Devops engineer jobs in Mountain View, CA

We are seeking a Senior DevOps Build Engineer with experience in designing, building, and maintaining secure, automated CI/CD pipelines for cloud based applications. The ideal candidate is a cloud savvy AWS expert with strong DevOps experience and good understanding of infrastructure-as-code, containerization and security scanning. In this role, you will collaborate across multiple teams including development, infrastructure, security and networking to deliver reliable, secure and scalable cloud solutions. You will also provide leadership in DevOps best practices, CI/CD automation, and secure architecture design. Responsibilities: Design, build, and optimize automated CI/CD pipelines and integrate SAST, DAST, OSS, and container security scans. Provide DevOps architectural leadership, mentorship, and best-practice guidance across teams. Lead standardization of DevOps pipeline frameworks and secure development patterns. Implement automated deployment, infrastructure, and build/release workflows. Own technical implementation for assigned development initiatives and ensure alignment with internal engineering standards. Partner closely with architecture, security, and engineering stakeholders to ensure secure and compliant build practices. Maintain platform security aligned with organizational Information Security policies. Anticipate risks and proactively propose solutions related to enterprise platform scaling and cloud adoption. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or equivalent work experience. At least 7 years of AWS experience delivering solutions in a DevOps or architecture role Hands on background designing, implementing, and supporting complex multi environment platforms. Proven experience building and supporting DevOps infrastructure, CI/CD pipelines, and automation. Strong experience configuring GitLab and artifact repositories such as Nexus. Experience preparing vulnerability reports using tools such as Fortify, SonarQube, NexusIQ, and GitLab native scans (Semgrep, Gymnasium). Experience configuring Checkov and KICS for IaC scanning. Containerization experience using Docker and AWS cloud services (CloudWatch, ECS, EKS, Lambda, Fargate, EC2.) Secrets management experience using AWS Secrets Manager, AWS SSM Parameter Store, and/or Vault. Advanced scripting experience using Python, Shell, Groovy, YAML/JSON. Experience with major IDEs using Visual Studio, IntelliJ, Eclipse. Strong experience integrating build tools and technologies across C++, Java, JavaScript, and .NET application stacks. Strong Linux and Windows OS experience. Knowledge working within Agile project environments and using tools such as Jira and VersionOne.

Hands on 6+ years of Azure DevOps experience in a highly regulated environment. Excellent experience designing and building Data Pipelines & SDLC Process. Hands on experience working with Kubernetes, Docker, Terraform and other infrastructure based technologies. In depth experience of Git / GitLab, SQL. Some basic knowledge on Power Automate & integration with M365 suite [ Nice to have ] Fluent in English both written and spoken.

We are partnered with a Series A AI Lab (backed by top-tier investors and advised by pioneering figures in generative and interactive media) that is hiring a Principal DevOps Engineer. They're backed by leading global VCs and AI research leaders (from OpenAI, DeepMind, Meta, and others), and guided by renowned figures in computer graphics and autonomous systems. The founding team brings deep expertise from frontier AI research and large-scale distributed systems, blending academic excellence with proven startup execution. As a Principal DevOps Engineer, you will work directly with the founders to architect, build, and scale the compute substrate that powers this next generation of AI. You'll design and optimize the inference platform, GPU-based training clusters, and data processing pipelines that drive real-time creativity and discovery. You'll play a key role in scaling systems for both research and production - ensuring low-latency performance, high availability, and efficient utilization across petabyte-scale data and model-serving workloads. Key Experience Required 5+ years of experience in Software / ML Infrastructure Engineering. Deep experience with distributed systems and GPU orchestration for high-performance ML workloads. Proficiency in Python, Go, or similar, and strong grasp of software engineering best practices. Hands-on expertise with Kubernetes, Docker, and IaC (Terraform). Experience optimizing model serving and data pipelines for latency and scalability. A builder's mindset - you thrive in ambiguity, pick the right tools for the job, and ship. This is a chance to join a team working at the frontier of real-time AI systems - please apply ASAP for more info.

Duration;1 yr W2 candidates only What you will bring: Experience integrating complex public cloud and third-party SaaS solutions. Prior work with single sign-on and multi-factor authentication, with a focus on migrating between IDPs. Knowledge of cloud services (e.g., AWS, GCP, Azure) and infrastructure as code (e.g., Terraform, CloudFormation). Agile methodology including using tools/practices such as Jira, roadmapping, managing sprints and backlogs, and tracking resource usage. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical DevOps experience with at least 5+ years working with AWS. Strong scripting / coding skills in one or more programming / scripting languages (e.g., Python, Powershell,Go, C#, JavaScript). Strong communication and collaboration skills to work effectively with cross-functional teams. A passion for building systems that truly meet the needs of multiple types of technical and non-technical users.

Senior DevOps Engineer San Francisco, CA $175,000 - $210,000 Hybrid We're looking for an experienced Senior DevOps Engineer to lead infrastructure initiatives, optimize CI/CD systems, and mentor other engineers as we continue to scale our client's platform. Role Overview As a Senior DevOps Engineer, you'll take ownership of our cloud infrastructure and delivery pipelines. You'll collaborate closely with developers, architects, and security teams to build highly available, fault-tolerant systems as well as drive best practices in automation, observability, and reliability. Responsibilities Architect, implement, and maintain CI/CD pipelines to support rapid and reliable software delivery. Lead the design and automation of scalable infrastructure in AWS, Azure, or GCP. Define and enforce best practices for infrastructure-as-code (IaC) using Terraform, Ansible, or similar tools. Implement robust monitoring, alerting, and logging systems (Grafana, Prometheus, ELK, Datadog). Optimize cloud costs, security, and performance across multiple environments. Collaborate with development teams to design cloud-native, containerized solutions using Docker and Kubernetes. Drive incident response processes and improve system reliability (SRE principles). Mentor junior DevOps and software engineers on automation and cloud operations. Requirements 7+ years of hands-on DevOps or Site Reliability Engineering experience. Proven expertise in AWS, Azure, or GCP cloud infrastructure. Strong experience with Kubernetes and container orchestration at scale. Deep understanding of CI/CD tools (GitHub Actions, Jenkins, GitLab CI, or CircleCI). Strong scripting and automation skills (Python, Bash, or Go preferred). Proficiency in Infrastructure as Code (Terraform, CloudFormation, or Ansible). Excellent grasp of cloud security, networking, and system observability. Experience leading projects or mentoring engineering teams. Nice to Have Experience with service mesh, serverless, or multi-cloud deployments. Background in performance optimization, disaster recovery, or SRE practices. Certifications such as AWS Certified DevOps Engineer, CKA/CKAD, or Azure DevOps Expert.

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!

Forward Deployed Engineer - YC | $150K - $225K + Equity | Onsite in SF We're partnering with a YC-backed startup that's reimagining a $100B+ legacy industry using LLMs, workflow automation, and applied AI. Fresh off their $8M seed round and already writing over $6M in annualized premiums across 35 states, they're building a fully autonomous AI-native commercial insurance brokerage. They've built internal agent systems that already replace core brokerage workflows - form automation, carrier selection, and client comms - and they're only just getting started. The vision? A self-scaling, infinitely efficient AI business that dominates a market still running on PDFs and fax machines. About the role: This is a unique chance to join as a Forward Deployed Engineer , working directly with clients to solve high-leverage problems using real-world AI systems. You'll sit at the intersection of full-stack engineering, AI integration, and product delivery - shipping fast, owning outcomes, and iterating in tight feedback loops with founders. You'll own: End-to-end delivery of AI-driven features for customers Translating vague specs into intelligent automation systems Deploying agentic workflows that drive revenue and efficiency Building products in Python, TypeScript, LangChain, Postgres, Supabase, AWS, etc. You might be a fit if: You've worked in a startup or FDE-type role (0-1 builds, client-facing exposure) You're fluent in full-stack software and have shipped production LLM systems You can balance speed and precision, and you're obsessed with outcomes You're excited about applying AI to real-world workflows, not just model outputs Why join? This isn't just building tooling - it's reinventing a massive, broken industry You'll be one of the earliest engineers shaping the future of AI-native businesses High agency, fast pace, no fluff - just shipping value with serious upside This is a full-time, in-person role in San Francisco. Visa support is available for the right candidate. Interested? Drop us a message - we'll share more about the role, team, and interview process.

Software Engineer - Perception | San Francisco - Onsite EVONA is partnering with a pioneering aerospace company developing a new generation of autonomous spacecraft systems. Their mission is to build advanced autonomy and perception pipelines that allow satellites to detect, classify, and understand objects in orbit in real time. This is a rare opportunity to join as one of the first US software hires, giving you direct impact on a high-profile space program while shaping the growth of the US software team. What You'll Do Develop and optimise computer vision & ML algorithms for real-time object detection and characterisation Integrate perception models into onboard flight computers and autonomy pipelines Build sensor models, digital twins, and simulation tools for training and validation Collaborate with international engineering teams while helping expand the US presence Contribute across a small, fast-moving team tackling complex, mission-critical challenges What We're Looking For Strong software engineering skills in C++ and Python Must of worked on Real Time Operating Systems (RTOS) Experience with computer vision, ML frameworks (PyTorch, TensorFlow), and CUDA acceleration Background in real-time/embedded systems, edge computing, or robotics Hands-on experience with perception systems in autonomy, drones, robotics, AR/VR, or self-driving vehicles Minimum 2 years' experience (open to junior through senior levels) Space industry experience not required - we're seeking autonomy and perception engineers who thrive on solving complex, real-world problems Why Join Impact: Apply your autonomy expertise to one of the most exciting frontiers of engineering Ownership: Join as one of the first 3 US hires, shaping both technology and team direction Growth: Help build a US team that will scale significantly in the next phase Compensation & Benefits: $170,000 - $250,000+ depending on level Equity participation Full medical, dental, and vision coverage 401(k) with company match Flexible PTO and paid leave Location & Requirements San Francisco Must be US Citizen, Green Card holder, or ITAR-eligible For more information, contact Ciara Holmes at EVONA or apply now to take your autonomy career to the next frontier.

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.

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

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.

ViaBot Inc. opening for a Robotics Deployment Engineer Full-time | In-person | California-based | Traveling (25%-50%) About us Here at ViaBot, we're building robots designed to tackle real-world tasks. Our AMR, ViaBot One, is designed to handle outdoor commercial tasks like sweeping and security. With deployments across the nation and over 3.3 billion square feet cleaned, our aim is to change the way people see robots-not as gimmicks or as one-trick ponies, but as practical solutions to industry needs. Learn more about us at: ********************** Who we're looking for ViaBot is looking for a passionate Robotics Deployment Engineer to take charge of the technical side of nationwide deployments of the ViaBot One robot platform. On one hand, you'll manage project-level timelines for software provisioning and mapping setup, and communicating these to our heads of Business and Operations. On the other, you'll work closely with our onboard compute platform, multilayered perception stack, and the processes involved in collecting data for and building 3D maps. This role is best suited for someone with excellent interpersonal skills, technical prowess across software and electronics, and a strong sense of ownership over their work. Responsibilities Collect data from customer properties to create 2D and 3D maps, which will be deployed to the robot and enable autonomous operation Manage the imaging of our x86-based compute platforms running Linux Manage software configurations for our various sensors and mechatronics Forecast and communicate mapping timelines to Operations and Business teams Evaluate autonomy performance on sites, debugging issues and corner cases Assist Operations with resolving technical issues, and relaying those findings to dev teams Role requirements Bachelor's degree in robotics, computer science, IT, or a related field 3+ years of professional work experience in robotics Must have work authorization in the United States Must have a driver's license, and be willing to drive 25%-50% of the time for work Physical requirements Must be able to lift 50lbs Must be able to remain in a stationary position for extended periods (up to 50% of the time) Must be able to work safely in outdoor conditions and around moving vehicles Required knowledge ROS1 and Rviz C++ Python CloudCompare, or similar pointcloud editing programs GIMP, or other image editing software Inkscape, or other vector graphics editing software Linux and command line tools (shell scripting, driver installation) Sensor calibration and basic debugging (cameras, GPS, lidar) PC assembly (consumer-grade hardware) Basic electromechanical troubleshooting (visual inspection, probing voltage, methodical testing) Preferred experience (huge plus!) Robotics software development Simultaneous Localization and Mapping (SLAM) algorithm development Internet of Things (IoT) software development Software configuration deployment at scale Asset tracking and management software Schedule & Benefits: Full-time Comprehensive benefits: Health, dental, vision, life insurance, paid time off, FSA/HSA, and more Ready to tackle real-world problems, see new places, and deploy some of the smartest robots around? We'd love to meet you.

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.

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.

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).

About Us: Turbalance AI is an innovative, emerging startup that transforms AI laws. We are a team of passionate problem-solvers who believe in what we're building. We constantly push boundaries and embrace our inner nerds as we find new ways to tackle complex challenges. You will find a dynamic work environment here, with flat or even nonexistent hierarchies and the chance to take on responsibility from day one. About the Role: We're looking for a Forward Deployed Engineer to join our growing team! In this role, you'll be a key technical partner for our customers across the entire customer lifecycle-from pre-sales technical support through onboarding, implementation, and ongoing enablement. If you're a technically versatile problem-solver with a passion for helping customers succeed and want to build a great company, we want to hear from you. We're looking for candidates who can grow across both domains: Infrastructure & DevOps Focused: Strong in infrastructure design, DevOps, software development, and performance analysis. Experience integrating products into mission-critical infrastructure with fluency in SLAs, system design, and incident response. Systems & Network Processing Focused: Focused on network processing, data flows, device/system software design, and hardware integration. Background working with high-performance middleware or analytical software. What You'll Do: Customer Engagement & Enablement Guide customers through onboarding, ensuring they are fully prepared and proficient in using our solutions Conduct training sessions and develop enablement materials tailored to customer needs Proactively identify opportunities for customers to maximize platform value Act as a trusted technical advisor, offering best practices and solutions to common challenges Technical Implementation & Support Provide hands-on support for solution setup and configuration within customer environments Support API and system integrations with existing customer infrastructure Diagnose and resolve technical issues, collaborating with engineering teams on complex problems Troubleshoot connectivity, performance, and deployment challenges Pre-Sales Technical Support Support the sales team with domain expertise and technical credibility Demonstrate technical capabilities and solution fit during the sales process Design integration approaches and implementation plans for prospective customers Cross-Functional Collaboration Gather customer feedback and relay insights to product and engineering teams Reduce workload on core engineering teams by handling customer-facing technical work Provide responsive, dedicated customer engagement to build long-term relationships What You'll Bring: Strong background working with diverse technology stacks, with ability to quickly learn and adapt to new technologies Solid coding foundation with C++ and Python as must-haves; demonstrable understanding of robust software development principles Understanding of the interplay between software and hardware behavior and performance (GPUs, CPUs, networking) Proficiency with Kubernetes for deploying, scaling, and managing containerized applications Genuine desire to help customers achieve their goals, with excellent communication and interpersonal skills; prior experience in deep, durable customer-facing technical roles Ability to thrive in a fast-paced, multidisciplinary, dynamic environment while managing multiple priorities Bonus Points: Experience with additional programming languages (PyTorch, Rust, Go) Familiarity with cloud platforms (AWS, Azure, GCP) Experience with OpenStack and/or Slurm Knowledge of network operating systems and hardware (Arista, Cisco, Mellanox) and network engineering (especially switching) Familiarity with AI/HPC networking protocols (RoCE and/or InfiniBand) Demonstrable experience with performance characterization and profiling, especially for processors, memory systems, and networks Experience with kernel debugging Experience with LLM deployments, even at small scale Background in infrastructure design, SLAs, system design, and incident response Field Applications Engineering or similar hardware-focused customer engineering experience Why Join Us? Competitive pay & perks -because great work deserves great rewards. Work on your terms - flexible hours and remote-friendly culture. Fast lanes, no red tape - flat hierarchies and rapid decision-making Make it happen - your ideas aren't just heard - they become reality. Right place, right time -be part of our growth story and build a career-defining legacy. Globality design - work with a diverse, international team across Germany and the US. Work with the best - work alongside exceptional engineers and raise the bar together. Turbalance is an equal opportunity employer. We value and celebrate diversity while fostering an inclusive environment. We are committed to providing a workplace free from discrimination or harassment, regardless of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.

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!

Subtle Medical is a leading provider of AI-powered imaging solutions, optimizing scan efficiency and image quality across radiology. Recognized by TIME as a World's Top Healthcare Company (2025) and multiple times as a CB Insights GenAI 50, Digital Health 150, and Top AI 100 company, Subtle Medical is committed to transforming medical imaging through responsible and intelligent software. The company's solutions are deployed on over 1000 scanners worldwide, helping imaging centers and hospitals deliver faster scans, improve image quality, and enhance patient care without the need for new hardware. The Role The Machine Learning Software Engineer role at Subtle Medical will join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Subtle Medical is the world leader in applying deep learning to the acquisition of medical images in order to enable faster, safer, and smarter medical imaging. We are committed to transforming the healthcare ecosystem by building and delivering responsible AI solutions that create a measurable impact on the radiology workflow and patient experience. Our vision is that every human being has the opportunity for a timely diagnosis, high-quality care, and a longer, healthier life. Currently, Subtle Medical has several FDA-cleared & CE-marked AI software products that are in clinical usage in over 900 hospitals and imaging centers worldwide. Subtle has a robust multi modality product portfolio and continues to invest heavily in research and development. Our team consists of world leading radiologists, scientists and engineers from top universities like Stanford, Harvard, and MIT many with past experience at leading equipment manufacturers like GE, Philips and Siemens. Subtle Medical has been recognized multiple times by CB Insights as a global Top 100 AI Company and Top 150 Digital Health Company. We continue to grow and expand and welcome those to apply who desire to empower patients and physicians with better healthcare. Subtle Medical is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Job Responsibilities Build software systems that enable AI-powered image enhancement and analysis algorithms in the clinical workflow Write computer code to set up deep learning network architecture Support and participate in applicable Quality Management System (QMS) processes for Subtle Medical AI/ML Software as a Medical Device (SaMD) products. Feed imaging data into this model for training and evaluating the results on a separate test set Participate in applicable data protection related activities, such as audits, investigations, and training, and comply with all applicable company policies and procedures. Deploy and maintain our software systems both on the cloud and at work sites Build and maintain CI/CD tools for our softwares Complete models and simulations, using manual or automated tools, to analyze or predict system performance under different operating conditions Monitor system operation to detect potential problems Identify system data, hardware, or software components required to meet user needs Maintain logs of any code modifications Conceive and document software design and testing plans Test performance of multiple deep learning models Improve the efficiency of deep learning algorithms to allow them to be run on standard hospital scanners Collaborate with the research team in developing next generation AI-powered medical imaging products Build and maintain experiment tracking tools Build and maintain model training, validation and deployment infrastructure Publication and other dissemination of new technologies Submit patent applications on significant new advances Qualifications Programming skills in Python/C/C++ Understanding of general principles of medical imaging and/or Deep Learning pipelines on medical images Working knowledge of Quality Management System (QMS) regulations and applicable familiarity with ISO 13485, ISO 14971, IEC 62304, and IEC 62366. Education Master's degree in Computer Science or relevant field Work Experience 5 years work experience in software engineering as a full stack developer and/or ML Ops Engineer Nice to Haves 5+ years work experience in software engineering for medical imaging Industry Computer Software / SAAS Medical Imaging/Radiology Hospital & Health Care Employment Type Full-time Location This is a remote role with potential for 5% travel. Travel is usually restricted to team meetings. Candidates in the San Francisco Bay Area are given the option to work hybrid at the Menlo Park office. Job Functions Engineering Want to apply? Please email ************************* with your resume/CV and the job title in the subject line. Be sure to include all applicable information that supports your qualification and interest in this role.

At Viven, we are pioneering the next generation of AI-powered Digital Twin solutions that help enterprises unlock the power of organizational intelligence. Our platform integrates data across ecosystems, creates actionable insights, and empowers leaders to drive innovation, efficiency, and growth. We are reimagining the future of work by solving one of the toughest challenges for enterprises: knowledge continuity . When employees join or leave, when teams scale, or when leaders need to be in two places at once - Viven ensures memory, style, and execution carries forward. Our platform blends personalization with enterprise-grade trust and privacy. Role Overview: We are looking for an experienced Full-Stack Engineer with strong experience in Next.js to join our core engineering team. This Full-Stack Software Engineer will be responsible for designing and implementing features across both the frontend (70%) and backend (30%), with a primary focus on building user-facing applications that are fast, scalable, and user-friendly. Key Responsibilities: Design and implement efficient, scalable APIs and interfaces that connect frontend applications to backend systems. Develop responsive, user-friendly web applications in Next.js, ensuring speed, accessibility, and cross-device performance. Optimize applications for performance, scalability, and maintainability, balancing rapid iteration with solid engineering practices. Collaborate cross-functionally with product managers, designers, and researchers to conceptualize and ship new features. Troubleshoot and debug issues across the application stack, including frontend performance, backend integration, and deployment challenges. Contribute to code reviews, technical discussions, and architecture decisions, helping set best practices for a growing team. Play a key role in 0→1 product development, turning prototypes into production-ready features. Qualifications: 3+ years of professional experience as a full-stack or frontend engineer Strong technical background (degree in Computer Science, Engineering, or related field preferred, or equivalent experience). Strong expertise in Next.js is a must. Solid experience with modern frontend development (React, TypeScript, CSS frameworks). Hands-on backend experience at the application level: building and maintaining APIs, working with databases, and troubleshooting backend issues. Understanding of scalability and performance optimization for web applications. Experience working at early-stage startups or on 0→1 product launches. A self-starter mindset-comfortable owning projects, making decisions with incomplete information, and iterating quickly. Strong communication and collaboration skills. Learn More About Us: Viven Emerges from Stealth | TechCrunch Visit our Careers Page Equal Opportunity Employment: Viven is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants. We value diversity and are dedicated to fostering an inclusive environment for all employees, regardless of race, color, sex, gender identity or expression, age, religion, national origin, ancestry, citizenship, disability, military or veteran status, genetic information, sexual orientation, marital status, or any other characteristic protected under applicable law. If you are passionate about AI and eager to make an impact, we would love to hear from you. Apply today to join the Viven team and help us build the future of AI.