Senior java developer jobs in Pleasanton, CA

Responsibilities: 70-85% hands-on software development across all SDLC phases. Conduct design and code reviews; create technical documentation. Contribute to our DevOps model. Estimate and sequence development activities. Analyze inputs to create software and services. Identify technical dependencies. Collaborate with engineers and architects. Qualifications: Experience with unit/integration/functional/e2e test automation. Advanced experience with Java , Spring Boot, Kafka, Kubernetes, GitHub, JUnit 4/5. Experience with Agile development methodologies (Scrum). Hands-on experience with AWS Experience with large-scale, distributed systems. Strong communication skills. Experience with debugging and monitoring tools

We have an immediate requirement for a Java Back End Developer with one of our clients in Pleasanton CA. is long term contract and onsite in Pleasanton CA work location. Key skills required: Java 8 and above, Microservices, Azure Cloud, Spring Boot, Kafka, REST APIs, Hibernate, JPA, Solr, Gradle, Shell Script, Groovy, Splunk, New Relic, Log4j, Git, Jenkins Responsibilities: Design and Develop client application modules in Microservices architecture on the Azure cloud platform using Java, Spring Boot, REST, Hibernate, and JPA. Design and develop solutions that are highly reliable, scalable, and meet business-defined services. Integrate client modules with other services using Kafka. Implement Flink and Kafka streaming modules in Java to streamline the batch process. Implement reactive programming and multi-threading techniques in the service layer to improve application performance. Set up Jenkins CI/CD process to auto-build the code merged into the git master branch and deploy the code into pre-prod environments. Configure Solr to index and search from server and application logs. Develop unit test cases in Groovy using the Grails framework. Set up alerts, notifications, and charts in the New Relic dashboard. Bachelor's degree or equivalent in Computer Science, Engineering (Any) or related field and 5 years of experience building scalable e-commerce applications.

Software Engineer - AI Infra Startup - San Francisco, CA A small, deeply technical AI infra startup in San Francisco, building the platform that next-gen AI apps will run on - think custom compilers, CUDA kernels, and distributed orchestration are looking for a Software Engineer to join their team. What will I be doing? As a Software Engineer you'll help architect and build the infrastructure powering the next generation of AI systems. You'll work across the stack on: High-performance, distributed systems that support real-time AI workloads Kubernetes orchestration, infra tooling, and automation pipelines Low-level runtime components like custom compilers and CUDA kernels Scalable, reliable backend services Collaborating directly with the founding team on technical strategy and core architecture What are we looking for? Strong background in systems programming, backend, or infra engineering Experience with distributed systems, container orchestration, and Linux internals Comfortable working across multiple layers of the stack, from low-level code to infra ops Fast learner who thrives in ambiguous, high-agency environments Bonus: Experience with compilers, CUDA, or ML infrastructure What's in it for me: up to $300k base dependent on experience + 0.2-0.5% equity Work directly with deeply technical founders (ex-Stanford, Google, and more) on some of the hardest problems in AI infra On-site in San Francisco Stealth startup with serious backing, operating lean and hiring intentionally Apply now for immediate consideration!

Role: Founding Software Engineer Salary: $150k-$230k I am partnered with an early-stage start-up who is looking to hire a founding engineer to help build out their product, which is helping modernize and change the way procurement is done within the US government. The technology acts as a marketplace to connect companies with relevant opportunities and to streamline the process, which in turn will save time and money for both the government and potential suppliers. To be considered for this role you must have the following skills and background: Must be a US citizen due to the nature of the work Computer science degree from a top 30 university Have 1 year+ post-college work experience, or if you are a fresh grad, internship or demonstrable projects you have done yourself Experience with full-stack engineering - ideally have worked with Python and TypeScript Proven ability to design AI agents and harness LLMs for practical applications Working experience in an early-stage start-up is highly desirable and will make you stand out from the crowd If you want to know more about this position, please apply below and I will be in contact to discuss the position further.

Role: Senior Software Engineer (Java) Contract: 12 to 24 months Skills Needed: Backend Java, API development, Microservices, Oracle, Splunk Client JD- We are seeking a Senior Software Engineer (SE3) with strong backend Java experience to support the development of APIs and microservices within a large-scale banking/transaction environment. The role involves modernizing monolithic applications, contributing to cloud migration (OCP), and ensuring platform stability, performance, and security. Key Responsibilities Design, develop, test, and support backend APIs and microservices. Work on modernization and cloud migration efforts. Ensure scalability, resiliency, and secure SDLC practices. Handle production support, monitoring, and issue resolution. Collaborate with product managers, architects, and engineering teams. Guide junior developers when needed. Required Skills 4+ years Java/Spring development 4+ years API/microservices experience 2+ years Oracle database experience Experience with Splunk or similar monitoring tools Agile/Scrum experience Nice to Have Experience decomposing monolithic apps Cloud/OCP migration experience Kafka or event-driven architecture API management tools (e.g., Apigee) Exposure to GenAI/Copilot (bonus) EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment based on - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

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.

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!

ava development with strong proficiency in frameworks like Spring, Spring Boot, Hibernate, etc. Proven leadership experience in managing development teams and driving technical projects. Experience in offshore-onshore team coordination, with a clear understanding of collaboration challenges and solutions. Strong expertise in building scalable, robust, and high-performance applications. Familiarity with microservices architecture, RESTful APIs, and cloud technologies (AWS/Azure/GCP). Excellent problem-solving, analytical, and debugging skills. Strong communication and interpersonal skills to effectively lead a team and interact with stakeholders. Preferred Qualifications: Experience with Agile/Scrum development practices. Exposure to frontend technologies like Angular or React (nice to have). Familiarity with version control systems (e.g., Git).

Granica is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stack-where raw information becomes usable intelligence. Our technology operates deep in the data infrastructure layer, making data efficient, secure, and ready for scale. We eliminate the hidden inefficiencies in modern data platforms-slashing storage and compute costs, accelerating pipelines, and boosting platform efficiency. The result: 60%+ lower storage costs, up to 60% lower compute spend, 3× faster data processing, and 20% overall efficiency gains. Why It Matters Massive data should fuel innovation, not drain budgets. We remove the bottlenecks holding AI and analytics back-making data lighter, faster, and smarter so teams can ship breakthroughs, not babysit storage and compute bills. Who We Are World-renowned researchers in compression, information theory, and data systems Elite engineers from Google, Pure Storage, Cohesity, and top cloud teams Enterprise sellers who turn ROI into seven‑figure wins. Powered by World-Class Investors & Customers $65M+ raised from NEA, Bain Capital, A* Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks. Our platform already processes hundreds of petabytes for industry leaders Our Mission: We're building the default data substrate for AI, and a generational company built to endure. Smarter Infrastructure for the AI Era: We make data efficient, safe, and ready for scale-think smarter, more foundational infrastructure for the AI era. Our technology integrates directly with modern data stacks like Snowflake, Databricks, and S3-based data lakes, enabling: 60%+ reduction in storage costs and up to 60% lower compute spend 3x faster data processing 20% platform efficiency gains Trusted by Industry Leaders Enterprise leaders globally already rely on Granica to cut costs, boost performance, and unlock more value from their existing data platforms. A Deep Tech Approach to AI We're unlocking the layers beneath platforms like Snowflake and Databricks, making them faster, cheaper, and more AI-native. We combine advanced research with practical productization, powered by a dual-track strategy: Research: Led by Chief Scientist Andrea Montanari (Stanford Professor), we publish 1-2 top-tier papers per quarter. Product: Actively processing 100+ PBs today and targeting Exabyte scale by Q4 2025. Backed by the Best We've raised $60M+ from NEA, Bain Capital, A Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks. Our Mission To convert entropy into intelligence, so every builder-human or AI-can make the impossible real. We're building the default data substrate for AI, and a generational company built to endure beyond any single product cycle. WHAT YOU'LL DO This is a deep systems role for someone who lives and breathes distributed infrastructure, understands how data moves at scale, and wants to build the next-generation AI data platform from the ground up. Own the ACID backbone. Design and harden transactional layers and metadata services so that petabyte-scale tables can time-travel in microseconds and schema evolution becomes a non-event. Turn metadata into rocket fuel. Build compaction, caching, and pruning services that keep millions of file pointers within 50 ms from lookup to plan. Squeeze more signal per byte. Optimize data layouts-from column ordering to dictionary and bit-packing, bloom filters, and zone-map indexes-to cut scan I/O by 10× on real-world workloads. Ship adaptive indexing with research. Co-invent machine-driven indexes that learn access patterns and automatically re-partition nightly-no more manual “analyze table” ever again. Scale the engine, not the babysitting. Write Spark, Flink, or batch pipelines that autoscale across S3, GCS, and ADLS; expose observability hooks; and survive chaos drills without triggering a pager storm. Code for longevity. Write clean, test-soaked Java, Scala, Go, or C++. Document key invariants so future teams can extend the system-instead of rewriting it. Measure success in human latency. If analysts see their dashboards refresh in blink-level time, you've won. Publish your breakthrough and mentor the next engineer to raise the bar again. WHAT WE'RE LOOKING FOR You've built systems where performance, resilience, and clarity of design all matter. You thrive at the intersection of infrastructure engineering and applied research, and care deeply about both how something works and how well it works at scale. Core Skills Distributed Systems and Storage Fundamentals - consistency, replication, sharding, durability, transactions. Columnar Storage Optimization - deep knowledge of Parquet or similar formats (column ordering, compression, zone maps). Metadata and Indexing Systems - experience building metadata-driven services, compaction, caching, and adaptive indexing. Distributed Compute at Scale - production-grade Spark/Flink or equivalent pipeline development across S3, GCS, or ADLS. Programming for Scale and Longevity - strong coding in Java, Scala, Go, or C++, with clean testing and documentation practices. Resilient Systems and Observability - you've built systems that survive chaos drills and expose the right metrics. Desired Skills Exposure to open table formats such as Apache Iceberg, Delta Lake, or Hudi. Experience with catalog services, query planning, or compaction frameworks. OSS contributions or published work in data infrastructure or distributed systems. WHY JOIN GRANICA If you've helped build the modern data stack at a large company-Databricks, Snowflake, Confluent, or similar-you already know how critical lakehouse infrastructure is to AI and analytics at scale. At Granica, you'll take that knowledge and apply it where it matters most…at the most fundamental layer in the data ecosystem. Own the product, not just the feature. At Granica, you won't be optimizing edge cases or maintaining legacy systems. You'll architect and build foundational components that define how enterprises manage and optimize data for AI. Move faster, go deeper. No multi-month review cycles or layers of abstraction-just high-agency engineering work where great ideas ship weekly. You'll work directly with the founding team, engage closely with design partners, and see your impact hit production fast. Work on hard, meaningful problems. From transaction layer design in Delta and Iceberg, to petabyte-scale compaction and schema evolution, to adaptive indexing and cost-aware query planning-this is deep systems engineering at scale. Join a team of expert builders. Our engineers have designed the core internals of cloud-scale data systems, and we maintain a culture of peer-driven learning, hands-on prototyping, and technical storytelling. Core Differentiation: We're focused on unlocking a deeper layer of AI infrastructure. By optimizing the way data is stored, processed, and retrieved, we make platforms like Snowflake and Databricks faster, more cost-efficient, and more AI-native. Our work sits at the most fundamental layer of the AI stack: where raw data becomes usable intelligence. Be part of something early-without the chaos. Granica has already secured $65M+ from NEA, Bain Capital Ventures, A* Capital, and legendary operators from Okta, Tesla, and Databricks. Grow with the company. You'll have the chance to grow into a technical leadership role, mentor future hires, and shape both the engineering culture and product direction as we scale. COMPENSATION & BENEFITS Competitive salary and meaningful equity Unlimited PTO + quarterly recharge days Premium health, vision, and dental Team offsites, deep tech talks, and learning stipends Help build the foundational infrastructure for the AI era Granica is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Title: Software Engineer (All Levels) - Mountain View, CA Team: Core Engineering Employment Type: Full-Time About the Role: We're building a transformative real-world product that operates at the intersection of autonomy, connectivity, and scale. As part of our growing engineering team in Mountain View, you'll contribute to a cutting-edge system that brings together diverse areas of software-from low-level hardware integration to high-level user experience. We're looking for engineers at all levels who thrive in collaborative environments and enjoy solving complex, real-world challenges. Whether your expertise lies in distributed systems, computer vision, full stack development, embedded systems, or data pipelines, there's a place for you here. What You'll Do: Your contributions will vary based on your expertise, but opportunities include: Building scalable distributed systems for real-time processing and coordination Developing and refining perception pipelines and ML-driven computer vision systems Designing, implementing, and testing embedded software with real-world constraints (latency, power, bandwidth) Creating intuitive web interfaces and backend APIs for monitoring, control, and insights Architecting robust QA frameworks to support system-level reliability and automation Enhancing connectivity and wireless performance in dynamic, multi-device environments Working on advanced control algorithms and sensor fusion pipelines to ensure safe, stable operation We're Looking For Engineers Who: Are passionate about building resilient, high-performance systems Have strong fundamentals in computer science or electrical engineering Value code quality, testability, and performance Can collaborate across disciplines (hardware, software, data) Are comfortable working in a fast-moving, iterative environment Preferred Experience (You don't need all of these): Experience with C++, Python, Go, or Rust Background in real-time systems or embedded development Familiarity with machine learning, computer vision, or sensor fusion Knowledge of cloud platforms and scalable infrastructure (e.g., Kubernetes, AWS) Prior work on autonomous systems, robotics, or high-reliability systems Why Join Us: This is your chance to work on a product that operates in the physical world and has a direct impact on safety, autonomy, and connectivity. You'll work alongside a highly skilled, mission-driven team in a collaborative and supportive environment. We're building something unique-and we'd love for you to be a part of it.

We are looking for a Senior Front-End Software Engineer with strong software fundamentals to join a high-performing platform development team. This role combines hands-on development, mentorship, and growth opportunities. You will work on UI implementation and maintenance across multiple functional areas, contributing daily to improving user experiences and building deep expertise in the product. Key Responsibilities Partner with Product Managers and Designers to define and deliver new features and solutions. Collaborate with engineering teams across the stack to build scalable, user-facing features. Work closely with the Support team to triage bugs and resolve production issues quickly. Drive planning and execution of mid- to large-scale projects from conception to launch. Act as a subject matter expert while resolving complex technical challenges. Oversee the full systems development lifecycle, including architecture definition, design, scoping, planning, implementation, testing, documentation, and maintenance. Qualifications 6+ years of front-end development experience. Strong technical background (degree in Computer Science, Engineering, or related field preferred, or equivalent experience). Advanced knowledge of HTML, CSS, and ES6 JavaScript. Advanced knowledge of React, Next.js, and TypeScript. Experience using and consuming REST APIs with a strong understanding of client-server interaction. Familiarity with AGILE/Scrum development methods. Expert-level problem-solving and communication skills.

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

Software Engineer, C++ Systems About the Role We're seeking a highly skilled Software Engineer (C++ Systems) to join our client's team and help build the core of our GPU virtualization platform. This role is ideal for engineers who thrive on microsecond-level performance optimization, enjoy working deep in complex C++ systems, and are motivated by building foundational infrastructure that directly impacts customers. You'll play a critical role in scaling our platform as we serve a rapidly growing customer base, owning production systems from day one and tackling technically demanding challenges at the forefront of GPU infrastructure. What You'll Do Optimize performance of our C++ GPU virtualization library at the systems level Research and develop solutions for GPU oversubscription, checkpointing, and distributed GPU clusters Support new hardware and software architectures with a deep, end-to-end understanding of the stack Debug low-level systems in production environments Diagnose and resolve performance issues in machine learning workloads Collaborate closely with the CTO on advanced systems design and implementation Required Experience Proven experience building and operating low-level systems in production environments Background working with compilers, kernels, or networking protocols Demonstrated ability to trace and resolve performance issues across complex systems Technical Skills Expert-level C++ proficiency (Rust experience is acceptable, though primary development will be in C++) Experience optimizing C++ and NIC performance Strong systems-level debugging and performance analysis skills Education Degree in Computer Science or a related field from a top-tier program Strong academic performance (3.7+ GPA) Soft Skills Ability to deliver high-quality output quickly in an early-stage startup environment Comfortable taking full ownership of critical production systems Thrives in ambiguous, high-impact problem spaces Company & Opportunity Building GPU virtualization software that dramatically improves GPU efficiency Operating a fast-growing GPU cloud, scaling from $0 to $500K in revenue in just six months Backed by Y Combinator and a recently closed $4.5M Seed round Join as employee #5 at a pivotal moment: product-market fit validated and scaling rapidly Work directly with the CTO on systems challenges few startups get to tackle This is a hardcore C++ systems role focused on GPU virtualization, performance tuning, production debugging, and advanced research Expect ownership, impact, and problems that demand top 0.1% technical skill Why This Role If you love squeezing performance out of low-level systems, enjoy working at the intersection of GPUs, distributed systems, and production infrastructure, and want to help scale a breakthrough platform at an early stage, this role offers a rare and exciting opportunity.

🚀 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.

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.

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.

Software Engineer, C++ Systems About the Role We're seeking a highly skilled Software Engineer (C++ Systems) to join our client's team and help build the core of our GPU virtualization platform. This role is ideal for engineers who thrive on microsecond-level performance optimization, enjoy working deep in complex C++ systems, and are motivated by building foundational infrastructure that directly impacts customers. You'll play a critical role in scaling our platform as we serve a rapidly growing customer base, owning production systems from day one and tackling technically demanding challenges at the forefront of GPU infrastructure. What You'll Do Optimize performance of our C++ GPU virtualization library at the systems level Research and develop solutions for GPU oversubscription, checkpointing, and distributed GPU clusters Support new hardware and software architectures with a deep, end-to-end understanding of the stack Debug low-level systems in production environments Diagnose and resolve performance issues in machine learning workloads Collaborate closely with the CTO on advanced systems design and implementation Required Experience Proven experience building and operating low-level systems in production environments Background working with compilers, kernels, or networking protocols Demonstrated ability to trace and resolve performance issues across complex systems Technical Skills Expert-level C++ proficiency (Rust experience is acceptable, though primary development will be in C++) Experience optimizing C++ and NIC performance Strong systems-level debugging and performance analysis skills Education Degree in Computer Science or a related field from a top-tier program Strong academic performance (3.7+ GPA) Soft Skills Ability to deliver high-quality output quickly in an early-stage startup environment Comfortable taking full ownership of critical production systems Thrives in ambiguous, high-impact problem spaces Company & Opportunity Building GPU virtualization software that dramatically improves GPU efficiency Operating a fast-growing GPU cloud, scaling from $0 to $500K in revenue in just six months Backed by Y Combinator and a recently closed $4.5M Seed round Join as employee #5 at a pivotal moment: product-market fit validated and scaling rapidly Work directly with the CTO on systems challenges few startups get to tackle This is a hardcore C++ systems role focused on GPU virtualization, performance tuning, production debugging, and advanced research Expect ownership, impact, and problems that demand top 0.1% technical skill Why This Role If you love squeezing performance out of low-level systems, enjoy working at the intersection of GPUs, distributed systems, and production infrastructure, and want to help scale a breakthrough platform at an early stage, this role offers a rare and exciting opportunity.