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Job Title: Full Stack Developer Location: Sunnyvale, CA (Hybrid – 2-3 days onsite) Employment Type: Full-Time Interview Mode: Onsite Interview Required Salary range: B/W $110-120K Must have skills: • 5+ years of experience in full stack development, • Strong proficiency in JavaScript (ES6+) and/or TypeScript, • Hands-on experience with Node.js and frameworks like Express.js or NestJS, • Strong experience with React.js, hooks, and state management (Redux/Context API), • Experience building and consuming REST APIs, • Knowledge of databases such as MongoDB, MySQL, or PostgreSQL, • Familiarity with Git and version control workflows, • Strong problem-solving and debugging skills

Business Area: Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. This role is not eligible for immigrationsponsorship. Cloudera is looking for a Staff Software Engineer to join the Enterprise AI Platform team and help drive development of Cloudera's next-generation AI and machine learning platform. You will be responsible for helping design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create & deploy Generative AI applications using foundation models with enterprise data at scale. This role requires an empathetic mindset and close collaboration with front-end/web UI engineers, data scientists, designers, and product management. We look for "The Startup Spark", a desire to create new things, dive in wherever there's a need, eagerness to make an impact as an individual, and the willingness to learn new things. You must be self-motivated, innovative, and proactive. The role offers significant opportunities for growth. Read about the Forrester Wave Report on Cloudera's Machine Learning offerings ___. As a Software Engineer you will.... * Help build the leading platform for AI and Machine Learning in the enterprise. * Design, code, and implement elegant, scalable, enterprise-quality AI application services powered by machine learning models. * Work to enhance developer velocity and team agility. * Build strong relationships and collaborate with platform and front-end engineers, quality engineers, UX designers, as well as Product Management, Field, Professional Services, and other partners. We are excited if you have.... * 10+ years of experience building scalable microservices or applications using Go, Node.js, C# or Java * Experience with foundation models, prompt engineering, fine-tuning, semantic search and Retrieval-Augmented Generation (RAG) using vector databases such as Pinecone, Milvus, etc. * Experience building and deploying Generative AI applications. * Experience with microservices design and development (Go, GRPC, SQL) on Kubernetes * Demonstrate ability to go deep into technology and complex distributed systems * Experience in crafting high-level and low-level design * Experience building scalable, robust and secure enterprise applications * Self-driven and motivated, with a strong sense of ownership and craftsmanship * Strong written and verbal communication skills. You may also have... * Experience with Generative AI frameworks (LangChain, Guidance, NeMo etc.). * Experience with building AI applications with machine learning models using data science and machine learning tools (Python, Tensorflow, Spark, MLflow, R, etc.) * Experience with at least one of the following Cloud technologies - Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure * Full-stack experience with React, HTML, CSS. * Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep understanding of cloud-based networking * Experience with AI/ML orchestration software (Kubeflow, KServe, Knative) * Experience using Big Data technologies like Spark, Hive etc. * Proven track record of collaborating with agile teams across geographically dispersed locations What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-SZ1 #LI-HYBRID

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Supermicro is looking for a Software Engineer - Production. This position will be based at our headquarters located in San Jose, CA. The engineer will work across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth. The candidate will also develop new features and infrastructure development in support of rapidly emerging business and project requirements. In addition, the production engineer will ensure application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design. Includes the following essential duties and responsibilities (other duties may also be assigned): • Participate in all aspects of agile software development including design, implementation, and deployment, • Architect and provide guidance on building end-to-end systems optimized for speed and scale, • Work primarily in JavaScript, TypeScript, React and Nodejs, • Deploy and maintain service on K8s cluster, • Engage with inspiring designers and front end engineers, and collaborate with leading back end engineers as we create reliable APIs, • Collaborate across GitHub comments, documents, • Bachelor's degree in Computer Science, Information Technology, or Engineering, • 1+ years of experience building large scale software applications, • Experience building web applications, • Experience designing and integrating GraphQL, RESTful APIs, • Knowledge of Docker, Nodejs , React, Sql, and Javascript, • Excellent debugging and optimization skills, • Unit/integration testing experience $100,000 - $160,000 The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs. Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

The application window is expected to close on: 04/10/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team Our team delivers endtoend engineering across the software stack, specializing in Linux kernel development, Yoctobased opensource systems, and platform security. We maintain and evolve the core kernel, integrate and optimize Yocto layers, and drive security hardening with a strong focus on CVE triage, patching, and compliance. We are also building the next generation of intelligent engineering tools through Agentic AI applications that accelerate developer productivity, automate debugging workflows, and enhance system observability. In parallel, we develop machine learning solutions for hardware failure prediction, enabling proactive reliability management and datadriven product quality improvements. Together, we combine deep systems expertise with advanced AI capabilities to deliver a secure, reliable, and intelligent software platform. Your Impact Senior AI/ML Engineer to architect and build agentic AI systems and the MCP (Model Context Protocol) server layer that securely exposes enterprise tools, knowledge, and actions to LLM agents. You'll lead the end-to-end lifecycle of ML applications from data and modeling to deployment, observability, and safety while setting platform standards for reliability, security, and developer experience. Minimum Qualifications: • BS/MS in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related technical field., • 7+ years of industry experience delivering production AI/ML systems or developer platforms at scale., • Experience with Python, plus one of the following: Go/Java/C++/Rust., • Experience building agentic AI systems (tool-using agents, autonomous workflows, decision/action pipelines)., • Hands-on experience designing, implementing, and operating MCP servers (capabilities, sessions, schemas, secure integrations)., • Knowledge of LLMs & GenAI: prompting, RAG, vector search, fine-tuning/LoRA, safety/guardrails, evaluation., • Production experience with cloud (Azure/AWS/GCP), Docker/Kubernetes, CI/CD, and observability (metrics, tracing, logging). Preferred Qualifications: • Shipped enterprise-grade MCP servers integrating internal tools and external SaaS., • Experience with LangChain, Semantic Kernel, or agent frameworks; Hugging Face Transformers, PyTorch/TensorFlow/JAX., • Retrieval systems & vector DBs (FAISS, Milvus, Weaviate, Pinecone); hybrid search and embedding strategies., • Strong data engineering background: streaming/batch (Kafka/Kinesis/Pub/Sub; Spark/Beam), SQL/NoSQL, data lakes/warehouses., • Security & governance: OAuth/OIDC, secrets management, KMS, RBAC/ABAC, SOC 2/ISO 27001, GDPR/CCPA familiarity., • Contributions to open-source in LLM tooling, agent frameworks, or retrieval/search. At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. The starting salary range posted for this position is $165,000.00 to $241,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $165,000.00 - $277,600.00 Non-Metro New York state & Washington state: $146,700.00 - $247,000.00 • For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. The SaaS Engineering organization within the Cisco Networking Group is committed to revolutionizing the deployment of generative AI applications. Our mission is to improve IT visibility and deliver comprehensive analytics for the AI infrastructure stack. By using ground-breaking technologies, we are developing next-generation SaaS-based controllers designed to efficiently manage Data Centers with AI/ML solutions like Nexus Hyperfabric. ___ You will shape the Hyperfabric data strategy and execute it. You will build and maintain in-product dashboards, APIs, and 3rd party system integrations, all while handling high-volume streaming data such as device telemetry, system alerts, etc. You are committed to designing and building robust and scalable systems that are easy to understand and maintain. Your contributions will directly impact how our customers interact with Hyperfabric by giving them visibility into their data centers' performance, health, and more. You will innovate at the intersection of data + AI. You will define and deploy our strategy to collect and stage our telemetry data. Leveraging this, you will build the AI workloads that transform this data into meaningful insights that we surface to our customers, including error detection, troubleshooting, performance tuning suggestions, etc. * Design and build forward-looking, performant, well-tested software with a specific focus on Go and Python. As a backend data engineer, you will focus on supporting both internal and external use cases. * Design and build data pipelines that support Hyperfabric's data APIs and notification streams, leveraging Druid, Kafka and more. Benchmark and tune these pipelines to support our workloads at high throughput and low latency and with fault tolerance. * Deploy new functionality into production with rollout/rollback planning as well as monitoring and alerting. * Collaborate with product managers, other software engineers, and QA through all stages of the software development lifecycle. * Contribute to the team through technical design reviews, code reviews, and mentoring. * Bachelor's + 12 years of experience or Master's + 8 years of experience in software engineering or related field, with a focus on building cloud systems, including expertise in database, data lake and streaming systems. * Experience building scalable data pipelines using Spark, Flink, or similar technology. * Experience programming with two or more languages such as Go, Python, Bash, Java, C, C++. * Experience with AI-based code tools such as Codex, Claude Code, etc * Experience deploying or using Data Lakes/Warehouses, including storage, table format, and processing. * Experience building and deploying AI-backed functionality, either customer-facing features or internal productivity tools. * Expertise with Druid or another time-series analytics database. * Expertise with Kafka or another streaming system At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. The starting salary range posted for this position is $210,600.00 to $305,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $210,600.00 - $350,800.00 Non-Metro New York state & Washington state: $189,300.00 - $312,200.00 • For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Full-stack Engineer Location: SFO,CA Duration: Long Term Job Descriptions: At least 7 years of experience, preferably working as part of a team Deep knowledge of React, Typescript and Javascript (Node) Experience with deploying containerized services to cloud computing platforms like AWS or Google Cloud Familiarity with relational database systems like PostgreSQL or MySQL Proven track record of designing, building, delivering, and maintaining critical web-based software You love working in a fast-paced and dynamic environment Extremely organized, detail-oriented, and thorough in every undertaking Excellent verbal and written communication skills Description This is a senior full-stack software engineering role. You’ll work closely day-to-day with other engineers, designer, and PM to plan, design, build, and ship high quality software. Designing and implementing reliable web applications and APIs independently Writing high quality and testable code with quality test coverage and reviewing the work of your peers Participating in architecture and technical decisions with strong critical thinking Using software engineering pipeline tools (CI/CD, unit testing, manual testing, etc.) Researching and developing new technologies and developing proofs of concept

Full-stack Engineer Location: SFO,CA Duration: Long Term Job Descriptions: At least 7 years of experience, preferably working as part of a team Deep knowledge of React, Typescript and Javascript (Node) Experience with deploying containerized services to cloud computing platforms like AWS or Google Cloud Familiarity with relational database systems like PostgreSQL or MySQL Proven track record of designing, building, delivering, and maintaining critical web-based software You love working in a fast-paced and dynamic environment Extremely organized, detail-oriented, and thorough in every undertaking Excellent verbal and written communication skills Description This is a senior full-stack software engineering role. You’ll work closely day-to-day with other engineers, designer, and PM to plan, design, build, and ship high quality software. Designing and implementing reliable web applications and APIs independently Writing high quality and testable code with quality test coverage and reviewing the work of your peers Participating in architecture and technical decisions with strong critical thinking Using software engineering pipeline tools (CI/CD, unit testing, manual testing, etc.) Researching and developing new technologies and developing proofs of concept

AI Data & Python Tools Engineer We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems. Responsibilities: • Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks, • Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods, • Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions, • Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability, • Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle Software Engineering & AI/ML Data, Tools Development • 3+ years of Python Development with a background in back end services and data processing, • Exposure to AI/ML algorithms, • Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn), • Understanding of LLMs, vector databases, and retrieval systems, • Experience with Model Context Protocol (MCP) integration and server development Big Data & Cloud Infrastructure • Knowledge of building and deploying cloud based applications, • Hands-on experience with cloud data platforms (AWS/GCP/Azure), • Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms), • Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes, • Knowledge of containerization (Docker/Kubernetes) and infrastructure as code *Preferred Experience • Experience building web applications with modern frameworks (React, Vue, or Angular), • API development and integration experience, • Basic UX/UI design sensibilities for internal tooling, • Experience with real-time data processing and analytics, • Background in building developer tools or internal platforms, • Familiarity with AI/ML operations (MLOps) practices (Experience using airflow), • Experience building MCP servers and integrating with AI assistants, • Knowledge of structured data exchange protocols and API design for AI systems. Type: Full Time Location: Austin, TX or Cupertino, CA (Monday- Friday onsite)

We’re seeking a Senior Mechanical Engineer for our special projects team to lead development of complex electromechanical consumer hardware products from concept through production. This role involves ownership across the full product lifecycle, including architecture, CAD, prototyping, validation, and manufacturing scale-up, working closely with cross-functional engineering and product teams. You’ll help shape next-generation sensor-integrated hardware systems in a fast-paced environment with strong technical ownership and visibility. Responsibilities • Architect and design complex electromechanical systems incorporating plastics, metals, soft goods, sensors, and actuators, • Drive development from concept through CAD, prototyping, testing, and ramp to production, • Partner cross-functionally with electrical, software, reliability, manufacturing, and product teams, • Perform thermal, structural, and fluid analyses to validate product performance, • Support manufacturing transfer and scale production with overseas partners, • Contribute to product direction alongside industrial design, marketing, and leadership stakeholders Requirements • 3+ years of experience designing high-volume consumer hardware products, • Strong experience with injection molding, sheet metal forming, and sensor/electronics integration, • High proficiency with 3D CAD tools (SolidWorks, NX, Creo, or similar), • Experience with DFM/DFA, tolerance stack-ups, and GD&T, • Familiarity with root cause analysis, DOEs, and engineering validation methodologies, • Bachelor’s degree in Mechanical Engineering or equivalent technical discipline, • Willingness and ability to travel internationally as needed to support manufacturing scale-up

Pivotal Partners is exclusively partnered with a Series A ($150m) AI company defining a new category at the intersection of Agentic AI, behavioural science, and enterprise decision intelligence. Backed by top-tier investors and founded by a deeply technical, research-led team from Stanford and MIT, the company is quietly gaining traction with a 10+ FT500 companies already using their platform. Rather than analysing what already happened, the platform allows companies to test and evaluate decisions before they’re made. Therefore, placing slow, reactive workflows with something far more dynamic. With technical deployment and customer impact at the core of the GTM strategy, this Forward Deployed Engineer role is critical to how the product gets adopted, expanded, and defined in the real world. Location: San Fransisco Role: Forward Deployed Engineer (FDE) As a Forward Deployed Engineer, you will own the technical success and real-world application of the platform across a number of our largest customers. This is a highly strategic, customer-facing engineering role focused on building, deploying, and iterating on solutions... not support. You’ll work directly with senior stakeholders (engineering, product, and leadership) to turn ambiguous problems into production-grade systems that influence real decisions. Why this role: • Research pioneered and developed in the research labs of Stanford and MIT., • Opportunity to join and work with leading engineers from Anthropic, OpenAI, Palantir and Scale AI., • Highly technical role with direct exposure to real-world outcomes, • Work sits at the intersection of engineering, product, and strategy, • Genuinely new problem space — no established playbooks, • High ownership and autonomy from day one If you're an Software engineer/Full Stack Engineer who wants to move closer to the problem, the customer, and the decision making itself, this is worth a conversation. Responsibilities: • Own the technical relationship for a portfolio of enterprise customers, • Scope and break down ambiguous, high-impact problems into solvable components, • Design and build production-grade systems (APIs, data pipelines, integrations), • Deploy solutions into real-world workflows that directly influence decision-making, • Act as a trusted advisor to senior engineers, architects, and executives, • Translate customer use cases into actionable product and engineering insights, • Partner closely with Product and Engineering to shape roadmap and capabilities, • Help define and scale how this technology is applied across industries Requirements: • MUST HAVE A STEM degree, • Strong software engineering fundamentals (Python, TypeScript, or similar), • Experience building backend systems, data pipelines, or distributed systems, • Comfortable working with APIs, integrations, and modern infrastructure, • Ability to operate in ambiguous, fast-moving environments with minimal structure, • Strong communication skills across both technical and non-technical audiences, • Experience in customer-facing technical roles (FDE) is beneficial but not required

About the job This role is being recruited by CoffeeSpace on behalf of Chief AI – an early-stage startup building the AI command center for the world’s leaders. We’re identifying a small number of exceptional engineers from our network. If there’s a strong fit, we’ll introduce you directly to the founding team. Founding Engineer Location: San Francisco (on-site) Compensation: $150k–$180k + meaningful equity Employment type: Full-time About Chief AI Chief AI is building the AI-native operating system for leadership. They work with executive teams across government and enterprise — helping leaders manage time, relationships, and strategy in one place. Think: • Linear for product teams, • Salesforce for sales teams, • Chief AI for executive offices Early traction: • Launched at SXSW, featured in Axios, • Deployed with executive teams (including the Mayor of Denver’s office), • Actively used by leaders across government and enterprise Founded by Shannon Beckham (Stanford GSB, White House, Congress, Together AI). Backed by top VCs and part of StartX. Based in-person in San Francisco. The role You’ll build the AI-native system that powers how leaders operate. Working directly with the founder, you’ll: • Ship product end-to-end (frontend, backend, AI, infra), • Design agentic workflows for real-world executive use, • Turn messy, high-context inputs into structured reasoning and decisions, • Work closely with customers (CEOs, public sector leaders, exec teams) This is a true 0→1 founding role – high ambiguity, high ownership, fast iteration. What this requires • 4+ years shipping production-grade products (full-stack), • Strong Python, TypeScript, React, • Experience building AI-native features (LLMs, agents, RAG, embeddings), • Comfort using AI across your dev workflow (build, test, iterate), • Product-driven, customer-obsessed mindset, • Ability to operate in fast-moving, ambiguous environments Note: Must be a US citizen (security clearance eligibility) Nice to have • Early-stage (0→1) startup experience, • Experience in government or regulated environments What success looks like Within months: • Core agent workflows used daily by executive teams, • AI systems powering briefings, decisions, and relationships, • Tight feedback loops with real users shaping product direction Why this role Most AI tools optimize workflows. This builds how decisions get made at the highest levels. Your work will directly impact: • How leaders spend their time, • How decisions are made, • How organizations operate If you want ownership, speed, and real-world impact at the highest leverage layer, this is that kind of role. Next steps • Apply via this LinkedIn job post, • We’ll review and reach out if there’s a strong match, • If aligned, we’ll introduce you directly to the Chief AI team If this role isn’t the right fit, we may suggest and make introductions to other high-signal startup roles we’re recruiting for – always with your permission. A quick note on authenticity This is a real, active role that CoffeeSpace is recruiting for on behalf of Chief AI. We don’t post speculative roles and work directly with hiring teams.

A fast-growing robotics company is building autonomous systems designed to automate repetitive tasks within the global infrastructure and construction sector. The company’s mission is to help address workforce shortages while accelerating the development of critical infrastructure projects. Their robotics platforms combine advanced autonomous navigation, cloud software, and intelligent field tools to improve precision and efficiency across construction environments. With a growing fleet of robots already deployed across multiple project sites globally, the company is developing the next generation of automation tools used in areas such as infrastructure development, surveying, energy projects, and large-scale construction. The company is seeking a Full-stack Developer to design and maintain the software systems that power its robotics ecosystem — including operator dashboards, cloud infrastructure, and applications that interface with robots operating in the field. This role will contribute to building reliable tools for mission planning, fleet monitoring, and communication between cloud systems and robotic platforms. The position involves close collaboration with robotics engineers, field operations teams, and product stakeholders to ensure the software delivers measurable impact in real-world environments. Key Responsibilities • Design and develop full-stack applications for device management, mission control, and fleet coordination., • Build and maintain mobile applications used by field operators., • Develop desktop applications used to interface with robotic systems., • Create web dashboards and APIs for mission planning, telemetry visualization, and operational data analysis., • Integrate cloud infrastructure for data storage, monitoring, and deployment., • Ensure reliable communication between cloud services and deployed robotic systems., • Collaborate with robotics, product, and field teams to deliver integrated software functionality., • Write technical documentation for APIs, system architecture, and software modules., • Optimize systems for scalability, reliability, and performance in field environments., • Requirements, • Education, • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Experience • 4+ years of professional full-stack development experience., • Strong experience with JavaScript / TypeScript using modern frameworks such as React, Next.js, and Node.js., • Strong UI/UX development experience using modern CSS frameworks., • Experience building mobile applications using React Native., • Experience developing cross-platform desktop applications., • Production experience with cloud platforms such as AWS including APIs, storage, and deployment pipelines., • Strong understanding of software architecture, testing methodologies, and performance optimization., • Proficiency with development tools including Git, issue tracking systems, and CI/CD pipelines. Soft Skills • Strong analytical and problem-solving ability., • Ability to collaborate effectively in a fast-paced engineering environment., • Strong ownership mindset and communication skills., • Preferred Qualifications, • Experience working with robotics systems or robotics middleware., • Familiarity with real-time communication protocols such as WebSockets or MQTT., • Experience working with IoT devices, connected hardware, or industrial systems., • Experience working with performance-sensitive or multi-threaded applications., • Experience with containerization technologies such as Docker or Kubernetes.

Ema, a Series A startup founded by serial entrepreneurs and ex-Google, Coinbase, and Okta executives, is revolutionizing the AI landscape to empower employees across enterprises, unlocking their creativity and productivity. Backed by top investors and angels, we are transforming the way businesses operate. Currently in stealth mode in Silicon Valley, Ema is seeking a highly talented and experienced Full Stack Engineer with a focus on front-end development to join our founding team. The ideal candidate will have a passion for building captivating user experiences while also contributing to back-end architecture and API integrations. This is a unique opportunity to make a substantial impact on a cutting-edge product. Opportunity Summary: Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the Universal AI employee. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world. Ema is based in Silicon Valley with offices in Bangalore. This will be a hybrid role where we expect employees to work from the office three days a week. In this role, your work will involve: Product Strategy & Vision: • Define and communicate the product strategy and roadmap based on market trends, customer needs, and company goals., • Conduct market research and competitor analysis to identify opportunities, gaps, and market demands., • Understand customer needs and translate them into product requirements., • Collaborate with engineering, design, and marketing teams to deliver products that are functional, user-friendly, and aligned with business goals., • Prioritize product features, enhancements, and bug fixes based on customer feedback, technical feasibility, and business impact., • Work closely with cross-functional teams (sales, marketing, customer support) to ensure successful product launches., • Communicate progress, roadblocks, and product updates with stakeholders and teams across the organization., • Define key performance indicators (KPIs) for product success., • Track product performance post-launch and gather customer feedback for continuous improvement., • Present product updates, roadmaps, and strategies to senior leadership and key stakeholders., • Collaborate with the marketing and sales teams to define go-to-market strategies for product launches., • Ensure proper communication and training for internal teams and customers during product releases. Qualifications: • Bachelor’s degree in Business, Marketing, Computer Science, or a related field. An MBA or equivalent experience is a plus., • 3-5 years of experience in product management, preferably in the tech or software industry., • Strong understanding of product development processes, including agile methodologies., • Ability to work with cross-functional teams and influence without direct authority., • Excellent communication, leadership, and problem-solving skills., • Analytical mindset with the ability to interpret data and make informed decisions., • Strong organizational and project management skills. Preferred Skills: • Familiarity with tools like JIRA, Asana, or other project management platforms., • Knowledge of user experience (UX) design principles., • Experience working with APIs and technical teams., • Data-driven mindset with experience in A/B testing and user research methodologies. For California based candidates: The standard base salary for this position is $135,000-$190,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

Autonomy Software Engineer A fast-growing, venture-backed company is building next-generation electric mobility platforms designed to transform transportation across waterways. With a focus on zero-emission systems and high-efficiency vehicle design, the team is developing cutting-edge solutions at the intersection of autonomy, robotics, and marine engineering. Backed by leading investors and founded by engineers from top-tier institutions, the company is entering a key growth phase and scaling its autonomy capabilities. The Role Seeking a Senior Autonomy Software Engineer to lead development of autonomy systems for a novel electric mobility platform operating in real-world environments. What You’ll Do • Lead development of autonomous docking and low-speed maneuvering systems, • Build core autonomy capabilities including perception, localization, planning, and control, • Design and integrate sensor suites suited to challenging real-world environments, • Develop robust navigation systems that operate safely within constrained and dynamic environments, • Play a key role in shaping and scaling the autonomy software team What We’re Looking For • Degree in Computer Science, Robotics, or related field, • Experience building and deploying autonomy systems in real-world environments, • Strong understanding of full autonomy stack (perception, localization, planning, controls), • Hands-on experience with optimal control methods (e.g. iLQR, MPPI), • Strong programming skills in C++ and Python, • Comfortable working in a fast-paced, early-stage environment Nice to Have • Experience with ROS2 or similar middleware, • Background in vehicle dynamics (e.g. robotics, automotive, aerospace, marine), • Experience working on systems operating in complex, unstructured environments Additional Notes • On-site / hybrid depending on location, • US Citizens only. No visa sponsorship available

Company: interface.ai Location: Palo Alto, CA (In-Office) Reports to: VP of Product Compensation: $250,000 - $280,000 base salary + bonus + equity (depending on location & experience) About interface.ai Banking hasn't kept up with how people actually live their financial lives. At interface.ai, we're building AI-native products that transform how millions of Americans interact with their financial institutions, making every interaction intelligent, personal, and proactive. Our platform powers AI agents that handle real banking tasks end-to-end: moving money, resolving issues, converting loans, and surfacing financial insights across voice, chat, and digital channels. We're not building another chatbot. We're building the AI infrastructure that will become the primary way people bank, unlocking a massive market opportunity by displacing the legacy systems that financial institutions have been stuck with for decades. With two-thirds of Americans living paycheck to paycheck, only 17% financially literate, and 50% holding less than $500 in savings, the urgency is real. We're putting financial well-being on autopilot. We power AI agents for 100+ financial institutions, serving millions of banking members across the U.S., and are backed by leading investors including Avataar Venture Partners and Blume Ventures. Our platform enables banks and credit unions to automate high-volume customer interactions across voice and digital channels while improving resolution rates, reducing operational costs, and increasing customer engagement. Key credibility anchors: • Series B AI company building agentic AI infrastructure for financial institutions, • Trusted by 100+ banks and credit unions across North America, • Serving millions of end users through conversational AI across voice, chat, and mobile channels The Opportunity You will own the AI platform that every product at the company depends on. This is not a support function: the platform is the competitive moat. Your decisions directly determine the ceiling of what every other product team can build. You'll inherit a multi component platform, assess what exists, and define what comes next: what to consolidate, what to invest in, what to sunset. As the senior IC in a pillar of 3-4PMs, you'll set technical direction, mentor, and raise the quality bar, while partnering with engineering leadership to scale the system to millions of end users at startup speed. What You'll Own • Agent runtime & orchestration: multi-agent orchestration, memory/context management, tool routing, goal planning, and policy-aligned behavior, • Platform contracts: APIs, versioning, deprecation, and migration strategy: you define the boundaries and the lifecycle for all consuming teams, • Model lifecycle: selection, evaluation, benchmarking, fine-tuning enablement, and prompt optimization. You define when to prompt-tune vs fine-tune vs switch models., • Inference performance & reliability: latency budgets, caching, batching, quantization, multi-region deployments, fallbacks, and safe rollout patterns (canaries, feature flags, rollback), • Safety & compliance: PII detection/masking, prompt/response safety policies, tenant isolation, SOC2/GDPR readiness, audit logs, and encryption: compliance is a product requirement, not an afterthought, • Evaluation & quality: offline golden sets, regression testing, hallucination measurement, task success metrics, and production-to-improvement feedback loops, • Voice & multimodal: ASR/TTS integration patterns, WER, interruption handling, turn-taking, and latency budgets for real-time conversational intelligence, • Pillar leadership: You set technical direction, mentor, raise the bar, and have input on hiring. You prioritize competing demands from multiple product pillars, define the platform investment thesis, and protect the platform from becoming a feature factory. Who You Are You think in systems, not features. You read a platform outage postmortem and immediately see the product decision that caused it. You've built API contracts that entire product orgs depend on, and you've made the hard call to break one when the platform needed to evolve. You understand the full AI stack: from model training through inference optimization to production monitoring. You can spec a fine-tuning pipeline, set latency budgets for real-time voice, and debate quantization trade-offs with a staff engineer, all in the same week. You build your own tools. You use AI to prototype, analyze, and accelerate your work — building agents, writing scripts, creating automated workflows, whatever gets the job done fastest. Not because someone told you to, but because you can't imagine working any other way. What You Bring • 8+ years in product management, with 3+ years at Staff/Principal level on platform, AI/ML, or infrastructure products, • Owned a multi-component platform serving multiple product teams, not just a single product, • Deep technical fluency: can read code, review architecture, and debug production issues alongside engineers, • Experience with AI/ML platforms: LLM orchestration, model evaluation, fine-tuning, RAG, agentic frameworks, or similar, • Experience governing platform contracts and managing how internal teams consume capabilities, • Built in enterprise SaaS environments with multi-tenant, compliance, and governance requirements, • AI-native workflow: You build with AI daily — creating agents, automating analyses, prototyping with code, building custom workflows. The specific tools don't matter (Cursor, Copilot, Claude, Replit, custom scripts — all count); what matters is that you've moved beyond prompting into building. Bonus Points • Financial services or regulated industry experience, • Voice/ASR/TTS systems and real-time latency-sensitive products, • LLM evaluation frameworks, multi-agent orchestration, or RLHF/RLAIF, • Knowledge graph or RAG-based retrieval systems, • Built a platform team from scratch Our Values • Act Like You're the Founder: Own the outcome from start to finish, • No Fear. Speak Your Mind: Candor moves us forward, • Pursuit of Excellence: Raise the bar, every time, • AI-First Mindset: Think automation, intelligence, and scale-first in every solution, • Don't Assume. Seek to Understand: Start with questions, not conclusions How We Work Every PM builds with AI daily. Our standard toolkit is Cursor, MCP integrations, and custom AI agents — and we onboard every new hire on these tools in their first week. We hold a high quality bar and move at startup speed. Flat organization. No empire-building. What We Offer • 100% company-paid medical, dental, and vision coverage, • 401(k) with company match and financial wellness perks, • Discretionary PTO + paid parental leave, • Mental health, wellness, and family benefits, • Competitive equity with meaningful upside interface.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, disability, or veteran status.

Who We Are: Aurelius Systems is a VC-backed defense tech startup building autonomous, edge-deployed robotics systems using directed energy for counter-UAS. We build laser weapons to shoot down drones. We're a small team of ~10 engineers, former US military operators, and subject matter experts scaling America's directed energy dominance. The first cost effective, reliable and robust laser weapon system. In addition to our San Francisco lab/office, we opened our Detroit manufacturing hub and we field test weekly on our own 400-acre private range. The Role & Your Impact: We need a Laser Engineer who has actually built fiber laser systems. You'll own the laser source from fiber to beam. That means designing, building, and field-testing the high-power fiber laser systems that put energy on target. You'll work across the full optical chain (pump diodes, fiber combiners, gain fibers, beam delivery optics) and make it all survive real-world conditions. This isn't a role where you write papers about pulse dynamics or maintain someone else's laser. You'll splice fiber, align optics, troubleshoot thermal issues in the field, and watch your system destroy a drone. The feedback loop between your bench and the test range is days, not weeks. What You'll Own: • Design and build high-power fiber laser systems from pump architectures, gain stages, and fiber combiners to beam delivery optics, • Perform fusion splicing, fiber preparation, and connector termination for high-power fiber assemblies, • Architect thermal management solutions like heat sinking, active cooling, and thermal modeling to maintain beam quality under sustained operation, • Develop and optimize beam delivery and beam combining systems for maximum power-on-target, • Select and integrate pump diodes, gain fibers (Yb, Er, Tm), fiber Bragg gratings, and passive optical components, • Drive hands-on prototyping, assembly, alignment, and field testing on our range, • Characterize laser performance like output power, beam quality (M²), spectral stability, and thermal behavior under operational conditions, • Perform optical simulations to optimize designs before you build (Zemax, MATLAB, COMSOL, or equivalent), • Design for manufacturability and ruggedization. Our systems must survive transport, vibration, and harsh field environments, • Integrate laser systems with power electronics, perception, and control subsystems, • Generate schematics, BOMs, test procedures, and documentation meeting MIL-STD and ITAR requirements What We're Looking For: • 2–10+ years building fiber laser systems or high-power fiber-based optical systems, • Direct hands-on experience with fusion splicing, fiber preparation, and high-power fiber assembly, • Deep understanding of fiber laser physics, from stimulated emission, nonlinear effects (SBS, SRS), thermal lensing, and how they limit real systems, • Experience selecting and integrating pump diodes, gain fibers, couplers, isolators, and fiber Bragg gratings, • Proficient with optical test equipment (power meters, beam profilers, OSAs, and thermal cameras), • Comfort with optical simulation tools (Zemax, MATLAB, RP Fiber Power, COMSOL, or equivalent), • Familiarity with beam combining approaches (spectral, coherent, or incoherent) is a strong plus Where you probably come from: Fiber laser companies (IPG, nLIGHT, Lumentum, TRUMPF), directed energy programs (Lockheed, Northrop, Raytheon HEL), university laser labs that build high-power fiber systems (CREOL, Wyant, MIT Lincoln Lab), or photonics startups where you were hands-on with fiber laser builds. Not a fit if: Your experience is primarily using commercial lasers as tools (laser machining, laser scanning, lidar integration), semiconductor laser fabrication in a cleanroom, or free-space solid-state laser design without fiber experience. Nice-to-Haves: • Experience with directed energy weapon systems or defense laser programs, • Background in spectral or coherent beam combining for power scaling, • Familiarity with MIL-STD standards and ITAR compliance, • Experience with ruggedized optical system deployment in harsh environments, • Active security clearance or ability to obtain one, • Experience with laser safety protocols and high-power laser operations Education: BS, MS, or PhD in Optical Engineering, Photonics, Physics, Electrical Engineering, or related field. What you've built matters more than where you went to school. How You Operate: • Extreme bias for action. You'd rather build a prototype tomorrow than model it for a month, • Rigorous testing mindset. You characterize your own systems before the field does, • Comfortable with ambiguity and fast, constantly iterating in a startup environment, • Your brain only releases dopamine when you're building, • You debug from first principles, not Stack Overflow, • Clear communicator across mechanical, electrical, optical, and ML teams, • Self-directed. You identify what needs to happen next and do it without being told Why Join Aurelius Systems? • Build more in 1 month than most engineers build in 1 year. We field test weekly. Your work goes downrange, not into a filing cabinet., • Career velocity is real. Erick Brito went from Founding Robotics Engineer to Lead in 12 months. At ~10 engineers, there are no layers between you and impact… or between you and your next title., • Work on a problem that actually matters. Small, cheap drones are changing warfare. Our laser systems are the asymmetric answer. Think infinite magazine, cost-per-shot near zero, scalable to every base, border, facility, truck and infrastructure., • Join the densest defense startup ecosystem in the country. California is where the next generation of defense companies are being built. You'll be in the room with the people reshaping how America builds weapons. How we work: Core hours are Monday–Friday, 9 to 6. When we're sprinting toward a demo or field test, the team ramps up… nights, weekends, whatever it takes to ship. When the sprint lands, we ramp down. We don't manufacture intensity for show. We go hard when the mission demands it, and we recover when it doesn't. If you've worked at SpaceX, against a mission-critical timeline, or on a racing team, you already know the rhythm. Benefits: • Competitive salary + equity, • United Health Care medical, dental, and vision coverage, • Flexible 18 days PTO + 5 sick days, • Travel to field test events and range days, • Covered daily lunches and office snacks + drinks, • E-bike / scooter stipend ( Up to $500), • Direct access to leadership and real ownership over your work Export Control Notice: This role requires access to export-controlled information or items that require "U.S. Person" status. As defined by U.S. law, individuals who are any one of the following are considered to be a "U.S. Person": (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3). Don't Check Every Box? Even if you don't meet every qualification listed, we encourage you to apply. At Aurelius Systems, we value diverse perspectives and are always looking for talented engineers with unconventional backgrounds. If you've done hard, hands-on technical work and you're hungry to work on something that matters reach out to our Head of Talent,

Electrical Engineer - Data Centers - San Francisco Metric DCX are partnered with a global engineering and consultancy firm to support the continued growth of their data center division. This Electrical Engineer position will specialize in data center facility design to be embedded directly with a major end-user client. Responsibilities: • Assessing third-party and colocation facilities being considered for acquisition, evaluating their suitability against the client's portfolio requirements., • Taking ownership of power systems across all project phases, identifying and resolving issues as they arise in collaboration with the relevant client stakeholders., • Reviewing data center designs with a critical eye on redundancy architecture, availability targets, and potential single points of failure., • Working closely with operations, planning, and energy strategy teams to push electrical solutions forward on third-party data center projects., • Conducting technical due diligence and maintaining quality standards in line with client expectations., • Keeping internal documentation, specs, and standards current based on live project feedback and lessons learned., • Liaising with internal teams on power loading, rack deployment, and load balancing within shared facilities., • Contributing to cross-discipline coordination with mechanical and controls engineers, and supporting consistency across regional teams. Background Required • Degree-qualified in Electrical Engineering; a postgraduate qualification or PE license would be a strong advantage., • At least five years working within mission-critical environments, with solid hands-on exposure to colocation and multi-tenant data center projects specifically., • Confident in power systems analysis and the software tools that come with it., • Practical experience across the full electrical distribution stack — from high voltage transformers down to branch circuits — covering design, procurement, commissioning, and operations., • Comfortable working across disciplines and engaging with structural, mechanical, civil, and IT/Telecom teams as needed., • Grounded in US electrical codes and standards, with some awareness of IEC standards beneficial.

The Opportunity My client is a seed-stage health-tech startup in San Francisco that has raised $5M+ and is building the first health system for over 100 million Americans living with chronic conditions that modern medicine has no answers for. You would be the first engineering hire, working directly with a proven founder who has previously built and sold multiple companies. This is a rare chance to lay every technical foundation from day one. What you will do • Debating and deciding on the product roadmap, architecture, and technical foundations that every future engineer will inherit, • Building and shipping the initial product, turning manual processes and prototypes into a scalable platform for patients, • Hiring, leading, and mentoring the future engineering team, establishing the technical culture from the ground up, • Serving as a true thought partner to the founder, challenging assumptions and shaping the product vision together, • Making critical tradeoffs between speed of execution and long-term scalability to get the product into patients' hands quickly, • Translating real user insights and community-driven data into product decisions that improve patient outcomes What You Bring (Must-Haves) • 5+ years of full-stack or backend-leaning engineering experience, with comfort across the entire stack, • Experience building and shipping consumer-facing products where user experience directly drives retention, • Track record of hiring engineers and involvement in building out an engineering team, • Proficiency with modern frameworks (Python, JavaScript, or equivalent), with a preference for backend and architecture, • Deeply AI-native mindset, using tools like Cursor or Copilot daily as part of your workflow, not as an afterthought, • Pre-Series B startup experience where you operated with scarce information, shifting priorities, and high ownership Bonus Points • Personal connection to health, chronic illness, biohacking, or longevity, whether through your own journey or someone close to you, • Former founding experience, whether you started a company, joined as a first engineer, or built something from zero to one, • Experience at a high-growth consumer or health-tech company (e.g., Spotify, Reddit, Whoop, Oura, Spring Health, or similar), • Familiarity with healthcare data, community platforms, or recommendation systems Why Join • First hire, massive impact. You are shaping the technical foundation for a company serving a patient population with no existing solutions. For the right person, significant equity and co-founder-level ownership is on the table., • Proven founder, strong backing. The founder has built and sold companies before and raised $5M+ from top-tier investors in under two weeks. Years of runway, no desperation., • A product people are asking for. There is already a waitlist of thousands of patients. You are not building into a void; you are building for people who genuinely need this to exist., • Compensation: $180K–$275K base + significant equity, scaled based on experience and cash/equity preference. Logistics • Location: San Francisco, CA, • In-Office: 5 days per week. The team often works partially on Sundays during this early stage., • Reports to: Founder/CEO (direct partnership)

Software Engineer – High Performance Systems / ML Infrastructure Location: Mountain View, CA (Hybrid – 3 days onsite) A well-funded, high-growth deep tech company is building next-generation compute infrastructure to support large-scale machine learning workloads. This is a rare opportunity to work across the full stack — from hardware interaction through to system-level performance — in a team focused on solving some of the hardest problems in compute. What you’ll be doing • Build and maintain functional and performance models of custom hardware, • Develop tools to support debugging, validation, and performance analysis, • Work closely with architecture, compiler, runtime, and validation teams, • Contribute to system and architectural decisions, • Identify and implement performance improvements across the stack What they’re looking for • Strong software engineering fundamentals with a focus on performance and maintainability, • Solid understanding of computer architecture, • Experience working in low-level or systems environments, • Ability to work cross-functionally with hardware and software teams Nice to have: • Rust experience, • Experience with simulators or hardware modeling, • Exposure to ML infrastructure or accelerator architectures, • Familiarity with performance optimization and benchmarking Why this role stands out • You’ll be working on real, hard engineering problems at the intersection of hardware and software, • The team is small, highly technical, and moves quickly, • High level of ownership and impact on core system design, • Strong compensation with flexibility between cash and equity Compensation • Broad range depending on experience:, • $220k – $400k base + equity, • Flexible cash vs equity structure

Field Engineer Travel: 70% Location: Remote USA, CA or TX preferred The Opportunity: Picarro, Inc. has an opportunity for a Field Engineer to install, operate, and maintain air quality and continuous emissions monitoring systems (CEMS) and Workplace Monitoring Systems (WMS). This position will support Picarro's Environmental Solutions business and may require up to 70% travel, including international. This position requires good working knowledge of gas measurement instrumentation, electronics, circuitry, data communication protocols, interfacing with programmable logic controllers (PLCs), industrial process automation, and integration with analog and digital communications, as well as the ability to work with the mechanical functionality of gas analyzers. Other duties include, but are not limited to, procedure writing, parts inventory control, installation and operation of stack sampling systems, multi-point workplace air monitoring, fenceline, and ambient air monitoring systems. Experience with continuously monitoring air emission sources and industrial process gases is desired. You will work closely with our Project Management team but will be expected to be able to work alone on occasion once the training window has passed. An aptitude for troubleshooting equipment, systems, and data acquisition and handling software, as well as the ability to talk with clients and solve their technical problems, is desired. In addition to technical duties, there will be a requirement to assist with system assembly, performance testing, instrument calibration, repair, maintenance, and writing of environmental monitoring and quality assurance project plans. Responsibilities: • Conduct installations of monitoring systems, including all sample handling equipment and PLC programming, • Complete critical objectives, such as quarterly quality assurance testing and daily calibration testing of differential pressure flowmeters, ultrasonic flowmeters, and hazardous air pollutant CEMS,, • Communicate with Project Managers to define time and resource requirements for a project and coordinate these deadlines with clients and third-party firms., • Communicate with industrial site operations personnel to identify and fix issues., • Complete required customer safety training and comply with safety rules on customer sites., • Conduct calibrations and validation tests for installed systems as required by an established quality assurance plan or environmental regulation., • Maintain hardware and spare parts inventory., • Maintain a quarterly quality assurance schedule and document the completion of all items., • Log system downtime and emissions for trend analysis., • Train customers on installed systems' functionality, maintenance, and operation., • Develop system manuals, test procedures, and guidance documents as required., • Ability to work with our software team for programming DAS and PLC to meet their specific requirements, • Help develop and update SOPs for future project work Qualifications: • Approximately 2+ years of experience installing and maintaining complex emissions monitoring systems or an equal amount of time working in an industrial setting in an instrumentation or electrical field., • Experience, or the ability to familiarize oneself in environmental monitoring, safety systems, CEM, fenceline, stack testing, or similar complex industrial monitoring systems a major plus for this position., • Experience with PLC and Modbus communication protocols, • Ability to travel approximately 70% of the time to our headquarters in Santa Clara, CA., • The company reserves the right to require random drug testing for all applicable positions. Preferred Qualifications: • Bachelor's degree, Comparable Military Experience, or Technical Degree with job experience., • Instrumentation and Electrical Certification(s) The base salary range for this full-time position is $90-125k annually. Your base salary and title will be determined based on the location, experience, qualifications, skills, knowledge, level, and pay of employees in similar positions. • Medical, Dental, and Vision insurance, • Flexible Spending Account (FSA) and Health Savings Account (HSA) plans, • Life, Short-Term Disability, and Long-Term Disability Insurance, • Flexible Vacation Policy and Paid Holidays, • Employee Referral Program, • 401K, • Social events (summer picnic, holiday party, team lunches, etc.) We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Our solutions are used in various applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Our software and hardware are designed and manufactured in Santa Clara, California. They are used in over 90 countries worldwide based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology. They are unparalleled in their precision, ease of use, and reliability. At Picarro, we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, or disability. Posted positions are not open to third-party recruiters/agencies, and unsolicited resume submissions will be considered free referrals. At Picarro, we strive to ensure that all individuals, regardless of their abilities, have equal opportunities. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, please contact Picarro, Inc. at___for assistance.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team Join Cisco's innovative engineering community, whereyou'llhave the opportunity to collaborate with teams across Cisco IT, CPX (Customer & Partner Experience), Supply Chain, and Workplace Technology.You'llwork alongside hardworking engineers, designers, and product managers who bring ideas to life and transform how the world connects, communicates, and collaborates. Our teams value creativity, continuous learning, and a culture of inclusion as we build the next generation of industry-leading products and platforms! Your Impact As a Software Engineer at Cisco, you will design and build software solutions that power Cisco's products and platforms. You will work end-to-end on everything from APIs and backend services to user interfaces and distributed systems.You'llsolve real-world problems, ship impactful features, and help shape the future of connectivity and technology. Minimum Qualifications * Completion within the past 3 years, or current enrollment with expected completion within 12 months, of a certification or relevant degree program (e.g., Associate's, Apprenticeship, Boot Camp, or Certification in a specialized program + 1 year of relevant experience, High School Diploma + 2 years of relevant experience) or Bachelor's + 0 years of relevant experience. * Proficiencyin at least one backend language (Python, C++, or Java) and familiarity with JavaScript/TypeScript for frontend development * Experience with API development (REST,GraphQL, orgRPC) * Understanding of data structures, object-oriented programming, and SQL/NoSQL databases * Familiarity with cloud platforms (AWS, Azure, GCP, or Cisco Cloud) Preferred Qualifications * Experience with Docker or Kubernetes (containerization/orchestration) * Familiarity with Infrastructure as Code tools (Terraform, Ansible, or CloudFormation) * Exposure to CI/CD tools (GitHub Actions, Jenkins,CircleCI) * Experience with monitoring platforms (Grafana, Prometheus, Splunk) * Knowledge of UI frameworks (React, Angular, Vue) for full-stack pathways At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $104,700.00 - $153,000.00 Non-Metro New York state & Washington state: $92,100.00 - $136,000.00 • For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Responsibilities • Design and implement cross-platform client applications using Electron for desktop and native SDKs for iOS/Android., • Develop responsive and modern web interfaces integrating with backend APIs and media services., • Implement real-time communication features (audio/video/chat) based on WebRTC., • Collaborate with backend teams to ensure consistency in data models, APIs, and authentication flows., • Strong proficiency in JavaScript/TypeScript, with experience in React, Node.js, or equivalent frameworks., • Hands-on experience with Electron and mobile SDK integration (Android/iOS)., • Understanding of WebRTC, signaling, and real-time media streaming., • Familiarity with RESTful APIs, WebSocket, and secure communication protocols., • Experience or interest in backend development (Python, Go) is a strong plus. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion.

Aeonsemi is a pre-IPO chip design company at the forefront of high-speed data communication for Physical AI. Backed by tier-one venture firms and in rapid revenue growth, we design customer-proven synchronous Ethernet networking and timing solutions that address the critical needs of secure data connectivity, robust timing synchronization, and efficient energy delivery — from AI edge nodes, autonomous systems to hyperscale data centers. Analog/mixed-signal Design Engineer Responsibilities You will be working with a team of designers to design high performance RF/Analog/mixed-signal circuits for high-speed wireline transceiver products using advanced CMOS technologies. · Block level architecture design · Schematic design, simulation, behavioral modeling, validation plan · Supervise layout engineer and hands-on layout of critical paths when needed · Lab characterization Qualifications · MS or Ph.D in electrical engineering with minimum 2 years of experience · Knowledge of analog fundamentals: biasing circuits, clock generation and/or data converters · Proficient in Cadence design environment · Good communication skills Additional Helpful Qualifications · Proficient in Python or other programming language . Basic proficiency with signal processing . Interest in developing full-stack skills spanning mixed-signal design, simulation and modeling, and production test flows (software/firmware debug) We offer · Great team work environment with excellent career growth opportunities · Competitive salary, attractive stock option · Competitive benefit package with health care, dental, 401k etc.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. ___, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role As a Full Stack Engineer focusing on Cerebras’ manufacturing test platform, you will design, build, and maintain a comprehensive test software solution for all stages of manufacturing – from individual components to complete Cerebras systems. You will collaborate cross-functionally with hardware design, engineering, operations, and data analytics teams to develop user interfaces and data processing frameworks that directly impact manufacturing efficiency, quality, and scalability. Responsibilities • Collaborate with hardware engineers and test developers to create frameworks that facilitate the development, validation, and deployment of manufacturing tests., • Create an intuitive, functional, and flexible user interface for executing a wide variety of manufacturing tests., • Create a distributed data storage framework to sync test data across multiple manufacturing facilities., • Collaborate with data engineers and data scientists to create interactive reports for visualizing test results., • Support cross-functional initiatives across manufacturing, operations, and reliability teams to improve manufacturing efficiency, quality, and scalability throughout the entire product lifecycle. Skills and Qualifications Required • Bachelor’s degree in computer science, computer engineering, or related field., • 3+ years of professional experience in full-stack software development., • Strong proficiency in at least one advanced programming language (e.g. Python, C++)., • Experience with SQL databases (e.g. PostgreSQL, MySQL) and/or NoSQL databases (e.g. MongoDB, Redis)., • Experience with hardware manufacturing and/or related disciplines such as manufacturing test automation, manufacturing software, or manufacturing quality control., • Experience with application development in Windows and/or Linux., • Experience with cloud platforms (e.g. AWS, GCP)., • Experience with data engineering, data analytics, and/or business intelligence., • Experience with UI/UX., • Experience with networking and cybersecurity. The base salary range for this position is $175,000 to $220,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: • Build a breakthrough AI platform beyond the constraints of the GPU., • Publish and open source their cutting-edge AI research., • Work on one of the fastest AI supercomputers in the world., • Enjoy job stability with startup vitality. This website or its third-party tools process personal data. For more details, click ___ to review our CCPA disclosure notice.

Senior Staff Full Stack Engineer – Platform Location: San Francisco (Hybrid) Employment Type: Full-time, Permanent About the Company Our client is a well-funded, high-growth technology company building AI-powered software used by large enterprise customers in complex, regulated environments. The organisation is focused on improving operational efficiency and decision-making through intelligent automation and advanced data systems. Backed by leading investors, the company is scaling rapidly and investing heavily in its engineering platform to support continued product expansion and customer growth. Role Overview We are seeking an experienced Senior/Staff Full Stack Engineer to join a growing platform engineering team. This role will focus on building and scaling the core systems, internal tooling, and shared services that underpin the company’s product suite. You will play a key role in architectural decisions, system design, and engineering best practices while working across backend and frontend technologies in a distributed, high-performing team. Key Responsibilities • Design, build, and maintain scalable full stack applications and shared platform services, • Develop robust APIs and backend systems using modern frameworks, • Contribute to frontend development using contemporary web technologies, • Partner with product, design, and cross-functional stakeholders to deliver high-impact features, • Improve system performance, reliability, and scalability, • Uphold strong engineering standards across testing, security, and maintainability, • Contribute to architectural discussions and mentor other engineers where appropriate Requirements • 8+ years of experience in full stack software engineering, • Strong proficiency in JavaScript/TypeScript and Python (or comparable modern languages), • Experience designing and building RESTful APIs and distributed systems, • Familiarity with relational and NoSQL databases, • Experience with automated testing (unit and integration), • Strong understanding of modern software development practices and version control (Git) Nice to Have: • Experience working in regulated or enterprise environments, • Exposure to cloud-native architectures and scalable infrastructure, • Background in performance optimisation or systems reliability This is an opportunity to join a mission-driven organisation at an exciting stage of growth, with meaningful ownership and technical influence from day one. For more information or to apply, please contact Sam Shinner at Discover International.

Role:Staff Software Engineer Location:Santa Clara, CA Job Term: Full-time; In-office 5 days a week The Opportunity: Picarro is building the next generation of integrated solutions that incorporate various analytical instrumentation, such as our state-of-the-art laser-based gas sensors.These systems are adapted for numerous industries to deliver trusted, actionable data, allowing end-users to make critical operational decisions based on unambiguous information. We seek aStaff Software Engineerto serve as a technical pillar within the organization.This individual will not only conceptualize and design software solutions but will also define the architectural standards and long-term technical strategy for our complex systems.The Staff Engineer is responsible for ensuring the scalability, reliability, and maintainability of our commercial-grade applications while mentoring the best and brightest in the industry. Responsibilities: • Architectural Leadership:Lead the high-level design and architectural vision for clean, efficient, and maintainable code across complex analytical instrumentation platforms, • Strategic Execution:Oversee the software development lifecycle by identifying and prioritizing critical-path tasks that align with broader business objectives, • System Design:Drive the creation of robust internal and external software interfaces for gRPC microservice applications, ensuring seamless integration across the stack, • Infrastructure & CI/CD:Architect and optimize CI/CD pipelines to enable world-class automated testing and continuous deployment of mission-critical applications, • Technical Mentorship:Act as a subject matter expert for other developers, fostering a culture of technical excellence through code reviews and the development of advanced test cases for Linux-based environments, • Advanced Troubleshooting:Lead root cause analysis for the most complex system defects and production issues, providing definitive resolutions and preventative strategies, • Education:A bachelor's degree in computer science, software engineering, or a related major is required, • Experience:10+ years of hands-on coding experience, with a minimum of 5 years working primarily in Python, • Distributed Systems:Expert-level experience with distributed messaging platforms such asgRPC, ZeroMQ, MQTT, OMG DDS, Kafka, or REST API, • Concurrency:Proven record of architecting multi-threaded and/or coroutine-based applications at scale, • Linux Mastery:Deep expertise in UNIX/Linux systems, including system-level programming, service integration, and package management (Debian/Ubuntu preferred)., • Problem Solving:Exceptional analytical skills with the ability to debug complex issues and propose definitive, effective solutions, • Solid background with C++ (C++17 preferred) or another statically typed, compiled language such as: C#, Java, or Go, • Concurrency:Mastery of multiprocessing, multithreading, and asynchronous programming., • Backend Frameworks:Extensive experience usingPython Flask/FastAPI/aiohttp, SQLAlchemy, and Celery, • Database Systems:Experience usingMongoDB and PostgreSQL We offer a comprehensive benefit package including: • Medical, Dental, and Vision insurance, • Flexible Spending Account (FSA) and Health Savings Account (HSA) plans, • Life, Short-Term Disability, and Long-Term Disability Insurance, • Paid Time Off and Paid Holidays, • Employee Referral Program, • 401K, • Social events (summer picnic, holiday party, team lunches, etc.) We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Our solutions are used in a wide variety of applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Our software and hardware are designed and manufactured in Santa Clara, California and are used in over 90 countries worldwide based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology and are unparalleled in their precision, ease of use, and reliability. At Picarro, we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, or disability. Posted positions are not open to third-party recruiters/agencies, and unsolicited resume submissions will be considered free referrals. At Picarro, we strive to ensure that all individuals, regardless of their abilities, have equal opportunities. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, please contact Picarro, Inc. at___for assistance.

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Supermicro is seeking an experienced Software Engineer to join our exceptional team. In this critical role, you will drive the management software effort for Supermicro solutions. You will take ownership of the full-stack software development lifecycle. You will collaborate with product managers, designers, cross-functional teams, and external partners to deliver high-quality software solutions that fuel the growth of our solution business. Includes the following essential duties and responsibilities (other duties may also be assigned): • Design & Development: Design and develop robust Azure Local solution extension software for Azure hybrid cloud platform. This includes architecting the software from the ground up, writing clean and scalable code, and ensuring it meets the high standards of performance and efficiency that Supermicro is known for., • Integration: Work closely with Microsoft and cross-functional teams at Supermicro, including solution PMs, system PM/engineers, firmware, and driver engineers to integrate the Supermicro software in Azure hybrid cloud environment., • Maintenance & Support: Provide ongoing maintenance, support, bug fixes, and new feature implementation for the software., • 5+ years of experience in software development, • B.S or M.S Degree in Computer Science, Electrical Engineering, Mathematics, or a related field., • Proven experience working with Microsoft Azure services, including Azure Resource Manager, Azure CLI, and Azure PowerShell., • Familiar with on-premise or hybrid cloud solutions, preferably Azure Stack or Azure Local., • Experience with RESTful APIs and web services., • Proficient in below technologies:, • Front-end: HTML, CSS, JavaScript, and frameworks like React and Angular., • Back-end: Python, Node.js, Java, C#, or PHP, • Database: MySQL, MariaDB, MongoDB, or other relational and NoSQL databases, • Scripting Language: PowerShell, Azure CLI, • Familiar with Infrastructure as Code (IaC) principles and tools, such as ARM templates or Terraform., • Proficiency with version control systems, particularly GitLab. $133,000 - $151,000 The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs. Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

We are seeking a highly skilled DevOps Engineer to join our team. In this role, you will design, implement, and maintain scalable, resilient, and secure infrastructure. You will work closely with Development, product, and QA teams to enhance development workflows, optimize CI/CD pipelines, and ensure system reliability. This is a critical position for driving operational excellence and fostering a culture of collaboration between development and operations. Key Responsibilities • Infrastructure Design & Management: Architect, implement, and manage scalable cloud infrastructure using platforms like AWS, Azure, or Google Cloud., • CI/CD Pipeline Development: Build and optimize CI/CD pipelines to streamline code deployment, testing, and delivery processes., • Monitoring & Incident Response: Set up and maintain system monitoring, logging, and alerting tools (e.g., Prometheus, Grafana) to ensure high availability and quick response to incidents., • Automation: Develop automation scripts and tools using languages such as Python, Bash to reduce manual interventions and improve system efficiency., • Collaboration: Work with development, QA, and IT teams to integrate DevOps best practices into every stage of the software lifecycle., • Security: Implement and enforce best practices for infrastructure security, including vulnerability assessments, patch management, and IAM policies., • Cost Optimization: Continuously monitor and optimize cloud resource usage to ensure cost efficiency without compromising performance. Must-Have Qualifications: • Experience: Minimum of 2-5 years of experience in DevOps, Site Reliability Engineering, or a related role., • Cloud Expertise: Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud, including provisioning and managing resources., • CI/CD Tools: Proficiency with tools such as Jenkins, GitLab CI, CircleCI, or equivalent., • Infrastructure as Code (IaC): Experience with Terraform, CloudFormation, or similar tools., • Containerization & Orchestration: Strong knowledge of Docker and Kubernetes (deployment, scaling, monitoring)., • Scripting & Automation: Proficiency in scripting languages like Python, Bash, or Go., • Monitoring Tools: Experience with monitoring and logging tools such as Prometheus, ELK Stack., • Version Control: Advanced knowledge of Git and branching strategies., • Experience with serverless computing (e.g., AWS Lambda)., • Knowledge of database administration (SQL and NoSQL)., • Familiarity with compliance frameworks (e.g., SOC2, ISO 27001). Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Proactive and self-motivated with a growth mindset. The US base salary range for this full-time position is $110,000-$150,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Supermicro's AI Platform team is seeking a 100x AI Systems Engineer who ships entire systems, not just code. Our existing AI platform - 38,000+ documents, Agentic RAG, hybrid search, custom embedding and reranking services, multi-database integration - was built by one engineer in under one month. Another team estimated the same scope at 100 person-months. We are looking for another engineer with that same capacity. This individual uses AI coding tools (Cursor, Claude Code, etc.) as daily drivers, owns the full stack from data pipeline to production deployment, and delivers working solutions - not PRs that need "a few more iterations." Given a problem, this individual ships. Given ambiguity, this individual asks the right questions, prototypes fast, and iterates. New domain? Ramp up fast. No existing solution? Build one. Blocked? Find a workaround or do it yourself. The following responsibilities are integral to the Sr. AI Systems Engineer role (other duties may also be assigned): • Design and ship AI-powered systems end-to-end: RAG pipelines, agentic workflows, intelligent chatbots for customer support, AI-powered product recommendation engines, automated RFQ assistants, and sales enablement tools - the full roadmap, one system at a time., • Build and maintain hybrid search infrastructure combining vector databases (Qdrant, Chroma, Milvus) with keyword search (Elasticsearch/BM25), custom embedding services, and reranking pipelines., • Deploy and optimize LLM inference services using vLLM, SGLang, or equivalent frameworks on GPU clusters (H100, H200, GH200); expand and maintain GPU inference infrastructure as the platform grows., • Build document processing pipelines for large-scale ingestion of unstructured data - PDFs, Office documents, web content - covering extraction, chunking, contextual retrieval, and metadata enrichment., • Integrate AI systems with enterprise data sources including PostgreSQL, MSSQL, SharePoint, and SAP; expose capabilities through RESTful APIs (FastAPI)., • Leverage AI-assisted development tools (Cursor, Claude Code, etc.) as core productivity multipliers - architect the 20% and let AI write the 80%, shipping in weeks what would otherwise take a team months., • Identify the next high-impact problem across sales, engineering, customer support, and operations; prototype fast, ship to production, and move on to the next one., • Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with 8+ years of software engineering experience; what you have shipped matters far more than years counted;Master's degree is a plus., • Demonstrated AI-assisted development proficiency - show us projects where you used Cursor, Claude Code, or similar AI tools to 10x your output; this is a hard requirement, not a nice-to-have., • Hands-on experience building RAG systems: vector databases, embedding models, reranking pipelines, and hybrid search architectures., • Strong Python proficiency for backend development, LLM orchestration, and automation; experience with FastAPI or similar frameworks., • Experience with LLM deployment and inference optimization (vLLM, SGLang, or equivalent); comfortable with Linux, Docker, and GPU infrastructure basics (CUDA)., • Self-directed and comfortable with ambiguity: "make our sales team more productive with AI" is enough to get started., • Experience with web scraping and data ingestion pipelines (Playwright, Selenium, Crawl4AI, etc.) is a plus., • Familiarity with agent frameworks (LangChain, LangGraph) and document processing tools (PDF extraction, OCR) is a plus., • Experience with enterprise data sources (SharePoint, MSSQL, SAP) and database design (PostgreSQL, MySQL, MongoDB) is a plus. The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs. Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

Business Area: Engineering Seniority Level: Associate Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. At Cloudera, our Data Services Pillar is the heart of data innovation. We don't just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI. You will be a key member of the NFQE (Non Functional QE) team that drives the performance reliability of Cloudera's Kuberneteshosted data services. The role blends deep technical knowledge of performance testing, distributed data workloads, and container orchestration with a datadriven mindset. You'll design, automate, run, and analyze performance tests for Cloudera's flagship services, ensuring they meet or exceed customerdefined SLOs/SLAs at scales. As a Performance Engineer, you will: * Work with internal development teams and the open source community to proactively drive performance improvements/optimizations across our data warehouse and Data Engineering stack. * Work with product managers, developers and the field team to understand performance and scale requirements, and develop benchmarks based on these requirements. * Develop automation to execute benchmarks, collect and aggregate metrics and profiles, and report results, trends, and regressions. * Analyze performance and scalability characteristics to identify bottlenecks in large-scale distributed systems. * Perform root cause analysis of performance issues identified by internal testing and from customers and suggest corrective actions. * Evaluate performance of systems and provide related guidance to the team. We are excited about you if you have: * 3 + years of industry experience in performance-related work, ideally on large-scale distributed systems * Understanding of DBMS algorithms and data structure fundamentals. * Understanding of hardware trends and full-stack systems performance: CPU, RAM, storage, network, Linux kernel, JVM, and distributed systems performance. * Understanding of performance analysis tools and techniques. * Strong design, coding skills, and test automation skills (Java/C++/Golang/Python preferred) * Knowledge of relevant frameworks, cloud provider knowledge, K8s, etc. * Ability to work in a distributed setting with team members spread in multiple geographies * Demonstrated ability to work on large cross-functional projects, including strong written communication skills and a collaborative mindset, as you will be working with many teams inside and outside of Cloudera. * Experience with benchmark and performance test design. You eshould understand basic concepts of performance testing including different types of performance tests (microbenchmarks, end-to-end benchmarks, concurrency and scale testing), how to reduce (or deal with) noise in test results, etc. * Experience designing performance tests that provide useful insights into specific aspects of performance. * Solid understanding of basic performance theory - in particular a very good understanding of latency, throughput, and concurrency and how they relate to each other. * Strong understanding of the types of workloads they'll be testing Ideally they should have specific experience creating performance tests for the specific product area they'll be working on (SQL, ML, etc). * B.S. or M.S. in Computer Science or equivalent experience. You might also have: * Experience with the Hadoop ecosystem (i.e. Hive, Impala, Spark), in specific Prior work on largescale data lakehouse or datawarehouse performance * Hands-on experience with containerization, Kubernetes, public cloud infrastructure (AWS, Azure and/or GCP) and mesh-networks * Certifications: CKA/CKAD, AWS Solutions Architect, GCP Cloud Architect, Azure Solutions Architect, or equivalent. * Security & Compliance: Experience writing performance tests that also verify dataprivacy and audit compliance (e.g., GDPR, HIPAA). Why this role matters: This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You'll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data. We believe in the power of open source. You'll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You'll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet. This position is not eligible for sponsorship. The expected base salary range for this role in: * California is $124,000 - $155,000 The salary will vary depending on your job-related skills, experience and location. What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-SZ1 #LI-HYBRID

The application window is expected to close on: 04/27/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. The application window is expected to close on: 04/27/2026. Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. This role is onsite based in Cisco's San Jose office. Meet the Team We represent one of the technical arms of Data Center Network Product, Component and Quality Operations. Our team works collaboratively with cross-functional groups across Cisco, including Product Management, Hardware Engineering, Global Manufacturing Operations, Compliance and Service. We also need to work closely with CM / EMS and suppliers. We are responsible for products cost, delivery and quality throughout their entire life cycle from NPI (New Product Introduction) to EOS (End of Sales). Your Impact We are looking for a motivated and experienced individual to provide mechanical product engineering support for new and sustaining products. This individual will be responsible for products' cost, quality and time to market from NPI to EOL. Mechanical Engineer provides new product and on-going engineering (including DFM/DFA) for a specific product or group of products from pre-concept commit through end of life. For new products, this individual will collaborates with Design Engineering (mechanical and hardware), process, test and reliability engineering to solve problems and ensure cost avoidance and quality at FCS. For sustaining products, this individual will focus on cost reduction and design related yield improvements. • May lead small scale mechanical engineering projects (one to two features) with manageable risks and resource requirements and may tackle project management responsibilities., • Collaborates with multiple partners to support assembly, fabrication and manufacturing of products by using an understanding of manufacturing process for plastic, diecast, sheet metal, interconnect and power delivery and conducts failure mode and effects analysis (FMEA)., • Performs stack up tolerance analyses to ensure designs meet six sigma quality for high volume mass production., • Assists senior engineers with test plans, mechanical design testing, failure analysis, reliability, environmental testing and verification plans for developed design elements, materials, parts and products., • Value engineering - Engage early with Component Engineering, GSM and Hardware engineering and influence on component selection, process efficiency, and design changes., • Verifies the quality of the design, resolves issues and calls out as needed., • Reviews and compiles the BoM for large teams or across multiple products., • Contributes to design improvements and assembly cost savings and avoidance by helping identify the right materials., • Monitors scope, schedule and budgets for projects . Collaborates with multiple stakeholders to conduct design feasibility testing and prototyping, including working with marketing teams directly to ensure feature and requests from customers are achievable, • Ensures that feasibility and prototyping guidelines are met., • Optimizes thermal solutions with thermal engineers prior to prototype., • Assessing CM and supply chain technical capability and capacity gaps., • Creating, analyzing and release product documentations., • Technical lifecycle management including defect reduction, new component qualification, etc. Minimum qualifications • 5+ years of experience in mechanical manufacturing., • Experience at L6 Liquid cooling., • BS degree in mechanical egg., • Possess experience in using Pro-E/Creo. Preferred qualifications • Master's degree in relevant field., • Experience in liquid cooling cold plate manufacturing process. At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. The starting salary range posted for this position is $135,800.00 to $193,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $135,800.00 - $222,400.00 Non-Metro New York state & Washington state: $122,000.00 - $197,900.00 • For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

The application window is expected to close on: 2/2/2026. The job posting may be removed if the position is filled or if a sufficient number of applications are received. This is an onsite role based in the San Jose, CA office. While the team may have hybrid days, this is at the discretion of the team and is subject to change at any time. Our outstanding team works in a startup atmosphere within a stable and leading corporate environment, and our design center hosts all Silicon Hardware and Software development fields under one roof. Our devices are crafted for universal adaptability, delivering high speed without sacrificing programmability, buffering, power efficiency, scale, or feature flexibility. We enable the use of these innovative products in the fast-paced world of Open Standards, Open Networking, and massively Scalable Cloud Data Centers. If you want to work with amazing people and innovative customers developing the next generation of world-class products, join us! Our team develops the full software stack enabling the Silicon One network processors. We work with the Open Standards community and our incredible customers to deliver best in class routing and switching platforms. Work also with architecture and design teams to define the next generation of ASIC products being developed. As part of Silicon One Customer Engineering team, you will closely interact with Cisco's Silicon One customers to help with Silicon One product adoption, software development, documentation, technical support, trouble shooting, and maintenance. You will gather information from customers on their requirements, pain points and help them implement in software to improve software quality and customer experience. You will gain intimate knowledge of the Silicon One hardware architecture and software programming models, working closely with the architecture, hardware and software teams. You will develop innovative applications, customizations of Silicon One software to better suit the customer's needs. You will work with Silicon One Software teams to design and development of software features for both the control plane and data plane on Cisco's Silicon One NPU. You'll play a critical role in creating software that powers highly scalable, low-power, low-latency, and dense systems, addressing the ever-growing demands of AI/ML workloads, internet users, and modern applications. You will use modern C++, the Silicon One network processing language, and Python to develop software for the NPU. As the lead engineer, you'll participate in customer discussions to define requirements, scope features, and drive the development process from start to finish. You'll take full ownership of delivering high-quality software on schedule, while leading a team of engineers and providing guidance on design, implementation, and reviews. Additionally, you'll gain deep expertise in the Silicon One hardware architecture and programming models, collaborating with architecture and hardware teams to shape the next generation of ASIC products. You are an accomplished technical leader with extensive experience in software development for the networking domain. Your mastery spans multiple areas in networking, where you've served as the lead designer for complex systems. Your expertise in control and routing planes, as well as your ability to build large-scale, high-density, and highly redundant systems, is widely recognized. You are deeply committed to developing clean, user-friendly APIs and well-defined software layers. As a mentor to your team, you bring optimism and a positive outlook to your work. Driven by self-motivation, you exhibit a strong sense of ownership and a passion for delivering exceptional results. • Bachelor of Science EE/CS combined with 8+ years of related experience or Master of Science EE/CS combined with 6+ years of related experience., • Prior expertise in software development and integration while using one or more of the following programming languages: C++, Python., • Prior expertise with networking protocols and technologies (e.g., L2/L3, MPLS, BGP, OSPF)., • Prior expertise in analytical reasoning and debugging, with experience using tools such as GDB, PDB, etc., • Prior working experience with algorithms and data structures., • Experience with cloud, data center, or edge networking products., • Experience with SAI, SONiC, or other Network OS.Proficiency in Layer 1 Port Technologies., • Experience with traffic generators (i.e. - IXIA or Spirent)., • Experience with writing, testing and supporting software for high performing and scalable networking products. At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. The starting salary range posted for this position is $183,800.00 to $263,600.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $183,800.00 - $303,100.00 Non-Metro New York state & Washington state: $163,600.00 - $269,800.00 • For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

*Software Quality Engineer (Python) * Cupertino, CA $45-$50/hr (based on experience) Monday-Friday (On-Site), Standard Business Hours 6 months (with opportunity for extension based on performance and demand) You'll earn $45-$50/hour based on your experience level, on a consistent Monday through Friday schedule during standard business hours. This is a 6-month engagement with opportunity for extension based on your performance and ongoing project demand. You'll work at the intersection of Python development and quality engineering, building and refining automation frameworks for AI-powered products and cloud-based services used by hundreds of millions of people worldwide. You'll be on-site in a secure lab environment at one of the most iconic tech campuses in Silicon Valley, working hands-on with unreleased hardware and software alongside cross-disciplinary engineering teams. You'll develop and enhance automation frameworks supporting cutting-edge AI and cloud-based services. You'll author and maintain test scenarios using structured data formats like JSON, YAML, XML, and Python data structures, and debug within tools and schemas to identify and resolve issues in test coverage. You'll build test automation solutions that drive continuous improvement across multiple deployments, work with distributed systems integration, and develop solutions for data integrity, scalability, and high availability. You'll collaborate across teams, contribute to brainstorming and technical discussions, and write specifications that justify your design decisions. You'll be on-site at a world-renowned Silicon Valley campus, working alongside strong engineering talent on products with global reach. The environment is collaborative and hands-on, with real ownership over your work and direct visibility into how your contributions impact product quality. You'll be a strong fit with 3 or more years of professional experience as a Quality Engineer or SDET - candidates with 5+ years of experience will be considered at the higher end of the pay range. Python proficiency is essential - you should be comfortable writing scripts and working confidently within structured data formats and tooling, with more experienced candidates expected to develop and enhance frameworks independently. You bring a quality-over-volume mindset and genuine ownership over your work. Experience writing test scripts in an enterprise technology environment, familiarity with CI/CD pipelines (Jenkins preferred), Agile development experience, and comfort with distributed version control systems like Git will round out your profile. A BS or MS in Computer Science or equivalent professional experience is preferred. Above all, you're self-motivated, technically sharp, and energized by the chance to work on products that reach a global audience. This is a Contract position based out of Cupertino, CA. The pay range for this position is $45.00 - $50.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Title- Full Stack AI Engineer Duration - 12 Months Location - Sunnyvale CA 94085 (Hybrid - come onsite as needed) We are seeking a highly skilled Founding AI Engineer to partner with internal and cross-functional teams in defining AI product features, scope, and the platform's technical foundation. * Serve as a Founding AI Engineer, collaborating with cross-functional teams to define AI product features, scope, and overall technical architecture. * Design and implement generative AI systems, including: Multi-agent workflows * LLM orchestration patterns * Tool-calling architectures * MCP integrations to connect models with enterprise APIs, tools, and data systems * Build scalable AI data pipelines to ingest heterogeneous data sources and implement AI-driven ETL processes, including: * Data cleaning * Normalization * Deduplication * Structured storage in production databases and vector indexes * Develop and optimize GenAI systems, including: * Fine-tuning LLMs and transformer models (e.g., LoRA/PEFT) * Prompt engineering * Designing RAG architectures for knowledge retrieval * Train, test, and deploy machine learning models, building: * Low-latency inference pipelines * Scalable AI services for real-time and batch workloads * Develop backend services and AI product interfaces, including: * APIs * Microservices * AI-powered dashboards * Ensure production reliability through: * Monitoring * Autoscaling * Performance optimization * Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field * 5+ years of experience building production AI or machine learning systems * Hands-on experience developing GenAI / LLM-powered applications using models such as GPT, Claude, or Gemini * Experience designing and deploying: * Agentic AI systems * MCP integrations * LLM orchestration workflows * Experience building: * RAG systems * Vector search solutions * AI knowledge discovery platforms * Experience with ML frameworks such as: * PyTorch * TensorFlow * scikit-learn * Experience designing scalable data pipelines and AI-driven ETL workflows * Experience building AI-powered dashboards or knowledge discovery interfaces * Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field * Experience fine-tuning transformer models using techniques such as LoRA or PEFT * Hands-on experience with: * Cloud platforms (e.g., AWS) * Containerization technologies (e.g., Docker)

ABOUT THE ROLE We're a cybersecurity company building a next-generation generative AI platform used across multiple product surfaces - from analyst workflows to internal operations tools. We're looking for a Senior Frontend Engineer with a strong frontend focus to design, build, and scale intuitive, high-performance experiences for data-heavy, real-time use cases. You'll work across the stack (with emphasis on the web frontend) to turn advanced AI capabilities - reasoning, retrieval, and automation - into trustworthy, efficient user experiences. You'll collaborate closely with design, product, and AI/ML teams to ship features that improve investigation speed, streamline operations, and elevate customer outcomes. KEY RESPONSIBILITIES 2.1 Development • Own end-to-end delivery of user-facing features across investigative, assistive, and summarization surfaces - from proof-of-concept to launch and iteration., • Design interactive dashboards, timelines, and graph/entity views that handle high-volume, streaming data with intuitive drill-downs and filtering., • Build resilient real-time UX (e.g., WebSocket/SSE) and a scalable state architecture for conversations, incidents, and tickets, with reliable cross-view synchronization., • Define clear API/data contracts, contribute to backend endpoints as needed, and integrate enterprise systems (ticketing, knowledge bases, telemetry/observability, workflow tools)., • Implement trustworthy AI UX: streaming responses with citations, guardrails/redaction, and human-in-the-loop review; capture feedback to improve prompts and behaviors., • Work closely with backend, AI, product and design teams to translate complex requirements into elegant UIs, • Mentor engineers, lead design reviews, and evolve coding standards and best practices, • Communicate tradeoffs and architecture decisions clearly to technical and non-technical stakeholders REQUIRED QUALIFICATIONS 3.1 Experience • 5+ years of professional frontend development experience (full-stack a plus), • Track record of shipping complex, data-intensive web applications at scale, • Experience operating in high-availability, security-sensitive or support-critical environments Core Skills (Must Have) • Expert proficiency with modern JavaScript/TypeScript and a component-based web framework (e.g., React), • Experience with server-rendered web apps and routing, • Strong grasp of state management patterns (e.g., state containers, signals, or equivalent), • Proficiency with async data fetching and caching for server state (e.g., query/fetch layers), • Advanced CSS skills (responsive layouts, design systems, accessibility), • Experience with real-time transports (e.g., WebSocket, Server-Sent Events) and streaming UX, • Git-based workflows and CI/CD; feature flagging and progressive delivery, • Comfort with charting/graph visualization libraries and building interactive, drill-down dashboards, • Understanding of UX for dense, high-stakes, data-heavy applications, • Excellent written and verbal communication, • Strong problem-solving skills and attention to detail, • Self-directed, collaborative, and comfortable with ambiguity in fast-moving contexts, • Experience designing APIs (REST/Websocket) and integrating with event streams, • Comfort with at least one server runtime/language (e.g. Python, Golang) and data storage paradigm (e.g Postgres, Neo4j), • Understanding of authentication/authorization patterns and session management PREFERRED QUALIFICATIONS (BONUS POINTS) AI/ML Product Experience • Built user experiences for generative AI features (assistive workflows, agent-style tool use, or similar), • Understanding of LLM streaming patterns, tool orchestration, and structured outputs (citations, functions), • Familiarity with retrieval-augmented generation, prompt strategies, evaluation, and guardrail techniques, • Real-time collaboration (presence, concurrency control, CRDTs/OT), • Graph and time-series data modeling/visualization, • Event-driven systems, message queues, background job orchestration, • Markdown/rich-text rendering and extensible editor frameworks, • Familiarity with security operations workflows and investigation lifecycles, • Understanding of incident management, alert triage, and escalation processes, • Awareness of observability and root-cause analysis in distributed systems WHAT WE OFFER • A chance to shape the future of AI-assisted cybersecurity and operations at scale, • Ownership of significant product surfaces used daily by enterprise customers and internal teams, • A collaborative environment with experienced engineers, researchers, and designers, • Continuous learning in AI/ML, security, and modern web technologies The US base salary range for this full-time position is $160,000-$200,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time, as well as a comprehensive leave program. Wage ranges are based on various factors, including the labour market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program. Bonus eligibility is reviewed at the time of hire and annually at the Company's discretion. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Ready to Technically Lead the automation engine behind next-generation AI infrastructure? We're hiring aStaff Engineer to lead the design and delivery of SuperCloud Automation Center (SCAC) - the platform powering enterprise-grade automation from firmware to full-scale AI workloads across data center and edge environments. This is a high-impact, highly visible role where you'll shape secure, scalable cloud architectures, guide customers from concept to production, and define the patterns that enable AI infrastructure at global scale. If you want to build the backbone of modern automation - not just deploy it - this is where you make your mark. Includes the following essential duties and responsibilities (other duties may also be assigned): • Leading architecture, design for cloud-based orchestration and provisioning solutions, • Evaluating new technologies and rapidly developing proof-of-concepts that can be taken to production ready products, • Own end-to-end solution delivery for SCAC discovery, architecture, implementation, and production readiness, • Create and socialize architectural artifacts in the form of HLD/LLD, integration diagrams, data flows, and ADR's, • Design integration patterns across Supermicro Software Stack, DCBBS, Kubernetes cluster, Data center level monitoring and reporting platform, OpenShift, VMware, storage, network, and CI/CD, • Identify and close design gaps and risks while proposing mitigation options with clear trade-offs and TCO impact, • Establish and enforce standards in the form of reference architectures, golden paths, and IaC modules, • Champion security-by-design with zero-trust principles, secrets management, vulnerability scanning, and compliance guardrails, • Define orchestration workflows for cluster bring-up, upgrades, patching, and teardown, • Specify installer strategy and UX, including preflight checks, image registry, mirror configuration, repository layout, admin node, IP addressing, and hypervisor flags., • Formalize integration contracts, API contracts, API's with SCAC, telemetry, logging, and external registries, • Lead performance, scalability, modeling, and validation to include, but not limited to, concurrency limits, queue backoff, and artifact caching, • Guide delivery execution from design to GA, acceptance criteria, risk registers, exit gates, and sign-offs for security, scale, and operability, • Validate the end-to-end solutions in reference labs and customer environments, ensuring upgrade and rollback readiness, and versioning and packing strategy, • BS in Computer Science, Computer/Software Engineering, Electrical Engineering, or related field, • 10+ years in technical lead role, solutions, systems, and software owning HLD and LLD with cross-team design inputs, • Strong Python coding, analysis, debugging and problem solving, • Hands on Linux development, Docker, Containers, plus experience with OpenShift or vanilla K8s with understanding controllers, operators, and multi-clusters, • Experience in Git based development, SQL or NoSQL databases ( e.g. PostgreSQL), Restful API design., • Security fundamentals, zero-trust principles, image signing, and SBOM basics in vulnerability management, • Experience in architecting end-to-end solutions, systems management framework for private cloud-based offerings, • Excellent communication, documentation skills Salary Range: $190,000 - $220,000 The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs.

In our 'always on' world, we believe it's essential to have a genuine connection with the work you do. Access Networks Solutions(ANS) is now Aurora Networks, a bold name that reflects our vision for the future of connectivity with a nod to our roots! Aurora Networks and RUCKUS Networks are now part of Vistance Networks. Aurora’s Team is looking to hire an Embedded Software Engineer onsite four days a week in our Santa Clara, CA facility. Only local candidates will be considered. As a member of Aurora’s Software Engineering Team, you will be developing firmware/software for our variety of embedded products. You will make an impact by working with our engineering development team to influence the design of the software. We will encourage you to work in various projects and coordinate with our offshore team who develop applications for monitoring and controlling our embedded devices. Engage with Quality Assurance in designing test plans, test scripts and implementing them. You will also analyze test results and collaborate with the other developers to troubleshoot issues and improve product functionality. • Bachelor’s degree in computer science or a related field with 4 years of experience or master’s degree in computer science or a related field with 2 years of experience., • Software/Firmware development experience using C, C++, • Strong theoretical background and experience in software development for embedded devices, • Proven experience with various data structures and handling bit fields is important, • Development experience with interfaces like i2c, SPI, UART, and USB, • Working knowledge on basic electronic circuits and understanding schematic diagrams, • Strong analytical, problem-solving, and debugging skills, • Detail-oriented with excellent written and verbal communication skills, • Familiarity with system level testing of embedded devices and related testing tools, • Familiarity with scripting languages like SHELL, Python, Perl, • Experience in Mobile, web, GUI apps testing, • Knowledge in TCP/IP Protocols like TFTP, SNMP and HTTP, • Familiarity with agile software development methodologies and test workflows via automation (GitHub and Slack integrations, notifications, and alerts), • Experience with one or more of the automation tools: Kotlin/Android, Appium, Selenium, Cypress, or JEST, • Knowledge of Full Stack development Our salary ranges consider various factors, including but not limited to benchmarking by independent third-party consultants, skills, years of experience, training, education, geography, and other business needs. Depending on experience, the range can be higher for candidates with outstanding experience and a demonstrated history of successful performance. This position's expected total compensation (base salary and commission range) is $100,00-$128,000.00 The candidate will be rewarded with a comprehensive benefits package, including medical, dental, and vision plans, life and accidental death insurance, a 401(k) plan, and participation in the Company’s Incentive Plan. Candidates starting with the Company will be eligible for eleven paid holidays in a full calendar year, paid vacation (prorated based on start date), and other leave options. What Happens After You Apply: Learn how to prepare yourself for the next steps in our hiring process by visiting ___ Why Join Us? Vistance Networks shapes the future of communications technology, pushing past what is possible. We deliver solutions that bring reliability and performance to a world always in motion. Our global team of innovators and employees are trusted advisors who listen to customers first, then deliver value. Aurora Networks (formerly CommScope’s Access Networks Solution segment) is the world’s leading provider of access network solutions. Our comprehensive, end-to-end product portfolio supports global service providers with innovative, leading-edge HFC, PON and broadband network products. If you want to grow your career alongside bright, passionate, and caring people who strive to create what's next…..come connect to your future at Vistance Networks. Vistance Networks is an Equal Opportunity Employer (EEO), including people with disabilities and veterans. #LI-onsite

Senior Software Engineer, Networking Switch Infra corporate_fare Google place Sunnyvale, CA, USA Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Minimum qualifications: * Bachelor's degree or equivalent practical experience. * 5 years of experience with software development in one or more programming languages. * 5 years of experience with software development in C++, C, or Python. * 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. * 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. * Experience with Kernel development, and architecting and developing distributed systems design. Preferred qualifications: * Master's degree or PhD in Computer Science or related technical field. * 5 years of experience with data structures and algorithms. * Experience with any of the following: data center networking, ethernet switching, switch infrastructure, network operating systems. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will revolutionize how Google builds and operates its data center networks. You will develop the software stack that powers the switches at the heart of Google's global network. By leveraging and extending the open-source technology, you will provide a highly programmable and robust platform for Google's earth scale software defined infrastructure. Your work will directly impact the performance, reliability, and efficiency of the network that underpins all of Google's services, operating at an unparalleled scale. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The US base salary range for this full-time position is $174,000-$255,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google () . Responsibilities * Write and test product or system development code. * Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. * Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). * Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. * Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy () ,Know your rights: workplace discrimination is illegal () ,Belonging at Google () , andHow we hire () . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form () . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: .

We are actively looking for a Front-End Full Stack Engineer (React.Front-End Full stack Engineer (React.Location: Sunnyvale, CA or Remote possible.React/Redux, HTML, CSS, and other JavaScript libraries.Strong expertise in Webpack, Single Page Applications (SPA), Next.Proficiency in React Context, Ho

As a Full Stack Engineer focusing on Cerebras' manufacturing test platform, you will design, build, and maintain a comprehensive test software solution for all stages of manufacturing – from individual components to complete Cerebras systems. Bachelor's degree in computer science, comp

About Mercor’s talent network Join our Full-Stack Engineer Expert Network to connect with leading AI labs and companies seeking Full-Stack Engineering expertise. By applying, you're joining our Full-Stack Engineer talent network. About Mercor projects Experts in our network contribute to: - Tr

Senior AI Product Engineer Seed-stage AI startup | San Francisco $225K–$300K + equity On-site 5 days a week The opportunity This is a chance to join an AI-native product at real inflection point, going from zero to thousands of users in weeks and now growing 30–50% week over week through word of mouth, with strong daily engagement and retention. The company has raised $18M in seed funding and is building a proactive AI assistant that actually does work for users rather than just responding to prompts. The founding team has scaled products from $10M to $300M+ ARR and previously built and exited companies to Dropbox and Google. What you'll do • Own and ship user-facing features end-to-end across the full stack, from idea ? launch ? iteration, • Drive product thinking, working closely with founders, design, and customers to shape what gets built, • Build AI-powered experiences used daily by real users, • Operate in fast feedback loops, shipping quickly and iterating based on usage, • Take high ownership over product quality, direction, and execution What they're looking for • 4+ years building and shipping products, ideally in early-stage or high-growth startups, • Proven experience owning features in production with real users, • Strong product intuition combined with full-stack capability, • Comfortable using AI-native tools to move faster and build more efficiently, • Thrives in high-ownership environments with speed, ambiguity, and minimal structure Why join • You'll be joining a small, high-calibre team at an early but already proven stage, with real traction, strong compensation and meaningful equity, and the opportunity to play a defining role in how people interact with AI on a daily basis.

Hello, Immediate Position Open for AI Engineer/AI Agent Engineer Title: AI Engineer/AI Agent Engineer Location: Sunnyvale, CA - Hybrid Job Description: Key Responsibilities • Design and build AI agents capable of multi-step reasoning, task execution, and tool usage using LLM frameworks (e.g., LangChain, LlamaIndex), • Develop end-to-end AI/ML pipelines including data ingestion, model training, evaluation, deployment, and monitoring, • Build and optimize LLM-powered applications such as chatbots, recommendation systems, search, and personalization engines, • Implement RAG (Retrieval-Augmented Generation) systems integrating vector databases (e.g., Pinecone, Weaviate), • Create autonomous workflows and agent orchestration for use cases like customer support automation, supply chain optimization, and internal tooling, • Fine-tune and evaluate models from providers such as OpenAI, Meta (LLaMA), and open-source ecosystems, • Ensure scalability, latency optimization, and cost efficiency of AI systems in production environments, • Collaborate with product managers, data scientists, and engineers to translate business problems into AI-driven solutions, • Apply Responsible AI practices including bias mitigation, explainability, and data privacy compliance ABOUT US: Anagh Technologies is a technical consulting firm specializing in UI, Front-End, and Full-Stack web technologies. We currently have 30+ positions in Angular, React, Node, and Java. If technically strong, we can 100% get you an offer within 2 weeks MAX, as we will consider you for multiple roles at once. If you are interested and are available, please email me your resume and contact information to rohit AT anaghtech.com. Thank you for your time

AI Engineer 1. Organization Overview (Concise & Neutral) A fast-growing oncology-focused organization is reinventing how clinical trials operate by integrating them tightly with real-world clinical practice. Cross-disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human-in-the-Loop (HITL) model to deliver regulatory-grade outcomes that expand trial access and accelerate cancer drug development. What's Different • Clinical trials are embedded within clinical practice—not run in parallel., • Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations., • Strong commitment to rigorous testing, validation, privacy, and ethical AI., • Mission-driven culture with high collaboration and urgency. Why Join Now • AI is essential to scaling the business—impact is immediate and visible., • Opportunity to build an end-to-end applied AI stack powering clinical teams., • Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2. Role Overview — AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas • LLM development and LLM-Ops for text extraction and structuring; some CV/multimodal., • Rapid prototyping with high software-engineering hygiene., • Statistical validation plans, experiment design, and metrics ownership., • HITL workflow development to reduce manual QA and improve throughput., • Collaboration with Platform Engineering for production alignment., • Comprehensive documentation: datasets, experiments, model cards, QA audits., • Build AI models and pipelines across EMR/EHR, imaging, and clinical documents., • Translate ambiguous clinical requirements into measurable ML objectives., • Define metrics, design experiments, and estimate/model error., • Lead interim QA audit processes and evolve toward AI-assisted QA., • Partner with data/platform engineers on scalability, data flow, and observability., • Deliver validated AI components for abstraction and note generation., • Meaningfully reduce manual QA workload through HITL optimization., • Standardize testing and documentation frameworks., • Establish efficient PySpark/SQL/Postgres data-manipulation patterns that accelerate iteration. 3. Product & AI Context In-Flight Work • LLM-powered abstraction and clinical note generation with HITL., • Drive productivity gains for internal labeling/abstraction teams., • Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4. Ideal Candidate Profile Background • MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience., • 2–5+ years in AI/ML engineering or applied data science., • Expert-level Python + strong software engineering practices., • Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV)., • Data engineering: PySpark, SQL, Postgres, data modeling, query tuning., • Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP)., • Experiment design, statistical validation, and error analysis., • Additional languages: R, Java, C++., • MLOps fundamentals (versioning, lineage, CI/CD)., • Prior oncology or clinical trials exposure.

Job DescriptionFull Stack AI Engineer Sunnyvale, CA-94085 - Hybrid - come onsite as needed Duration: 12 months Job Description Minimum Qualifications • Experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Preferred Qualifications #TB_EN #ZR Why TalentBurst? At TalentBurst, we deliver more than talent, we deliver outcomes. We partner with you to move quickly and connect you to opportunities aligned with your skills and long term growth. Backed by precision, transparency, and results, we connect top talent with leading organizations through trusted partnerships. We offer competitive compensation and comprehensive benefits, including medical, dental, vision, and retirement options. TalentBurst is an equal opportunity employer committed to an inclusive and diverse workforce. Company DescriptionFounded in 2002 by three former Monster.com executives; TalentBurst is an award-winning full-service Staffing Firm working directly with Fortune 500 companies in the US and Canada. We specialize in Contract and Contract to Permanent roles across many industries and have direct/contractual relationships with all our clients. Please visit our website or come meet us at our offices in Natick, MA, Miami, FL, Christiansburg, VA, Vineland, NJ, Houston, TX & downtown San Francisco, CAFounded in 2002 by three former Monster.com executives; TalentBurst is an award-winning full-service Staffing Firm working directly with Fortune 500 companies in the US and Canada. We specialize in Contract and Contract to Permanent roles across many industries and have direct/contractual relationships with all our clients. Please visit our website or come meet us at our offices in Natick, MA, Miami, FL, Christiansburg, VA, Vineland, NJ, Houston, TX & downtown San Francisco, CA

Position Summary... What you'll do... As a Staff Software Engineer , you'll be a technical leader who defines the direction for and evolves the backend microservices, data pipelines , and ML-serving infrastructure that power search at massive scale. You'll lead a team of 6-10 engineers, set the technical vision for critical systems, create clarity from ambiguity on complex cross-functional initiatives, and drive the quality bar across the team. You'll spend your days writing and reviewing code, leading design discussions, and making the architectural decisions that shape the next generation of Walmart Search. Your work will shape how hundreds of millions of customers discover products every day. We're in an active phase of platform modernization - redesigning and refactoring core systems. If you want to build, not just maintain, this is the right time to join. About Team: The eCommerce Search engineering team owns the end-to-end technology stack that powers product search and discovery across Walmart's global eCommerce channels, backed by microservices, large-scale data and feature pipelines, search engines, and ML model serving infrastructure. We handle millions of queries per day, and every improvement to our systems directly impacts how customers find what they need. Our systems tackle an advanced set of problems in the search domain: * Query & Intent Understanding - Query classification, product type prediction, intent recognition, and sequence tagging using classical ML, NLP, and deep learning techniques. * Autocomplete - Real-time query suggestions at low-latency, high-throughput scale. Retrieval & Search Execution - Complex query construction, faceted navigation, semantic and vector-based retrieval, and result orchestration across search engines. * Multi-phase Ranking - ML-powered ranking models that optimize for customer satisfaction and business outcomes across multiple ranking stages, using learn to rank and neural models. * Data & Feature Pipelines - Large-scale pipelines that feed search indices, feature stores, and analytics platforms. What you'll do: * Define the technical direction and drive the architecture for mission-critical search microservices - spanning Core Orchestration, Query Understanding, Autocomplete, Facet & Navigation, Ranking, and more. * Design, build, and optimize high-throughput, low-latency backend services, applying best practices around distributed systems, fault tolerance, horizontal scalability, concurrency, and performance tuning. * Design and build high-scale data and feature pipelines that process data through transformation and aggregation layers into downstream data stores, search indices, and feature stores. * Architect complex query patterns and integrations with search engines to power relevance, ranking, and retrieval at scale. * Lead discovery and design phases for medium-to-large initiatives - partnering with product management, data science, and UX to translate business requirements into scalable technical solutions; build cross-functional alignment, drive proof-of-concepts, and validate ideas through prototypes. * Design and run A/B experiments to validate search improvements; use data-driven analysis and continuous monitoring to measure the impact on customer engagement and business metrics. * Technically lead a team of 6-10 engineers, including collaboration with offshore/distributed team members - providing architectural guidance, conducting design and code reviews, identifying and removing blockers, and setting the quality bar for the team. * Mentor and grow engineers across experience levels; drive a culture of engineering excellence through knowledge-sharing, disciplined testing practices, and thoughtful documentation. * Collaborate with data scientists to productionize ML models for ranking and query understanding; contribute to MLOps practices, feature store development, and model serving optimization for latency and throughput in production. * Build and maintain observability, monitoring, and alerting for search services; participate in on-call rotations and own the reliability of Search platform services in production - troubleshoot issues with urgency, perform root cause analysis, and build preventive measures. * Contribute to long-range technical roadmaps and communicate technical strategy to senior leadership; resolve cross-team technology disagreements through informed discussion and represent the team in org-level architectural decisions.Stay current with industry research and emerging technologies in search, distributed systems, and ML to inform the team's technical direction. * Work boldly with a sense of urgency - embrace mistakes, learn from them quickly, and drive the team toward success. What you'll bring: * 10+ years, of experience designing, developing, and shipping production code in large-scale distributed systems. * Deep expertise in backend development with Java and Spring Boot - strong fundamentals in object-oriented design, concurrency, and performance optimization. * Proven track record building cloud-native, high-throughput microservices - including RESTful API design, fault tolerance patterns, and horizontal scaling - deployed on Kubernetes. * Hands-on experience designing and building data and feature pipelines at scale using Apache Spark (including SparkSQL), working with streaming platforms like Kafka, and NoSQL databases like Cassandra. * Demonstrated ability to technically lead teams of 6-10 engineers - setting architectural direction, mentoring, and raising the quality bar through design and code reviews. * A disciplined, test-driven approach to development - you're well-versed in testing frameworks (JUnit, Mockito) and bring a genuine commitment to code quality, testability, and documentation. * Strong communication skills - able to create clarity from ambiguity, articulate technical trade-offs to both engineering peers and non-technical stakeholders, and influence across teams. * Proficiency in big data processing and analytics using technologies such as Hive, BigQuery, GCP/GCS, or equivalent. * Familiarity with NoSQL databases (Cassandra, Cosmos DB), distributed caching, and cloud object storage (Azure Blob Storage). * Track record of refactoring, redesigning, or rewriting existing high-scale applications is a plus - we are actively modernizing our search platform. Preferred Qualifications : * Experience with search engines (Solr, Elasticsearch, Vespa) or similar information retrieval systems, including vector search and embedding-based retrieval (e.g., FAISS, ANN indexes), and familiarity with search domain concepts such as query understanding, retrieval strategies, multi-phase ranking, and relevance optimization. * Background in machine learning - including core concepts (classification, regression, neural networks, transformer-based models, LLMs), hands-on experience with frameworks (PyTorch, TensorFlow, scikit-learn, XGBoost), and an understanding of the full model lifecycle from training through production serving. * Hands-on work with ML infrastructure in production - including MLOps practices, model serving optimization (dynamic batching, TensorRT, ONNX, quantization), and building training and inference pipelines at scale. * Proficiency in Python for data engineering, ML prototyping, or production scripting . * Familiarity with cloud data platforms and orchestration tools such as GCP, BigQuery, and Airflow. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions, and reimagine the future of retail. Flexible, hybrid work: We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose, and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team, and be more flexible in our personal lives. Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart () . The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : ? ? ? ? Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area. Option 2: 6 years' experience in software engineering or related area. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment. Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.

We are seeking a highly motivated and versatile Full Stack Engineer to join our core engineering team. Solid understanding of software engineering principles and best practices. As an early team member, you'll have the opportunity to contribute to key technical decisions and help define our engineer

About We're not just automating calls—we’re transforming how the world communicates. Our AI voice agents are reshaping sales, support, and customer engagement for leading brands. Backed by Alt Capital, Y Combinator, and top-tier investors, we've raised $4.7M in seed funding and hit $14M ARR with just 12 people. We’re one of the fastest-growing Voice AI startups and we're on a mission to become the standard for voice automation at scale. About the Role As a Founding Senior Backend Engineer, you’ll shape the core systems powering millions of AI-driven conversations. You’ll tackle real-time audio, global telephony, and developer tooling, working across the stack with the founding team. This high-impact role offers rapid feedback loops, customer collaboration, and the chance to define a category-leading product. Key Responsibilities • Build foundational architecture for the company's platform, such as prompt orchestration, testing frameworks, observability dashboards, and telephony integrations., • Design scalable backend systems and DevOps workflows for reliable performance across millions of calls., • Lead complex projects from architecture to production, driving delivery and monitoring., • Collaborate with product and design teams to create intuitive APIs and interfaces for quick customer onboarding., • Support customer onboarding, troubleshoot issues, and turn feedback into product improvements. You Might Thrive If You • Have 2+ years of backend development experience with a degree in CS, CE, or EE., • Take ownership like a founder, with a passion for impactful software., • Thrive in fast-paced, ambiguous environments, solving new problems with curiosity., • Communicate clearly, collaborate across teams, and drive momentum., • Have startup experience or grit to adapt, with bonus points for cloud infra/DevOps knowledge. Job Details • Job Type: Full-time, 70 hr/week (50 hr/week onsite with flexible hours + 20 hr/week work from home), • Cash: 215k - 290k, • Equity: 0.4 - 0.6%, • Location: Redwood City, CA, US, • US Visas: Sponsors Visa & Green Card Other Benefits • 100% medical, dental, vision insurance coverage, • Unlimited breakfast, lunch, dinner, and snacks, • Gym and daily commute fee reimbursement, • Internet and phone bills covered Compensation Philosophy • Best Offer Upfront: Choose from three cash-equity balance options, no negotiation needed., • Top 1% Talent: Above-market pay (top 5 percentile) to attract high performers., • High Ownership: Small teams, >$1M revenue/employee, and significant equity., • Performance-Based: Offers tied to interview performance, not experience or past salaries.