Test engineer jobs in Gilroy, CA

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron ***************************************************************************************** *********************************************** ************************************* ********************************************************************************************* Key job responsibilities This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: * Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators. * Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment. * Build infrastructure to systematically analyze and onboard multiple models with diverse architecture. * Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models * Analyze and optimize system-level performance across multiple generations of Neuron hardware * Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks * Implement optimizations such as fusion, sharding, tiling, and scheduling * Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines. * Work directly with customers to enable and optimize their ML models on AWS accelerators * Collaborate across teams to develop innovative optimization techniques A day in the life You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you're always working on the most important initiative. About the team The Inference Enablement and Acceleration team fosters a builder's culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today. BASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 5+ years of non-internship professional software development experience - 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution. - Software development experience in C++, Python (experience in at least one language is required). - Strong understanding of system performance, memory management, and parallel computing principles. - Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems. PREFERRED QUALIFICATIONS- Familiarity with PyTorch, JIT compilation, and AOT tracing. - Familiarity with CUDA kernels or equivalent ML or low-level kernels - Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited. - Familiar with syntax and tile-level semantics similar to Triton. - Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments. - Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Harvey Nash USA has been engaged to find a talented Web Application Penetration Tester for an Enterprise Insurance Client. Must-have requirements- Advanced knowledge web application penetration testing. Extensive knowledge of and proven experience with penetration testing of web applications, and methods and frameworks for identifying and remediating vulnerabilities. In-depth knowledge of OWASP Top 10 and other frameworks. Proficient knowledge of Java, Spring, and Oracle. Working knowledge of Linux and Windows Job Title: Web Application Penetration Tester Location: Pleasanton, CA Duration: 12 Months Contract Hybrid/Remote: Hybrid Job Description: The Web Application Penetration Tester will perform the manual penetration testing of mission critical web application to discover vulnerabilities and propose remediations to the development team. The Web Application Penetration Tester is expected to: Conduct penetration tests on web pages to identify and exploit security vulnerabilities. Document the findings and provide techniques and solutions to remediate vulnerabilities. Work closely with the development team to implement remediations/solution and verify fixes. Plan and manage all aspects of the penetration testing function. Mentor the development team in building and securing web applications using OWASP and other mainstream frameworks. TECHNICAL KNOWLEDGE AND SKILLS: Advanced knowledge web application penetration testing. In-depth knowledge of OWASP Top 10 and other frameworks. Experience and willingness to work in a fast-paced environment. Development experience in an enterprise-class system with multi-tier architecture Proficient knowledge of Java, Spring, and Oracle. Working knowledge of Linux and Windows Extensive knowledge of and proven experience with penetration testing of web applications, and methods and frameworks for identifying and remediating vulnerabilities. Strong knowledge in project management practices and ability to document processes and procedures as needed. A reasonable, good faith estimate of the minimum and maximum hourly wage for this position is $66/hr. on W2 (rate may differ based on current location). Benefits will be available, and details are available at the following links: Benefits Details: *********************************************** 401K Plan: Our employees work hard, which is why Harvey Nash is proud to contribute to their hard-earned savings with a 401(k) retirement plan that includes a 25% company match on all deferrals. We also offer a Roth 401(k) for even more flexibility. Employees 21 years of age or older, and have completed 3 months of service, are eligible to participate.

We are seeking a detail-oriented and proactive Testing Engineer I to join our Quality Engineering team. In this role, you will collaborate with clients' test engineering teams to design test plans, develop test cases, execute manual tests, and identify/report defects. The ideal candidate should have strong analytical skills, excellent communication abilities, and a passion for delivering high-quality products. Key Responsibilities Collaborate with client test engineering teams to: Develop comprehensive test plans for various components. Create detailed and accurate test cases. Execute manual testing across multiple platforms and environments. Identify, document, and report bugs/defects using standard tools. Perform a wide range of testing activities, including: Camera & Photography Testing Back-end Testing Black Box Testing Carrier Testing Cross-Browser / Cross-Platform Testing Compatibility Testing Documentation Testing Compliance Testing Exploratory Testing Accessibility Testing Functional Testing API / Services Testing Integration Testing Device Testing Regression Testing Globalization / Localization / Language Testing User Acceptance Testing (UAT) Mobile Application Testing System Testing Manual Testing Analyze customer scenarios to ensure comprehensive test coverage. Maintain accurate test documentation, logs, and reports. Collaborate with developers, product managers, and stakeholders during defect triage and issue resolution. Requirements 0-2 years of experience in Software Testing or Quality Assurance. Hands-on experience working with Unix/Linux or Windows environments. Strong understanding of manual testing concepts, test design, and bug reporting. Working knowledge of test automation tools (Selenium, Appium, or similar) is an added advantage. Excellent analytical skills with the ability to think through customer usage scenarios. Strong written and verbal communication skills. Detail-oriented, organized, and able to work in a fast-paced environment. Preferred Skills (Nice to Have) Basic scripting skills (Python, Shell, JavaScript, or similar). Familiarity with API testing tools such as Postman or Swagger. Exposure to automation frameworks or CI/CD pipelines.

Must Have skills: Solid understanding of SONiC fundamentals, building SONiC foundations, test architecture Some experience setting up servers with SONiC built on them Network Protocols - Layer 2 and platform protocols PyTest automation Critical skills: Solid understanding of SONiC fundamentals, building SONiC foundations, test architecture Some experience setting up servers with SONiC built on them Network Protocols - Layer 2 and platform protocols PyTest automation Desirable skills: PTF/SpyTest

Akkodis is seeking a - “Test Engineer I” for a Contract position with a client located Cupertino, CA. Pay Range: $40-$45/hr. (The rate/salary may be negotiable based on experience, education, geographic location, and other factors.). Job Summary The Video Engineering Image Quality (VEIQ) team is responsible for delivering world-class video quality across iPhone, iPad, Mac, and Vision Pro. We are seeking a highly skilled Camera Video Quality Engineer with strong experience in lab-based test automation and real-world video quality evaluation. In this role, you will help ensure our products deliver the best camera video experience in the world. Description In this position, you will conduct both laboratory and real-world video quality testing on iPhone and iPad, while benchmarking performance against competitive devices. You will play a key role on a fast-paced, collaborative team that thrives in a high-energy, dynamic environment. Your contributions will directly impact video quality across Apple products. Responsibilities include: Developing and executing camera video quality test models Capturing real-world video content for quality verification Identifying image quality (IQ) issues and performing initial analysis and triage Participating in IQ evaluations for new features and algorithms, providing actionable feedback to engineering teams Analyzing, reproducing, and isolating video quality issues across lab and real-world environments Minimum Qualifications BS in Image Science, Color Science, CS/CE/EE, or equivalent experience Experience with subjective and objective image quality evaluation Understanding of ISP pipelines and 3A (AE/AF/AWB) evaluation Strong attention to detail, analytical skills, and problem-solving abilities Ability to stay current on camera benchmarking results and testing methodologies Excellent written and verbal communication skills with a proven ability to collaborate cross-functionally Preferred Qualifications Proficiency in coding languages such as Python or C/C++ Strong video photography skills Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ***************************************** The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field (or equivalent professional experience). 3+ years of experience in Testing, software implementation, consulting, or technical support roles, preferably in the financial crime, AML, fraud, or risk management domain. Develop and execute system and user acceptance test (UAT) plans, troubleshoot issues, and support as needed.

One of our clients which is having operations globally is looking a Hardware Test Engineer for an onsite role to Sunnyvale, CA. Please find the below job description and request you to share me your resume to ************************ Title: Hardware Test Engineer Location: Onsite to Sunnyvale, CA Duration: Full time with all the benefits Experience required: 5 + Years Description: 1) Board Testing experience in must using equipment like:- Oscilloscopes/DMM - digital multimeter 2) Candidate must have basic exposure to interfaces like :- I2C, SPI, I3C 3 ) Must have experience in basic EE testing terms like:- Current measurement / Power measurement / Voltage measurement / Signal measurement 4) Python is good to have but not mandatory 5) Degree: Flexible (ideal - BSEE or related field with 2+ years of experience) / (Associates will also work with 5+ years of experience in board testing)

A pioneering and well-funded AI company is seeking a talented Python Backend Engineer to build the core infrastructure for its revolutionary autonomous systems. This is a unique opportunity to join an innovative team at the forefront of engineering and artificial intelligence, creating a new category of software that will redefine how complex products in sectors like aerospace, automotive, and advanced manufacturing are designed and developed. Why Join? Build the Future of Engineering: This isn't just another backend role. Your work will directly shape how next-generation rockets, cars, and aircraft are designed, fundamentally changing the engineering landscape. Solve Unprecedented Technical Puzzles: Tackle unique challenges in building the infrastructure for autonomous AI agents, including simulation orchestration, multi-agent coordination, and scalable model serving. Shape a Foundational Platform: As a critical member of a pioneering team, you will have a significant impact on the technical direction and core architecture of an entirely new category of software. Join a High-Impact Team: Work in a collaborative, fast-paced environment where your expertise is valued, and you have end-to-end ownership of critical systems. Compensation & Location: Base salary of up to $210,000 + equity + benefits, while working on-site with the team in a modern office in downtown San Francisco. The Role As a Python Backend Engineer, you will be instrumental in constructing the infrastructure that underpins these autonomous engineering agents. Your responsibilities will span model serving, simulation orchestration, multi-agent coordination, and the development of robust, developer-facing APIs. This position is critical for delivering the fast, reliable, and scalable systems that professional engineers will trust and depend on in high-stakes production environments. You will: Own and build the core backend infrastructure for the autonomous AI agents, focusing on scalability, model serving, and multi-agent orchestration. Design and maintain robust APIs while integrating essential third-party tools like CAD software and simulation backends into the core platform. Develop backend services to process and serve complex 3D visualizations from simulation and geometric data. Collaborate across ML, frontend, and simulation teams to shape the product and engage directly with early customers to drive infrastructure needs. Make foundational architectural decisions that will define the technical future and scalability of the entire platform. The Essential Requirements Strong backend software engineering experience, with a primary focus on Python. Proven experience in designing, building, and maintaining production-level APIs (FastAPI preferred but Flask and Django also considered). Experience with 3D visualization libraries or tools such as PyVista, ParaView, or VTK. Excellent systems-thinking skills and the ability to reason about the interactions between compute, data, and models. Experience working in fast-paced environments where end-to-end ownership and proactivity are essential. Exceptional communication and collaboration abilities. What Will Make You Stand Out Experience integrating with scientific or engineering software (such as CAD, FEA, or CFD tools). Exposure to agent frameworks, workflow orchestration engines, or distributed systems. Familiarity with model serving frameworks (e.g., TorchServe, Triton) or simulation backends. Previous experience building developer-focused tools or working in high-trust, customer-facing technical roles. If you are interested in this role, please apply with your resume through this site. SEO Keywords for Search Python Backend Engineer, Python Software Engineer, Backend Engineer, Software Engineer, Python Developer, AI Engineer, Machine Learning Infrastructure, MLOps Engineer, Backend Software Engineer (Python), Senior Backend Engineer, AI/ML Engineer, Infrastructure Engineer, FastAPI Developer, PyVista, ParaView, VTK, 3D Visualization, Docker, Kubernetes, Cloud Engineer, AI Platform Engineer, Distributed Systems Engineer, Simulation Software Engineer, CAD Integration, CFD, FEA, Scientific Computing, High-Performance Computing (HPC), Agent Frameworks, Workflow Orchestration, Technical Lead, Staff Engineer. Disclaimer Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.

🚀 Software Engineer - AI & Full Stack (San Francisco, CA) 💼 Full-Time | 🧠 1-4+ Years Experience | 💰 $150,000- 210,000 We're building self-improving software - AI that continuously creates, tests, and enhances digital experiences. Backed by Y Combinator, Gradient, and leaders from OpenAI, Uber, and Meta, we've raised $5M+ and are scaling fast. If you love building things that think for themselves , this is your chance to help shape the next wave of intelligent software. 🧩 What You'll Do Build an AI-powered paywall editor serving millions of users every day. Work across the stack - Next.js frontend + Python backend - integrating the latest AI models & APIs. Ship fast: design → code → test → deploy → learn → repeat. Collaborate directly with founders, engineers, and customers to deliver exceptional user experiences. ⚡ What We're Looking For Strong problem-solving and full-stack skills (Python, React, TypeScript). Experience building user-facing products that people love. Excellent communication and a bias for action. Ownership mindset - you ship things that matter. Startup experience = BONUS BSc CompSc degree preferred 💡 Bonus Points Experience with AI/LLM integrations. Startup or founder-level experience. Mobile skills (Swift, Flutter, React Native). 🧠 Tech Stack Next.js (React/TypeScript), Zustand, Tailwind, Shadcn, Python, Supabase, Fly.io, Swift, Flutter, Expo 📍 In-person role - San Francisco (Mon-Sat) U.S. work authorization required (O-1 visa sponsorship possible). If you're ready to build AI that builds software, we'd love to hear from you. 👉 Apply now and help us invent the future of intelligent systems.

We are actively searching for a Founding Protocol Engineer to join our team on a permanent basis. In this position you will If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role. Your Rhythm: Drive the architecture, technical design, and implementation of our lending protocol. Collaborate closely with researchers to validate and test designs Collaborate with auditors and security engineers to ensure safety of the protocol Participate in code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices Your Vibe: 5+ years of professional software Engineering experience 3+ years of experience working in Solidity in EVM in production environments, specifically focused in DeFi products 2+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures Experience building lending protocols in a smart contract language Open to collaborating onsite a few days a week at our downtown SF office Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

Founding Engineer $140K - $200K + equity San Francisco (Onsite Role) Direct Hire A fast growing early-stage start who recently secured a significant amount at Seed is actively hiring 3x software engineers to join their founding team. They're looking for people who are scrappy, move fast, challenge assumptions, and are driven to win. They build quickly and expect teammates to push boundaries. Who You Are Make quick, reversible (“two-way door”) decisions Proactively fix problems before being asked Comfortable working across a modern engineering stack (e.g., TypeScript, Python, containerisation, ML/LLM tooling, databases, cloud environments, mobile frameworks) Have built real, shipped products Thrive in ambiguity and fast-moving environments What You'll Do Talk directly with users to understand their workflows, pain points, and needs Architect systems that support large enterprise usage Build automated pipelines and intelligent agents that process and verify large volumes of data Maintain scalable, robust infrastructure Ship quickly - progress over perfection The Reality You'll work closely with the founding team and directly with customers User value beats hype, trends, and “cool tech” Expect a demanding, high-output culture If you're a Software Engineer with 2 + years' experience and want to work in a growing start-up, please do apply now for immediate consideration.

Robotics Software Engineer (Generalist/Full-Stack) Robotic Software Engineer - Humanoid Robotics Palo Alto, SF Bay Area (Full-time | Onsite) $180k-$200k + equity (flexible for exceptional candidates) We are recruiting building next-generation humanoid robotic systems that combine advanced AI with cutting-edge hardware. Our team moves fast, prototypes aggressively, and puts real robots into the world. We're now hiring a Robotic Software Engineer to help shape our core software stack and accelerate the development of our embodied AI systems. What You'll Work On As part of a small, high-impact engineering team, you will: Build and optimise robotics software in C++ and ROS2 Integrate perception, control, planning, and learning modules Work hands-on with robots to bring up new hardware and run real-world experiments Deploy reinforcement learning / imitation learning policies onto physical robots Develop middleware, interfaces, and tooling that connect AI → hardware Prototype behaviours across diverse robot types (arms, humanoids, mobile platforms, drones) This role directly supports both our AI and hardware teams and has significant ownership from day one. Must-haves: Strong C++ development skills (multi-threading, performance, systems-level) Professional experience with ROS2 Hands-on robotics experience - ideally robot learning on physical hardware Ability to work on real robots (debugging, integration, testing) Generalist mindset and comfort in a fast-paced startup environment Nice-to-haves: Manipulation or kinematics (humanoids, arms, quadrupeds) Controls for mobile robots or drones Sensor/actuator integration, drivers, or middleware experience VR prototyping (Meta Quest or similar) Experience across different robot embodiments Why Join Us Build software that runs on real humanoid robots immediately High ownership within a small, world-class engineering team Competitive compensation + meaningful equity Opportunity to influence architecture, roadmap, and product direction Work at one of the most exciting intersections in tech: AI × robotics

We're a Series A and we need a systems-savvy engineer who can architect, optimize, and turbocharge our multi-target runtime from day one. If concurrent programming is your playground, C++14 is your native language, and you think in cache lines, pipelines, and memory hierarchies, this role puts you at the heart of the action. What You'll Do Design, build, and continually improve our multi-target runtime Apply cutting-edge parallelization + partitioning techniques to generate and exploit highly optimized kernels Rapidly prototype ideas and validate them with real data What You Bring Deep expertise in asynchronous + concurrent programming 4+ years of modern C/C++ Strong grasp of hardware architecture (scalar vs vector, memory hierarchies, etc.) Knowledge of OS kernel or hypervisor development Bonus Points CUDA/ROCm library experience GPU programming background HPC experience MS/PhD in CS or equivalent Familiarity with PyTorch, JAX, Triton Experience wrangling large compute clusters Why You'll Love It You'll own critical, performance-sensitive systems that sit at the core of our stack; shaping how next-gen ML models run across diverse hardware. High impact, deep tech, zero bureaucracy. If you want to engineer at the limits of performance and help build a runtime that changes the game let's talk!

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. We're hiring Backend Software Engineer - Cloud Services in Sunnyvale, CA . What You'll Do Take full ownership of your services: drive the design, contribute new features, participate in peer reviews, and deliver production-ready solutions. Develop software primarily in Java and Python. Work with Kubernetes or be willing to quickly ramp up on container orchestration. Own end-to-end responsibility for major features and subsystems-from refining requirements to successful deployment in customer environments. Manage operational health of your services, including telemetry, metrics, and rapid production issue detection. Ensure high code quality through early testing, functional verification, and integration testing. Collaborate closely with Product Management to clarify scope, finalize requirements, and plan delivery. What You'll Bring Bachelor's degree in Computer Science or similar field (Master's preferred). 3+ years of experience building scalable, distributed systems. A strong passion for building software, learning new technologies, and collaborating in a team environment. Hands-on experience with AWS, Azure, or GCP, particularly at the programming/API level. Background in networking or security is a plus. Proficiency in Java and/or Python, with familiarity using REST APIs. Experience with CloudFormation or Terraform is beneficial. Knowledge of Spring or similar backend frameworks. Understanding of Kubernetes, Docker, and containerized environments is helpful. Familiarity with classic Gang of Four design patterns. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment

We are seeking a detail-oriented and proactive Testing Engineer I to join our Quality Engineering team. In this role, you will collaborate with clients' test engineering teams to design test plans, develop test cases, execute manual tests, and identify/report defects. The ideal candidate should have strong analytical skills, excellent communication abilities, and a passion for delivering high-quality products. Key Responsibilities Collaborate with client test engineering teams to: Develop comprehensive test plans for various components. Create detailed and accurate test cases. Execute manual testing across multiple platforms and environments. Identify, document, and report bugs/defects using standard tools. Perform a wide range of testing activities, including: Camera & Photography Testing Back-end Testing Black Box Testing Carrier Testing Cross-Browser / Cross-Platform Testing Compatibility Testing Documentation Testing Compliance Testing Exploratory Testing Accessibility Testing Functional Testing API / Services Testing Integration Testing Device Testing Regression Testing Globalization / Localization / Language Testing User Acceptance Testing (UAT) Mobile Application Testing System Testing Manual Testing Analyze customer scenarios to ensure comprehensive test coverage. Maintain accurate test documentation, logs, and reports. Collaborate with developers, product managers, and stakeholders during defect triage and issue resolution. Requirements 0-2 years of experience in Software Testing or Quality Assurance. Hands-on experience working with Unix/Linux or Windows environments. Strong understanding of manual testing concepts, test design, and bug reporting. Working knowledge of test automation tools (Selenium, Appium, or similar) is an added advantage. Excellent analytical skills with the ability to think through customer usage scenarios. Strong written and verbal communication skills. Detail-oriented, organized, and able to work in a fast-paced environment. Preferred Skills (Nice to Have) Basic scripting skills (Python, Shell, JavaScript, or similar). Familiarity with API testing tools such as Postman or Swagger. Exposure to automation frameworks or CI/CD pipelines.

for Cellular Field Testing Cellular Field Tester Must Have Skills: 1. 3-4 years of experience in smartphone field testing 2. Excellent understanding of 3GPP specs for 3G/4G/5G NR technologies 3. Hands on experience of Android and Apple products like smartphones and smart watches. 4. Worked for carrier certification for USA operator (viz. Verizon, AT&T & T-Mobile) 5. Log analysis & debugging UE issues. 6. User Equipment Testing Job Description: 1. Expertise on 3GPP specs for 3G/4G/5G NR technologies 2. 3. Experienced Field Testing - inclusive of issue investigation and representation 4. Experience of 3-4 years into Mobile device testing 5. Perform testing and sending daily report to client 6. Aware of logging tools like QxDM, QCAT, XCAP, Wireshark, STT, ELT etc. 7. Basic Understanding of RF Concepts as added advantage. 8. Python or any scripting knowledge as added advantage.

Founding Engineer $140K - $200K + equity San Francisco (Onsite Role) Direct Hire A fast growing early-stage start who recently secured a significant amount at Seed is actively hiring 3x software engineers to join their founding team. They're looking for people who are scrappy, move fast, challenge assumptions, and are driven to win. They build quickly and expect teammates to push boundaries. Who You Are Make quick, reversible (“two-way door”) decisions Proactively fix problems before being asked Comfortable working across a modern engineering stack (e.g., TypeScript, Python, containerisation, ML/LLM tooling, databases, cloud environments, mobile frameworks) Have built real, shipped products Thrive in ambiguity and fast-moving environments What You'll Do Talk directly with users to understand their workflows, pain points, and needs Architect systems that support large enterprise usage Build automated pipelines and intelligent agents that process and verify large volumes of data Maintain scalable, robust infrastructure Ship quickly - progress over perfection The Reality You'll work closely with the founding team and directly with customers User value beats hype, trends, and “cool tech” Expect a demanding, high-output culture If you're a Software Engineer with 2 + years' experience and want to work in a growing start-up, please do apply now for immediate consideration.

We are actively searching for a Founding Protocol Engineer to join our team on a permanent basis. In this position you will If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role. Your Rhythm: Drive the architecture, technical design, and implementation of our lending protocol. Collaborate closely with researchers to validate and test designs Collaborate with auditors and security engineers to ensure safety of the protocol Participate in code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices Your Vibe: 5+ years of professional software Engineering experience 3+ years of experience working in Solidity in EVM in production environments, specifically focused in DeFi products 2+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures Experience building lending protocols in a smart contract language Open to collaborating onsite a few days a week at our downtown SF office Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

Xoriant is an equal opportunity employer. No person shall be excluded from consideration for employment because of race, ethnicity, religion, caste, gender, gender identity, sexual orientation, marital status, national origin, age, disability or veteran status. JOB TITLE : Software Development engineer in Test/SDET LOCATION: Mountain View, CA (Hybrid 3 days onsite) TYPE: Contract RATE : $50 per hour on W2 (Without Benefits) MUST SKILLS: Manual Testing, SDET, API testing, selenium /web driver, SQL Queries & AWS/Azure/GCP. JOB DESCRIPTION: 8+ hands-on years of manual testing and test automation experience. Need strong Manual testing exp, candidates should be willing to start with manual testing and gradually move to automation. Good experience in API Testing. Need selenium or web driver exp. Solid exp is SQL queries. Good expertise in complex SQL queries. Oracle and Postgres databases. Nice to have experience in AWS/Azure/GCP. Demonstrated experience with WebDriver IO or any Selenium test frameworks or similar open-source automation framework. Solid understanding and experience of writing locators in selenium. Cucumber, Mocha, or similar BDD test scripts development experience. ////****** Any query you can reach me on ************/********************************//////