Test engineer jobs in Dublin, CA - 8,630 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

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

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

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

A robotics company in Palo Alto is looking for an experienced engineer to integrate dexterous hands into humanoid robots. The role requires 6+ years of experience with robotic actuators and proficiency in C++ and Python. You will work on sensor integration, debugging, and ensuring the performance of robotic systems. Comprehensive health benefits and competitive salary included, with total compensation ranging from $160k to $240k. #J-18808-Ljbffr

Shyld AI is building Physical AI systems that operate autonomously in hospitals to reduce infections and improve clinical workflows. Our platform combines sensing, embedded systems, AI, and hardware deployed in real clinical environments. We are looking for a hands-on Hardware Systems & Test Engineer to help us design, test, validate, and deploy reliable hardware systems at scale. This role sits at the intersection of hardware testing, QA, system integration, and field deployment, and will play a critical role in ensuring our devices perform safely and reliably in hospitals. What You'll Do Own hardware testing and system-level validation for Shyld AI devices Define and execute hardware QA processes, including incoming inspection, functional testing, and reliability testing Assist with hardware design and bring-up, including schematic reviews, PCB bring-up, and system integration Work closely with suppliers and contract manufacturers, helping manage technical communication, troubleshooting, and design iterations Organize and maintain the hardware lab, including test fixtures, tools, inventory, and documentation Debug and troubleshoot hardware, firmware, and system-level issues in both lab and field environments Evaluate, prototype, and test new sensors and hardware components Support device installations at customer sites, including setup, validation, and troubleshooting in hospital environments Create clear documentation for test procedures, installation workflows, and field learnings What We're Looking For 3+ years of hands-on experience in hardware testing, system integration, or hardware engineering Strong experience debugging real hardware systems (not just simulations) Comfortable working across hardware, firmware, and software boundaries Experience with lab tools such as oscilloscopes, multimeters, power supplies, logic analyzers Familiarity with embedded systems, sensors, and communication interfaces (I2C, SPI, UART, USB, Ethernet, etc.) Ability to communicate clearly with suppliers and manufacturing partners Comfortable traveling to customer sites and working hands-on in the field Highly organized, detail-oriented, and ownership-driven Nice to Have Experience with medical devices, robotics, or safety-critical systems Exposure to manufacturing, DFM, or production test Experience bringing up new sensors or evaluating hardware components Familiarity with regulated or compliance-driven environments Python or scripting experience for test automation Why Join Shyld AI Work on real hardware deployed in hospitals, not demos High ownership and direct impact on product reliability and customer success Small, fast-moving team with strong technical depth Opportunity to grow into Technical Operations or Hardware Lead roles over time

A global technology leader seeks an experienced engineer to develop AI-driven services and APIs for its hybrid, multi-cloud environment. Ideal candidates will have 5+ years in backend or distributed systems and proficiency in modern programming languages like Python or TypeScript. Responsibilities include implementing features for GenAI services and collaborating on product development. Competitive salary range of $181,000 to $235,000 and robust benefits are offered. #J-18808-Ljbffr

A technology company is seeking a Platform Validation Engineer to ensure the reliability and performance of their GPU servers. This role involves developing test plans, debugging hardware and software interactions, and automating validation workflows. Candidates should have a Bachelor's or Master's degree in EE or CS with over 5 years of experience in GPU server platform validation. The position offers a hybrid work model at the Santa Clara headquarters. #J-18808-Ljbffr

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

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary As an engineer focusing on cellular and wireless integration for the Connected Systems Integration Team at R|V Tech, you will work alongside software developers, systems integrators, and system engineers to support features such as cellular, WiFi, Ethernet and GPS domains along with telematics, mobile app integration, and other Internet-dependent vehicle features, with a primary focus on cellular systems integration and bring-up. The cellular and wireless integration engineer will execute tests and integration of connectivity features and will also contribute to automation of these tests (in Python). The cellular and wireless integration engineer may also support other vehicle development activities which require connectivity support. These development activities may include drives in pre-production vehicles and will provide exposure to vehicle networks, cloud connectivity, and fleet management. The connectivity integration engineer may support time-critical test events and may be asked to support special investigations and projects. Responsibilities Your typical day looks like this: Attend meetings with development teams to understand new system designs and to align on test plans and expectations. Create design documentation and test plans for a new cellular feature implementation. Perform cellular testing using a specialized test chamber and test equipment; work with test equipment vendors to ensure compatibility and system integrity for automation. Perform complementary cellular testing on-vehicle using a prototype or fleet vehicle. Analyze logs from internal and external bugs to assess root cause of failure and create new work scope for dev teams. Core capabilities and behaviors should include: Strong fundamentals for test execution and documentation. The ability to correlate meaningful feedback from disparate data sets. Keen observation skills of wireless (WiFi, 5G, LTE, GPS, Bluetooth) behavior and performance. Deep understanding of telematics, end-to-end data routing and validation of data fidelity and frequency over different data links. Understanding of middleware and layered/encapsulated network schemes. Native Linux proficiency (command-line, tools, bring-up); embedded Linux a plus. Ability to identify and distinguish issues in hardware and/or software. Engage in discussions to test, bug fix, and optimize feature development based on data. Qualifications Bachelor's degree in either Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or Information Systems. Good understanding of 5GNR and LTE protocol stack. A working understanding of the OSI model and network protocols. Basic proficiency with scripting languages including Python and/or Shell. Basic proficiency with database manipulation and data presentation. Triage and diagnosis of complex connectivity issues to include root cause analysis, stability, and interoperability problems. A mindset geared towards collaboration and forward progress. Ability to thrive under pressure and time constraints. Availability to travel and/or support activities during off-peak hours as-needed. Pay Disclosure Salary Range/Hourly Rate for Palo Alto, California Based Applicants: $117,000 - $149,000 USD (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full-time and part-time employees, their spouse or domestic partner, and children up to age 26. Full Time Employee coverage is effective on the first day of employment. Part-Time employee coverage is effective the first of the month following 90 days of employment. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian and VW Group Technologies (“Rivian and Volkswagen Group Technologies”) may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and VW Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. Please note that we are currently not accepting applications from third party application services. #J-18808-Ljbffr

A leading social media platform in Palo Alto is looking for a Technical Lead Manager in Ads Conversion Modeling. This role includes leading the User Match Prediction roadmap, developing conversion models, and partnering with various teams to drive performance. Ideal candidates have a strong software engineering background, machine learning knowledge, and 6+ years of relevant experience. The position offers a competitive salary and hybrid work flexibility. #J-18808-Ljbffr

Ready to play a key role in building the future of living? Join Samara in tackling California's housing shortage and enabling people to attain sustainable housing without compromising design or quality. Our flagship product, Backyard, is a fully turnkey, premium accessory dwelling unit (ADU) designed for homeowners and real estate developers. As we expand our offerings and scale our in-house development initiatives, we're at a pivotal moment, redefining homeownership through high-quality, attainable infill housing. Backed by top-tier investors, including Airbnb, Thrive Capital, and 8VC, Samara is positioned for significant growth and market impact. To support our next phase of growth, we're hiring product-focused engineers to advance and scale the technical foundation of our modular system. These roles go beyond traditional design work-they refine system standards, improve factory repeatability, and ensure our units are code-compliant, manufacturable, and built to the highest standards of quality and performance. The MEP Systems Engineer will be responsible for the detailed design and implementation of mechanical, electrical, plumbing, and PV systems tailored for modular construction building systems. This role requires a deep understanding of MEP systems combined with practical experience in modular construction. You will collaborate closely with leadership, crossfunctional design and engineering teams to integrate all technical and user experience requirements into our designs to ensure optimal functionality, sustainability, and compliance with all regulations. What You'll Do Design and develop integrated MEP systems for our new and existing designs including solar energy systems, including PV and ESS, optimized for prefabricated modular construction Ensure that solar and energy storage designs align with overall MEP system functionality and building energy requirements Lead the creation of comprehensive design documents, schematics, component material selections and system layouts, preferably using CAD and BIM software Provide technical leadership during the installation and commissioning phases to ensure systems meet design specifications and performance standards Conduct system testing and validation to ensure functionality, efficiency, and safety of both MEP and PV installations Collaborate closely with installation teams to facilitate seamless and efficient factory and onsite implementation of design Engage in research and application of the latest technologies and practices in renewable energy and modular construction Work with program managers and other engineering disciplines to ensure holistic integration of all systems within Samara modular units What We're Looking For Modular construction experience in factory builds, multi-mod, stackable and/or other hands on related experience. Licensed Electrician or Mechanical Contractor -and/or- Bachelor's degree in Mechanical, Electrical, or Energy Systems Engineering, or a related field Professional Engineering (PE) license preferred Minimum of 7 years of experience in one of the following: Mechanical, Electrical, Solar and/or Plumbing System design Comprehensive knowledge of building codes, safety regulations, and sustainability practices relevant to MEP and renewable energy systems Proficiency in design software such as Onshape, Revit, and/or other BIM methodologies preferred Excellent problem-solving skills and the ability to adapt designs to changing technological and regulatory landscapes Strong communication and leadership skills, capable of driving project decisions and managing complex stakeholder relationships Ability to travel to our factory in Mexico up to 25-40%. What We Offer Salary range of $120-160K and performance-based bonuses. Hybrid work schedule with 3 days each week in our Redwood City office. Snacks and Lunch on in-office days Early stage employee equity. Exceptional health, dental, and vision insurance. 401k eligibility after 6 months. Flexible PTO policy. How to Apply If you're excited to support Samara's mission and have the skills to match, we'd love to hear from you. Please submit your resume and a brief letter of introduction to our team. Let's build something extraordinary-together.

Who We Are At RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system-a platform designed for learning, reasoning, and prediction. We are a remote-first, globally distributed team with colleagues across six continents. From day one, we've embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn't follow a 9-to-5. We are committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of every team member and believe in fostering a culture of respect, curiosity, and innovation. We support each other's growth and success-and take the well‑being of our colleagues seriously. We encourage everyone to find a healthy balance that affords them a productive, happy life, wherever they choose to live. We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable. Machine Learning Systems Engineer Location: Remote (San Francisco Bay Area / North America / South America) Experience Level: 3+ years of experience in machine learning engineering or research About ScalarLM This role will involve heavily working with the ScalarLM framework and team. ScalarLM unifies vLLM, Megatron-LM, and HuggingFace for fast LLM training, inference, and self‑improving agents-all via an OpenAI‑compatible interface. ScalarLM builds on top of the vLLM inference engine, the Megatron‑LM training framework, and the HuggingFace model hub. It unifies the capabilities of these tools into a single platform, enabling users to easily perform LLM inference and training, and build higher‑lever applications such as Agents with a twist - they can teach themselves new abilities via back propagation. ScalarLM is inspired by the work of Seymour Roger Cray (September 28, 1925 - October 5, 1996), an American electrical engineer and supercomputer architect who designed a series of computers that were the fastest in the world for decades, and founded Cray Research, which built many of these machines. Called "the father of supercomputing", Cray has been credited with creating the supercomputer industry. It is a fully open source project (CC‑0 Licensed) focused on democratizing access to cutting‑edge LLM infrastructure that combines training and inference in a unified platform, enabling the development of self‑improving AI agents similar to DeepSeek R1. ScalarLM is supported and maintained by TensorWave in addition to RelationalAI. The Role As a Machine Learning Engineer, you will contribute directly to our machine learning infrastructure, to the ScalarLM open source codebase, and build large‑scale language model applications on top of it. You'll operate at the intersection of high-performance computing, distributed systems, and cutting‑edge machine learning research, developing the fundamental infrastructure that enables researchers and organizations worldwide to train and deploy large language models at scale. This is an opportunity to take on technically demanding projects, contribute to foundational systems, and help shape the next generation of intelligent computing. You Will Contribute code and performance improvements to the open source project. Develop and optimize distributed training algorithms for large language models. Implement high‑performance inference engines and optimization techniques. Work on integration between vLLM, Megatron‑LM, and HuggingFace ecosystems. Build tools for seamless model training, fine‑tuning, and deployment. Optimize performance of advanced GPU architectures. Collaborate with the open source community on feature development and bug fixes. Research and implement new techniques for self‑improving AI agents. Who You Are Technical Skills Programming Languages: Proficiency in both C/C++ and Python High Performance Computing: Deep understanding of HPC concepts, including: MPI (Message Passing Interface) programming and optimization Bulk Synchronous Parallel (BSP) computing models Multi‑GPU and multi‑node distributed computing CUDA/ROCm programming experience preferred Machine Learning Foundations: Solid understanding of gradient descent and backpropagation algorithms Experience with transformer architectures and the ability to explain their mechanics Knowledge of deep learning training and its applications Understanding of distributed training techniques (data parallelism, model parallelism, pipeline parallelism, large batch training, optimization) Research and Development Publications: Experience with machine learning research and publications preferred Research Skills: Ability to read, understand, and implement techniques from recent ML research papers Open Source: Demonstrated commitment to open source development and community collaboration Experience 3+ years of experience in machine learning engineering or research. Experience with large-scale distributed training frameworks (Megatron‑LM, DeepSpeed, FairScale, etc.). Familiarity with inference optimization frameworks (vLLM, TensorRT, etc.). Experience with containerization (Docker, Kubernetes) and cluster management. Background in systems programming and performance optimization. Bonus points if: PhD or MS in Computer Science, Computer Engineering, Machine Learning, or related field. Experience with SLURM, Kubernetes, or other cluster orchestration systems. Knowledge of mixed precision training, data parallel training, and scaling laws. Experience with transformer architecture, pytorch, decoding algorithms. Familiarity with high performance GPU programming ecosystem. Previous contributions to major open source ML projects. Experience with MLOps and model deployment at scale. Understanding of modern attention mechanisms (multi‑head attention, grouped query attention, etc.). Why RelationalAI RelationalAI is committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of our team. We are driven by curiosity, value innovation, and help each other to succeed and to grow. We take the well‑being of our colleagues seriously, and offer flexible working hours so each individual can find a healthy balance that affords them a productive, happy life wherever they choose to live. 🌎 Global Benefits at RelationalAI At RelationalAI, we believe that people do their best work when they feel supported, empowered, and balanced. Our benefits prioritize well‑being, flexibility, and growth, ensuring you have the resources to thrive both professionally and personally. We are all owners in the company and reward you with a competitive salary and equity. Work from anywhere in the world. Comprehensive benefits coverage, including global mental health support Open PTO - Take the time you need, when you need it. Company Holidays, Your Regional Holidays, and RAI Holidays-where we take one Monday off each month, followed by a week without recurring meetings, giving you the time and space to recharge. Paid parental leave - Supporting new parents as they grow their families. We invest in your learning & development Regular team offsites and global events - Building strong connections while working remotely through team offsites and global events that bring everyone together. A culture of transparency & knowledge‑sharing - Open communication through team standups, fireside chats, and open meetings. Country Hiring Guidelines RelationalAI hires around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements. Because of this, understanding location & visa support helps us better prepare to onboard our colleagues. Our People Operations team can help answer any questions about location after starting the recruitment process. Privacy Policy EU residents applying for positions at RelationalAI can see our Privacy Policy here. California residents applying for positions at RelationalAI can see our Privacy Policy here. Equal Opportunity RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. #J-18808-Ljbffr

A leading AI-powered firm in Palo Alto, California, seeks a Senior Performance Test Engineer to lead diverse testing strategies for web applications and data platforms. With 5-8 years of performance testing experience, the ideal candidate will design and analyze tests, collaborate with teams, and provide insights. Strong proficiency in tools like JMeter and scripting in languages such as Java or Python is essential. The company offers an innovative environment and values performance excellence. #J-18808-Ljbffr

Shyld AI is building Physical AI systems that operate autonomously in hospitals to reduce infections and improve clinical workflows. Our platform combines sensing, embedded systems, AI, and hardware deployed in real clinical environments. We are looking for a hands-on Hardware Systems & Test Engineer to help us design, test, validate, and deploy reliable hardware systems at scale. This role sits at the intersection of hardware testing, QA, system integration, and field deployment, and will play a critical role in ensuring our devices perform safely and reliably in hospitals. What You'll Do Own hardware testing and system-level validation for Shyld AI devices Define and execute hardware QA processes, including incoming inspection, functional testing, and reliability testing Assist with hardware design and bring-up, including schematic reviews, PCB bring-up, and system integration Work closely with suppliers and contract manufacturers, helping manage technical communication, troubleshooting, and design iterations Organize and maintain the hardware lab, including test fixtures, tools, inventory, and documentation Debug and troubleshoot hardware, firmware, and system-level issues in both lab and field environments Evaluate, prototype, and test new sensors and hardware components Support device installations at customer sites, including setup, validation, and troubleshooting in hospital environments Create clear documentation for test procedures, installation workflows, and field learnings What We're Looking For 3+ years of hands-on experience in hardware testing, system integration, or hardware engineering Strong experience debugging real hardware systems (not just simulations) Comfortable working across hardware, firmware, and software boundaries Experience with lab tools such as oscilloscopes, multimeters, power supplies, logic analyzers Familiarity with embedded systems, sensors, and communication interfaces (I2C, SPI, UART, USB, Ethernet, etc.) Ability to communicate clearly with suppliers and manufacturing partners Comfortable traveling to customer sites and working hands-on in the field Highly organized, detail-oriented, and ownership-driven Nice to Have Experience with medical devices, robotics, or safety-critical systems Exposure to manufacturing, DFM, or production test Experience bringing up new sensors or evaluating hardware components Familiarity with regulated or compliance-driven environments Python or scripting experience for test automation Why Join Shyld AI Work on real hardware deployed in hospitals, not demos High ownership and direct impact on product reliability and customer success Small, fast-moving team with strong technical depth Opportunity to grow into Technical Operations or Hardware Lead roles over time

1X builds safe humanoid robots that work alongside people at home and in factories. We ship fast, test hard, iterate until it works. The job: Own full integration of dexterous hands into the robot. Make every hand move perfectly, sense accurately, hit production yield. Hands-on with mech, EE, controls, AI. You'll do: Plug hands into control stack + validate full behaviors Build calibration + end-of-line tests Integrate position/torque/tactile sensors into real-time loops Act as the technical focal point for the hand Close the loop between design intent, control behavior, and manufacturability Write diagnostics + fallback logic Debug mech/EE/SW with scopes, logs, data Tune high-BW controllers + run sys-ID Define test stations + x-functional requirements Script auto-rigs, dashboards, pipelines Write docs + mentor You need: 6+ yrs shipping robotic actuators/manipulators C++ / Python (embedded + test) Sensor fusion + closed-loop tuning Mech, kinematics, controls, sensors Linux, lab gear, debug BS/MS ME/EE/Robotics Cross-team driver Nice to have: Built robotic hands or multi-DOF EtherCAT/CAN/SPI/I2C MATLAB/Simulink CAD collab Benefits & Compensation Comprehensive health, dental, and vision insurance 401(k) with company match Paid time off and holidays Pay: $160k-$240k + equity + benefits Equal Opportunity Employer 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law. #J-18808-Ljbffr

A global technology leader is seeking an experienced engineer to implement GenAI services and APIs enhancing Splunk products. Candidates should have over 5 years of backend systems experience, excel in Python or TypeScript, and possess knowledge of LLM APIs. This role offers competitive pay and a variety of benefits including medical insurance, retirement plans, and generous paid time off, with a salary range of $181,000 to $235,000 annually based in Palo Alto, California. #J-18808-Ljbffr

A leading automotive technology company in California is seeking a Cellular and Wireless Integration Engineer to work on connectivity features for vehicles. This role involves cellular testing, documentation, and collaboration with development teams. Ideal candidates hold a Bachelor's degree in a relevant field and possess a solid understanding of 5G and LTE protocols. A keen interest in telematics and Linux proficiency are critical. Competitive salary and benefits package offered. #J-18808-Ljbffr

A tech-focused financial services firm in California is seeking a Cybersecurity/SRE professional to secure and maintain the reliability of its infrastructure. Responsibilities include building secure applications on AWS, managing identities, and strengthening Kubernetes security. The ideal candidate has expertise in Python, Terraform, and large distributed systems, and holds a proactive, problem-solving mindset. Competitive salary and comprehensive benefits included. #J-18808-Ljbffr