Work On: Build and operate full-stack services supporting clinician workflows and AI-powered applications Develop systems that transform voice dictation and model outputs into structured clinical reports Create workflows for drafting, editing, and final clinician sign-off Design and maintain low-latency, scalable backend services in the cloud Work with large volumes of structured and unstructured data, including metadata and model outputs Partner closely with machine-learning and infrastructure teams to bring inference into production Own services end-to-end: design, implementation, deployment, and ongoing reliability What We're Looking For: Demonstrated ability to build and ship full-stack systems in production environments Experience designing, deploying, and operating cloud-based services (AWS preferred) Comfort owning API-driven, data-intensive systems Experience working with distributed systems and production reliability concerns Familiarity with a modern backend stack, such as: AWS (e.g., EC2, S3, ECS/EKS, IAM, monitoring/logging tools) Python-based backend services (e.g., FastAPI or similar frameworks) Relational databases (e.g., PostgreSQL or equivalent) Strong ownership mindset and sound engineering judgment This team is not credential-driven - they value clear evidence of impact, technical depth, and the ability to own complex systems. Nice to Have: Experience with report generation, document workflows, or structured text pipelines Exposure to ML inference pipelines or AI-powered production systems Background working in healthcare or other regulated environments

We are the Product Systems Quality team and we are looking for a highly motivated and experienced automation engineer with a passion for delivering robust, inclusive, and state-of-the-art Computer Vision and Machine Learning algorithms in Apple's next generation of products. You'll enjoy working on a team of quality engineers with a diverse group of backgrounds as we refine the model pipelines that power Apple's trademark simple and intuitive user experience. Come be a part of our team and use both creativity and technical expertise to bring experiences to life that our customers love! Description We are seeking an experienced Automation Engineer to lead the design and implementation of data collection and evaluation pipelines for Apple's ML systems. In this role, you will design, develop and maintain automation frameworks and validation pipelines for machine learning models. Your work will require close partnership with algorithm development teams to build tools for analyzing and visualizing data, evaluate and represent the true customer experience, design and implement experiments for engineering studies. You will develop and execute validation strategies to ensure the models meet accuracy & reliability requirements as well as create visualization for comparing model validation results across configurations to enable root cause analysis for failures. You'll have opportunity to take ownership of issues, drive them to resolution and continuously improve tests and processes with a drive towards innovation and automation. You'll be working through every step of the product development cycle and will help make Apple products more reliable, flexible, and easy to use. Minimum Qualifications Bachelor's degree or equivalent in Computer Science, Machine Learning or related field A minimum of 3 years of hands-on industry experience developing or validating ML/AI systems Proficiency in Python with strong background in test automation and test infrastructure design Experience in working with large datasets for testing products utilizing computer vision, machine learning Ability to communicate effectively and collaborate with partner teams Preferred Qualifications 5 or more years of ML industry experience, including time spent debugging or improving deployed models Experience with analytical tools such as Jupyter, Pandas, NumPy, Matplotlib Experience in training models using frameworks like PyTorch, TensorFlow Data analysis, visualization, and reporting experience with tools such as Tableau, or Splunk At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics - all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners. Join us to do the best work of your career and make a profound social impact as a Principal Software Development Build Engineer in Santa Clara, California . What you'll achieve As a Principal Software Development Build Engineer, you will own and evolve CI/CD pipelines, build automation and release processes for our scale-out storage and data protection platform. You'll drive modernization of build systems, ensure fast/reliable releases and mentor junior engineers while collaborating closely with development, QA and operations. You will: Architect and optimize build/release pipelines for complex, distributed software Lead improvements in CI/CD workflows, automation, and developer productivity Troubleshoot build failures and enforce branching, versioning, and governance standards Integrate test automation and security checks into pipelines Mentor engineers and drive adoption of modern build tools and practices Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements 8+ years experience in build/release engineering or DevOps (or equivalent skill) Expertise with CI/CD platforms e.g. Jenkins, GitLab CI, GitHub Actions Proficiency in Python, Bash or Groovy for automation Experience with Git-based SCM, artifact management (Artifactory/Nexus), and containerized builds (Docker/K8s) Desirable Skills: Bachelor's or Master's degree in Computer Science, Engineering or related field Knowledge of modern build systems e.g. Bazel, CMake and cloud CI/CD Compensation Dell is committed to fair and equitable compensation practices. The base salary range for this position is $205,700-$266,200 . Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID: R283658

We're hiring a Lead Software Automation & Toolchain Engineer to join a frontier physical AI startup building autonomous systems that can experiment, reason, and discover in the real world. The team is a small, world-class group pushing beyond simulation and software-only AI. Their systems operate across a 20,000 sq ft physical intelligence factory and support a $42M federally funded program, enabling ML-driven agents to directly command real engineering tools and workflows. This role owns the automation substrate that connects AI agents to the physical world - unifying CAD, EDA, CAE, and scientific tools into clean, deterministic, agent-callable interfaces. You'll define how intelligent systems manipulate real engineering stacks at scale. What you'll do: Build reproducible adapters and automation pipelines that make heterogeneous engineering tools fully agent-callable Design structured APIs, parsers, classifiers, and fault-tolerant execution flows across CAD, EDA, CAE, and scientific toolchains Wrap commercial and open-source engineering tools into deterministic, scriptable workflows with robust validation and recovery Partner closely with ML researchers, agent systems engineers, and domain experts to automate end-to-end engineering workflows Make foundational architecture decisions in a fast-moving, first-principles environment What we're looking for: Senior or Lead-level experience automating engineering or scientific tools (e.g., CAD, EDA, CAE, CAM, COMSOL, simulation platforms) Strong systems-thinking ability across heterogeneous tools, file formats, and execution environments Proven ability to build reproducible, fault-tolerant automation pipelines and structured tool interfaces Comfort working at the boundary of software systems, ML-driven agents, and real-world engineering workflows Thrives in high-ownership, frontier research environments Location: San Francisco or Redwood City

We're seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You'll help design, implement, and scale full stack web applications that are secure, performant, and user-centric. Responsibilities Architect, build, and maintain backend services using Python (FastAPI, Flask, Django) Design and implement dynamic and responsive frontends using React.js and/or Vue.js Create and consume RESTful and GraphQL APIs Build reusable components and libraries for frontend use Collaborate across teams to gather requirements, define solutions, and ensure quality Optimize performance and scalability of applications Write unit, integration, and end-to-end tests across the stack Participate in peer code reviews and provide mentorship where appropriate Required Qualifications 5+ years of experience in full stack development M.S. degree in relevant domain required Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django) Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand) Experience with Vue.js or interest in working across multiple frontend frameworks Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design Strong understanding of RESTful services, API security, and performance optimization Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis) Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI) Strong communication skills and a collaborative approach to engineering Preferred Qualifications Familiarity with TypeScript Experience with cloud platforms (AWS, GCP, or Azure) Experience with Docker, Kubernetes, or container orchestration GraphQL and Apollo Client experience Familiarity with microservice architecture Experience working with real-time data (WebSockets, MQTT)

💻 Staff / Principal Software Engineer - AI Platform (LLMs & RAG) 📋 GenAI Healthcare 📍 Hybrid in SF 💸 Competitive base + hefty bonus We are working with a pioneering generative AI-native health company revolutionizing hyper-personalized care. Its precision care platform enabling a new era of whole-person care through generative and predictive intelligence. They tap into cutting-edge resources, have an extensive dataset covering 100s million patients and a network of 1.8 million healthcare professionals. We are seeking a Staff / Principal Software Engineer to provide technical leadership in building, scaling, and operating LLM-powered healthcare applications, with a strong emphasis on RAG, knowledge systems, and AI-native backend architectures. Responsibilities: Design, build, and evolve scalable LLM-based systems, including RAG pipelines, prompt orchestration, embedding strategies, vector search, and inference workflows. Develop AI services that operate on healthcare and clinical data while respecting FHIR, HL7, HIPAA, and other regulatory and compliance requirements. Partner closely with clinical, product, and data science teams to translate real-world clinical workflows Build and maintain backend services and APIs supporting LLM inference, evaluation, observability, and lifecycle management Establish best practices for prompt management, model versioning, human-in-the-loop workflows, and continuous improvement using feedback signals. Act as a technical authority across teams, influencing architecture decisions and long-term platform strategy. Mentor senior and mid-level engineers, set engineering standards, and raise the bar on system design and code quality. Work closely with data engineering, data science, security, and product leadership to align AI capabilities with business and clinical objectives. Minimum Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 7+ years of professional software engineering experience, with 2+ years working directly with LLM-based systems in production environments. Hands-on experience designing and deploying RAG architectures Strong proficiency in Python and experience with modern backend stacks Experience working in healthtech, healthcare, life sciences, or clinical data environments, including exposure to regulated data. Proven ability to design systems that are scalable, secure, observable, and maintainable. Preferred Qualifications: Experience integrating LLMs with EHR data, clinical guidelines, prior authorization rules, quality measures, or real-world evidence datasets. Familiarity with LLM evaluation tooling and frameworks Experience with cloud-native architectures and containerized deployments 📧 Interested in applying? Please click on the ‘Easy Apply' button

A leading technology company is seeking a Machine Learning Validation Automation Engineer in Cupertino, CA. In this role, you will design and implement data collection and evaluation pipelines for machine learning systems. The ideal candidate has a Bachelor's degree in Computer Science, at least 3 years of industry experience with ML systems, and proficiency in Python. This position offers competitive pay between $147,400 and $272,100, rich benefits, and opportunities for professional development. Join us to shape the future of Apple's user experiences. #J-18808-Ljbffr

The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics - all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners. Join us to do the best work of your career and make a profound social impact as a Principal Software Development Build Engineer in Santa Clara, California . What you'll achieve As a Principal Software Development Build Engineer, you will own and evolve CI/CD pipelines, build automation and release processes for our scale-out storage and data protection platform. You'll drive modernization of build systems, ensure fast/reliable releases and mentor junior engineers while collaborating closely with development, QA and operations. You will: Architect and optimize build/release pipelines for complex, distributed software Lead improvements in CI/CD workflows, automation, and developer productivity Troubleshoot build failures and enforce branching, versioning, and governance standards Integrate test automation and security checks into pipelines Mentor engineers and drive adoption of modern build tools and practices Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements 8+ years experience in build/release engineering or DevOps (or equivalent skill) Expertise with CI/CD platforms e.g. Jenkins, GitLab CI, GitHub Actions Proficiency in Python, Bash or Groovy for automation Experience with Git-based SCM, artifact management (Artifactory/Nexus), and containerized builds (Docker/K8s) Desirable Skills: Bachelor's or Master's degree in Computer Science, Engineering or related field Knowledge of modern build systems e.g. Bazel, CMake and cloud CI/CD Compensation Dell is committed to fair and equitable compensation practices. The base salary range for this position is $205,700-$266,200 . Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID: R283658