Security engineer jobs in Sunnyvale, California - Page 8Crear alertas

Job DescriptionZyphra is an artificial intelligence company based in Palo Alto, California The Role: As a Machine Learning Engineer, you will be a core contributor to Zyphra’s Agentic Systems and Interaction projects. You will be at the forefront of building a next-generation desktop and browser-based agent that can autonomously navigate the web, interact with filesystems, and complete complex user tasks. This role spans frontend interfaces, secure sandboxing environments, large-scale document search and retrieval, and language/vision model integration. You’ll work across: * Design and implementation of an agentic system capable of interacting with browsers, operating systems, and enterprise filesystems * Building search and retrieval pipelines across large-scale structured and unstructured data * Integrating LLMs, vision models, reinforcement learning, and scaffolding frameworks for autonomous, multi-step decision-making * Engineering secure virtualized runtimes and backend services for agent execution * What matters most is your drive to build production-grade ML systems that push the boundary of what software agents can do * We value velocity and curiosity, especially in fast-moving and ambiguous environments Requirements: * Proficiency in Python and a deep understanding of building and debugging complex ML-driven applications * Experience working with desktop operating systems (Windows and macOS), including APIs for screen reading, file interaction, and accessibility frameworks * Experience developing browser extensions or automation tools with fine-grained control over the browser (mouse, tabs, DOM) * Understanding of LLMs, prompting techniques, and orchestration frameworks for multi-step reasoning * Ability to work across the full ML stack, from model integration to serving infrastructure * Experience designing or working with secure and virtualized execution environments * Excellent communication and collaboration skills across product, research, and engineering teams Bonus Qualifications: * Experience building or integrating retrieval-augmented generation (RAG) systems * Experience working with enterprise security and compliance frameworks (e.g., SOC 2) * Familiarity with vector databases and large-scale document indexing * Knowledge of web automation tools and headless browser environments (e.g, Puppeteer, Playwright) * Understanding of sandboxed or containerized compute environments with strict access controls * Comfort designing user-facing agentic workflows and reasoning systems that span multiple modalities (text, vision, actions) * Experience using and fine-tuning models for screen reading, OCR, or UI understanding * Background in HCI or interest in building intuitive agent interfaces that extend human capabilities Why Work at Zyphra: * Our research methodology is to make grounded, methodical steps toward ambitious goals. Both deep research and engineering excellence are equally valued * We strongly value new and crazy ideas and are very willing to bet big on new ideas * We move as quickly as we can; we aim to minimize the bar to impact as low as possible * We all enjoy what we do and love discussing AI Benefits and Perks: * Comprehensive medical, dental, vision, and FSA plans * Competitive compensation and 401(k) * Relocation and immigration support on a case-by-case basis * On-site meals prepared by a dedicated culinary team; Thursday Happy Hours * In-person team in Palo Alto, CA, with a collaborative, high-energy environment

Job DescriptionAbout us:Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions. Role Overview:We are looking for a Photonics test development engineer to join our test development team! What you'll be doing: • Responsible for design, development, and qualification of test platforms used for internal validation and deployment in our manufacturing line., • Develop and optimize alignment routines for lens and other optical components used in our integrated core sensing optical module., • Work with external vendors to evaluate, specify, and procure advanced test platforms and burnin stations for photonics components such as lasers, detectors, and Silicon Photonics based Photonic integrated circuits (PIC), • Design test fixtures and integrate with motion stages for custom PIC, laser, and subassembly test platforms., • Perform system integration of instruments and optics for photonic test systems, • Run test system debug and GR&R tests for system qualification, • Prepare and maintain detailed design documents and BOM for test systemsWhat you'll have:, • MS or Ph.D. in Optical engineering, Physics, Mechanical Engineering, or related technical discipline, • Experience with optical alignment systems, • Experience in Silicon Photonics R&D, laser development, or related photonics product development, • Strong experience in Python coding for instrument control and station automationNice to have:, • Experience with SolidWorks for designing test fixtures for motion system integration, DUT socketing mechanical design and DUT thermal managementWhat's in it for you:, • Be part of an early start-up that's backed by industry-leading venture capitalists, • Very competitive compensation and meaningful equity!, • Exceptional benefits: Medical, Dental, Vision, and more!, • 401k matching, • Unlimited PTO: We care about results, not punching timecards

Job DescriptionAt ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. We are guided by principles that shape how we think, build, and execute, including deep customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in small, highly skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We’re building a globally diverse team of technologists and problem solvers who thrive in fast-paced environments, value collaboration, and approach every challenge with a Day 1 mindset. With hubs in New York City, Mountain View, Latin America, and India. If you’re driven by continuous learning, rapid iteration, and the challenge of building in a high-growth startup, this is more than a role—it’s a journey. We are seeking a Senior Staff Systems Engineer to drive the architectural vision for our GenerativeAgent product. In this role, you will design and build a highly scalable, multi-agent platform that powers real-time voice and text customer service experiences across a wide range of industries. As a Senior Staff Engineer, you will set long-term system direction, tackle the organization’s most complex technical challenges, and partner closely with engineering, product, security, and operations leaders. You will ensure our systems are resilient, scalable, and tightly aligned with both customer needs and business goals, while maintaining a strong hands-on presence and broad organizational impact.What you'll doTechnical Leadership & Influence • Act as a technical authority and advisor across multiple engineering teams, • Develop and drive alignment on system design, technical roadmaps, and best practices, • Design and implement a scalable, multi-tenant deployment architecture that supports easy configuration of agents and business workflows for various customers, • Define the communication, state management, and orchestration patterns for multi-agent systems, • Mentor senior engineers and help raise the bar on systems thinking across the organizationReliability, Scalability & Security, • Own and define system-level SLOs/SLIs for high-traffic, real-time voice and text services, focusing on latency, cost-efficiency, and fault tolerance across the ecosystem, • Identify systemic risks and proactively design mitigation strategies, • Partner with Security and Compliance teams to ensure systems meet regulatory and security requirements, • Lead post-incident analysis and drive systemic improvementsCross-Functional Collaboration, • Partner with Product, Customer Engineering, SRE, and TPMs to translate business requirements into system designs, • Work with Research to evaluate and productionize cutting-edge ideas in the ML space, • Drive complex initiatives that span multiple quarters and involve multiple teams, • Communicate complex technical concepts clearly to both technical and non-technical stakeholdersWhat you'll need, • 10+ years of experience building large-scale production systems, • Mastery in at least one cloud platform (AWS, GCP, Azure), • Expertise with container orchestration (Kubernetes), • Expertise with Python and/or Golang, • Excellent communication, consensus-building, strategic thinking, and mentorship abilitiesDeep understanding of:, • Distributed systems design patterns (e.g., service mesh, event-driven architecture, microservices), • Reliability engineering principles, • System performance and capacity planning, • Ability to lead through influence rather than authorityWhat we'd like to see, • Expertise with the LLM development lifecycle (e.g. fine-tuning, RAG, deployment, evaluation, monitoring & feedback), • Strong track record of building multi-agent systems at scale

Job DescriptionAbout us:Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions. Role Overview:We are seeking an experienced Systems Engineer to be a key contributor in the robust development and lifecycle maintenance of our next-generation Lidar sensor products. This role requires the practical application of detailed systems engineering processes to ensure that design and implementation adhere to stringent automotive standards. You will be responsible for implementing and maintaining work products for ASPICE, Functional Safety (ISO 26262), and Cybersecurity (ISO/SAE 21434) compliance, ensuring requirements traceability and robust analysis. This position requires experience in sensor technology, the use of systems engineering tools and a strong background in automotive systems standards.What you’ll do: • Maintain the product technical requirements and detailed system design documentation using a formal management tool., • Perform detailed architectural decomposition and derive clear, verifiable component-level requirements., • Utilize system modeling to conduct technical trade-off studies, perform design analysis, and validate architectural decisions., • Implement and document the Functional Safety Concept (ISO 26262) and the Cybersecurity Concept (ISO/SAE 21434), including necessary safety/security analyses (FMEA, FTA, TARA, etc.), • Act as the technical systems liaison, ensuring requirements traceability, verification planning, and interface consistency across disciplines.What you’ll have:, • 5+ years of experience in Systems Engineering or a related technical role, preferably in the automotive or high-reliability sensor industry., • Hands-on technical understanding and experience with sensor technology and its application in autonomous systems (Lidar experience preferred)., • Expertise in the execution and documentation of systems processes related to ASPICE, Functional Safety (ISO 26262), Cybersecurity (ISO/SAE 21434) and SOTIF (ISO 21448)., • Experience with Requirements Management Software (e.g., DOORS, Polarion, JAMA)., • Experience with Model-Based Systems Engineering (MBSE), such as SysML modeling, is desirable.What’s in it for you:, • Be part of a fast-paced and dynamic team, • Very competitive compensation and meaningful stock grants, • Exceptional benefits: Medical, Dental, Vision, and more

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role We are operating some of the world’s largest GPU supercomputing clusters to support cutting-edge AI research and large-scale model deployment. We’re looking for an Infrastructure Engineer to join our core platform team to help build, operate, and scale our hybrid infrastructure across both on-prem and cloud environments. This role is ideal for engineers who thrive at the intersection of distributed systems, cloud automation, and high-performance computing.Key Responsibilities • Operate and scale high-performance GPU clusters used for AI training and production inference., • Manage infrastructure across on-premise (Slurm-based) HPC environments and cloud providers like AWS and Azure., • Implement and maintain Infrastructure as Code using Pulumi, Terraform, or Ansible., • Enhance and secure deployment pipelines using Kubernetes, Flux, and ArgoCD., • Help define and enforce security best practices for internal researchers and production services., • Continuously improve observability, resiliency, and operational tooling across environments.Tech Stack, • Kubernetes, Slurm, • Pulumi, Terraform, Ansible, • Rust and Go, • Flux, ArgoCD, • AWS, AzureProfessional Experience, • Strong experience managing compute infrastructure in hybrid environments (on-prem and cloud)., • Hands-on experience operating Slurm clusters at scale., • Proficiency in deploying and managing containerized applications, ideally written in Rust or Go., • Solid background in IaC and CI/CD best practices., • Experience working with GPU workloads or HPC infrastructure is a strong plus.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at Security Engineer, Cloud Security (Platform Security) CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do As a Cloud Security Engineer at CoreWeave, you'll drive the security related efforts related to the design, implementation, and maintenance of secure cloud environments. This role requires deep expertise You'll use your deep expertise in public cloud security principles, best practices, and cutting edge technologies to define secure baselines, enforce policies, and embed security into public cloud architectures. You'll be a champion of automation and everything-as-code. You'll more than likely draw the owl as well. • Design, implement, and maintain scalable and robust security solutions for public cloud environments, utilizing guardrails, policies, and industry-leading practices, • Define and maintain comprehensive security baseline requirements, policies, and standards for public cloud platforms (e.g., AWS, Azure, GCP), • Lead the design, implementation, and automation of security controls in public cloud environments, including primitives such as IAM, detection and monitoring, configuration management, and data protection, • Utilize everything-as-code tools such as Terraform, to automate as much toil as possible Who You Are Minimum Qualifications • 5+ years of progressive experience in cloud security architecture and engineering, • Deep and demonstrable understanding of public cloud platforms (e.g., GCP, AWS, Azure), • Proven experience in designing, implementing, and automating security controls in cloud environments across the entire stack, • Proficient in Go and/or Python (you can write software in one of these languages), • A track record of creating meaningful technical documentation that teammates actually want to read, • Open-source contributions in the public cloud security space, • Experience with operationalizing CSPM tooling (like Wiz), • Strong understanding of threat modeling and secure design principles, • Strong knowledge and experience with modern container orchestration technologies The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionAbout us:Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions. Role Overview:We’re looking for an engineer who can own data collection, scalable data systems, MLOps workflows and ML deployment. You’ll work cross-functionally with perception, operations and labelling teams to build fast, reliable, and production-grade ML pipelines.What you will be doing • Deploy and optimize ML models across cloud, on-prem, and edge devices using TensorRT and CUDA., • Profile, debug, and tune GPU performance; support CUDA kernels, TensorRT integration, and inference optimization., • Build and maintain CI/CD and automated MLOps pipelines for training, evaluation, and deployment., • Maintain data-collection vehicle integrity, ensuring reliable HW/SW integration of cameras, LiDAR, compute units, storage, and networking., • Collaborate with the operations team to plan, support, and execute autonomous-driving data collection runs., • Design and operate scalable data ingestion and ETL pipelines for large sensor datasets (camera, LiDAR, logs) while maintaining efficient structuring of high-volume perception data., • Work with external annotation and labeling vendors, ensuring high-quality labels, smooth delivery, and label validation loops.What You Have, • 5+ years industry experience (or 3+ with a Master’s) in software, ML, or robotics systems., • Strong Python and C++ skills, with experience in PyTorch/TensorFlow and CUDA., • Proven experience deploying and optimizing GPU inference (TensorRT, ONNX Runtime)., • Experience with large sensor datasets and building scalable data/ETL pipelines., • Hands-on experience collecting data for robotics or perception systems (camera/LiDAR rigs, logging tools, HW/SW integration, field data workflows)., • Comfortable working with SQL/NoSQL datastores as part of data workflows., • Experience collaborating with external labeling/annotation vendors., • A strong, “can do” mindset which a commitment to owning and successfully executing high priority, high visibility initiativesWhat’s in it for you:, • Be part of a fast-paced and dynamic team, • Very competitive compensation and meaningful stock grants, • Exceptional benefits: Medical, Dental, Vision, and more

Job DescriptionCompany Description At Butterfly Network, we're leading a digital revolution in medical imaging, transforming an industry that has long relied on bulky, analog systems. With our proprietary Ultrasound-on-Chip™ technology, we're democratizing healthcare by shifting ultrasound from the expensive, stationary systems of the past to the connected, mobile, and software-enabled platforms of today. In 2018, we launched the world's first handheld, whole-body ultrasound, Butterfly iQ – followed by iQ+ in 2020 and iQ3 in 2024, each more powerful than the last. Our innovation doesn't stop at hardware. Butterfly combines our advanced device with intelligent software, AI, services, and education to drive adoption of affordable, accessible imaging. Our technology is proving to help clinicians, clinics, and hospitals enhance care, cut costs, and expand imaging access. We've been recognized by Prix Galien USA, Fierce 50, TIME's Best Inventions, Fast Company's World Changing Ideas, among other awards. We're a team of bold thinkers, problem-solvers, and innovators ready to shape the future of medical imaging. Let's build something extraordinary together! Job Description The Principal Electrical Engineer is a senior technical leader responsible for developing Butterfly's industry leading ultrasound products from concept to commercial launch and production scale-up. Responsibilities include, but are not limited to, defining electrical architectures, defining component and system level requirements, setting engineering standards, and solving the most complex technical challenges across products and systems. This role combines deep hands-on expertise with technical leadership, mentorship, regulatory rigor, and cross-functional influence. The Principal Electrical Engineer operates with a high degree of autonomy and is recognized as a subject-matter expert within the organization. As part of our team, your core responsibilities will be: • Lead electrical architecture and design for medical devices across the full product lifecycle, from early feasibility and risk analysis through design transfer, manufacturing, and post-market support., • Investigate and resolve complex technical issues arising during development, verification, manufacturing, and field use., • Collaborate closely with mechanical, firmware, software, systems, quality, regulatory, manufacturing, and clinical teams., • Serve as the technical authority for critical design decisions, trade studies, and risk management activities., • Evaluate and introduce new technologies, components, and design methodologies to improve safety, reliability, and manufacturability., • Partner with contractors and external partners on development of novel medical and non-medical ultrasound based systems to be used in a variety of settings and industries., • Define and maintain electrical engineering standards, best practices, and design controls aligned with medical device quality systems., • Drive system-level requirements decomposition and ensure traceability between user needs, design inputs, and electrical design outputs., • Author, review, and approve schematics, PCB layouts, analyses, and verification/validation plans., • Ensure electrical designs comply with applicable medical device standards and regulations, including IEC 60601, ISO 14971, IEC 62304 (as applicable), FDA 21 CFR Part 820, and MDR/IVDR where relevant., • Lead and support electrical risk management activities, including hazard analysis, FMEA, and fault tree analysis., • Support supplier selection, component qualification, and technical audits for critical electrical components and subsystems., • A minimum of a BS in Electrical Engineering or related technical disciplines, Master or Ph.D. degree preferred., • 10+ years of electrical system design / development for medical devices., • Expert-level knowledge of analog and digital circuit design, power management, and system integration for medical devices., • In-depth knowledge of and experience with medical device development across the entire product development lifecycle from concept to commercialization, Class II/III medical device experience under IEC 60601., • Extensive experience with schematic capture, PCB design and review, and design for manufacturability (DFM) and test (DFT)., • Strong understanding of electrical safety, EMC/EMI, signal integrity, power integrity, and reliability in medical environments., • Demonstrated experience working within design control and quality management systems., • Proven ability to provide technical leadership without direct authority and influence cross-functional teams., • Excellent written and verbal communication skills, including technical documentation for regulatory submissions. Innovation is what we do. Our values are how we make it happen. Butterflies are and believe in… • Patient-Centric Innovators: Our mission is THE mission., • Empowered to Impact: Every voice matters., • One Team, One Goal: Unity fuels progress., • Growth Champions: We embrace challenges. This is a hybrid position and will be based out of our office in either the Greater SF Bay Area or Burlington, MA. Benefits and Perks • Comprehensive health insurance, encompassing dental and vision coverage, is provided to all our employees. As a health-tech company, we prioritize the well-being of our teams. Additionally, employees have the option to buy up for enhanced health insurance coverage. We also contribute to Health Savings Account (HSA) accounts for all enrolled employees on an annual basis., • Comprehensive Employee Assistance Program - we provide access to tools and resources to support your emotional health and day-to-day needs., • 401k plan and match - we facilitate your retirement goals., • Eligible employees will have the opportunity to participate in Employee Stock Purchase Plan (ESPP), • Unlimited Paid Time Off + 10 Holiday Days a Year - recharge and come back ready to make an impact, • Parental Leave - we aim to provide our employees with time to bond with their growing family, along with additional support for primary caregivers to help transition back to work, • Competitive salaried compensation - we value our employees and show it, • Equity - we want every employee to be a stakeholder, • The opportunity to build a revolutionary healthcare product and save millions of lives! Compensation Our compensation is tied to geographic location: • Our estimated salary for this role located in Burlington, MA is around $160,000 + bonus + equity + benefits. Actual pay is determined by multiple factors such as skills, qualifications, experience and market demand., • Our estimated salary for this role located in the SF Bay Area is around $225,000 + bonus + equity + benefits. Actual pay is determined by multiple factors such as skills, qualifications, experience and market demand. For this role, we are only considering candidates who are legally authorized to work in the United States and who do not now or in the future require sponsorship for employment visa status. Butterfly Network does not accept agency resumes. Butterfly Network is an E-Verify Company. Butterfly Network is an equal opportunity employer. Regardless of race, traits associated with race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability or Veteran status. All your information will be kept confidential according to EEO guidelines. Butterfly requires security adherence responsibilities from all employees. These include: adhering to all company security policies and procedures, utilize provided company assets securely, and complete all required security awareness training programs. Safeguarding company data and systems from unauthorized access, modification, or destruction, contributing to the overall security posture of the organization. Immediately reporting any suspected or actual security incidents, including phishing attempts, malware infections, or unauthorized access, following the established incident response procedures. #KG-LI #LI-KG

Job Description Pre-Sales Engineer Palo Alto, CA, 94306 Requirements In this role, you'll play a pivotal role in our customer journey, acting as a trusted advisor and technical expert. You'll partner with our sales team to support existing deals and empower customers to make informed decisions about our solutions. Deep Dives with Customers: You'll collaborate with potential customers to understand their specific needs and challenges. Through technical discussions, you'll guide them through the decision-making process, explaining how Pathway addresses their unique requirements. Installation Expertise: You'll be the go-to person for all things installation. Prepare customers for the implementation process by walking them through security considerations, pipeline setup, and any other technical aspects. Building Trust and Relationships: Developing strong rapport with customers is key. You'll foster trust by being empathetic, likable, and demonstrating a genuine interest in their success. Knowledge Powerhouse: You'll stay up-to-date on our solutions and industry trends, ensuring you can confidently answer technical questions customers might have. We're looking for someone who: Possesses 5+ years of experience in a technical sales or application engineering role. Has a strong understanding of technical concepts and the ability to translate them into easy-to-understand language for non-technical audiences. Demonstrates excellent communication and presentation skills, effectively conveying complex information in an engaging manner. Thrives in a collaborative environment and enjoys working as part of a team. Is a natural problem solver, with a passion for helping others achieve their goals. Can navigate different cultures easily. Maintains a high degree of integrity and trustworthiness.

Job DescriptionWho are we? At Newcode.ai, we’re on a mission to reshape how organizations put AI to work in their day-to-day operations. In few months, we’ve moved from vision to reality—building products our clients truly love. As part of our fast-growing and highly ambitious team, you won't just drive the future of AI—you’ll help define it. Who are we looking for? As a Senior DevOps Engineer at Newcode.ai, you’ll architect and maintain the core infrastructure that powers our cutting-edge AI solutions. You will work hands-on with modern cloud technologies—such as Terraform, Kubernetes (AKS), Helm, and Azure Cloud—designing robust CI/CD pipelines with Github Actions and enabling secure, scalable deployments of microservices and multi-tenant architectures. You’ll play a pivotal role in shaping our engineering processes and system architecture from the ground up. As a key member of our fast-paced, collaborative team, you’ll enjoy the autonomy to drive best practices, influence critical decisions, and deliver high-impact solutions from day one. If you’re passionate about infrastructure-as-code, automation, and performance at scale, you’ll thrive here. Requirements What You'll Do • Build and maintain end-to-end features: Develop scalable APIs and intuitive user interfaces that delight our users., • Work collaboratively: Partner with Frontend and Backend specialists to create seamless, high-performance products., • Own your craft: Take responsibility for code quality, architecture, and the overall development lifecycle., • Innovate and iterate: Move quickly, experiment boldly, and help shape the evolution of our platform. What You’ll Do • Design, build, and maintain scalable infrastructure: Build and manage cloud environments and continuous deployment pipelines to support our AI-powered applications., • Collaborate across teams: Work closely with software engineers and product managers to ensure seamless, robust, and secure deployments., • Champion best practices: Take ownership of system reliability, automation, security, and infrastructure architecture., • Drive innovation: Quickly experiment with new tools, optimize workflows, and help evolve our DevOps capabilities as our platform grows. Who You Are • Seasoned DevOps Expert: 7+ years of experience architecting, deploying, and maintaining production environments for web applications., • Technical Depth:, • 5+ years with Terraform, • 5+ years with Kubernetes (AKS), • 3+ years with Azure Cloud, • 3+ years with Helm, • 2+ years with CI/CD pipelines (preferably GitHub Actions), • Proven experience setting up Microservices and multi-tenant architecture, • Startup Mindset: Thrive in fast-paced, dynamic environments and are comfortable wearing multiple hats., • AI-Curious: Excited to learn and support cutting-edge AI solutions and related technologies. Benefits Why Newcode.ai? • Join a collaborative, high-energy team where your ideas are heard and your impact is real., • Help design, build, and launch products shaping the future of artificial intelligence., • Work flexibly, in English, from anywhere in the EU. At Newcode.ai, you don’t just see the future—you help create it. Ready to shape what’s next? Apply today and join us in building a smarter, more efficient world powered by AI.

Job Description We're building the world's first marketplace for personal AI — where people don't just use AI, they become it. At Uare.ai, founded by Robert LoCascio (former CEO of LivePerson), we're creating a platform where prosumers and consumers come together — to build, share, and interact with AI versions of themselves. These aren't chatbots. They're living digital reflections that express knowledge, creativity, and emotion. Now we're looking for an Infrastructure/DevOps Engineer who can architect and operationalize this vision into a robust, scalable platform — someone who bridges development and operations to build reliable infrastructure that powers a world-class consumer product. About the role: We are looking for a talented Infrastructure Engineer to design, build, and maintain highly scalable, secure, and automated cloud infrastructure. In this role, you will work closely with engineering and ML teams to support both traditional backend services and ML pipelines on Azure. You will drive best practices, build CI/CD pipelines, and help ensure that our infrastructure is resilient, performant, and secure. What you'll do: • Design, provision, and manage scalable infrastructure in Azure using best practices., • Use infrastructure-as-code (IaC) tools (Terraform) to codify, version, and automate infrastructure., • Deploy and manage containerized applications using Docker and Kubernetes (e.g., AKS)., • Work with common service technologies: web servers, message queues, load balancers, and databases., • Build and maintain CI/CD pipelines to automate build, test, and deployment workflows., • Integrate security and compliance checks into pipelines (vulnerability scanning, secrets management, static analysis)., • Implement logging, monitoring, and alerting (Datadog, Sentry, cloud-native monitoring) to proactively detect and resolve issues., • Establish service-level objectives (SLOs), error budgets, and runbooks for reliability., • Embed security into infrastructure and delivery processes (DevSecOps): manage secrets (Azure Key Vault), enforce least privilege access, scan container images, integrate SAST/SCA in CI., • Conduct vulnerability assessments and remediation; automate patching and enforce security policies across infrastructure., • Support machine learning workflows and MLOps: help build, deploy, and maintain platforms leveraging MLflow, Airflow, and Temporal., • 5+ years experience in cloud infrastructure engineering / DevOps / SRE., • Strong hands-on experience with Azure., • Expertise in Terraform (or comparable IaC tools), Docker and Kubernetes., • Experience with common service technologies: web servers, message queues, load balancers, and databases., • Skilled with CI/CD tools and pipelines., • Proficient scripting skills (Bash, Python, PowerShell) and cloud-native languages such as Golang., • Understanding of monitoring, logging, and alerting systems., • Strong problem-solving skills and responsibility for production systems. Preferred / Nice to Have: • Experience with MLOps tools such as MLflow, Airflow, Temporal., • Experience building infrastructure for chat, messaging, or social media systems., • Familiar with DevSecOps practices: container scanning, static code analysis, secrets management., • Prior exposure to SRE practices (SLOs, error budgets)., • Familiarity with compliance or security frameworks (zero trust, identity management). This isn't just another infrastructure role — it's a chance to build the foundational systems that power human identity in the AI age. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity and a comprehensive benefits package. Annual Salary$150,000—$250,000 USD

Job Description Position Overview We are seeking a senior‑level Network Engineer to design, deploy, configure, and manage a broad spectrum of network and security infrastructure. The role includes responsibility for WAN, data‑center, campus, wireless, firewalls, routers, switches, network‑monitoring tools, and VPN solutions. Experience with data‑center relocations and new campus network design is highly valued. Key Responsibilities • Network Design & Documentation, • Update existing network diagrams and produce "to‑be" designs for new campus, data‑center, labs, and office environments., • Create and maintain high‑quality documentation for WAN, LAN, data‑center, wireless, and firewall designs and installations., • Implementation & Commissioning, • Install, configure, and test routers, switches, firewalls, wireless controllers, access points, and associated software., • Validate hardware, software, and connections to ensure proper configuration and performance., • Operations & Maintenance, • Perform scheduled maintenance, including software/firmware upgrades and equipment refreshes., • Enforce corporate change‑control and security policies; maintain standard operating procedures and checklists., • Advanced knowledge of OSPF, BGP, STP, BGP, VRF, IPv4 sub netting, 802.1x, PEAP-MSCHAPv2, TACACS+, SYSLOG, Cisco IOS, Cisco NX-OS, Arista, • Incident Management, • Diagnose and resolve critical incidents within defined SLA., • Provide after‑hours on‑call support for service restoration, troubleshooting, and equipment repair., • Project Management, • Document project scope, budget, schedule, test plans, and delivery terms., • Lead complex technical projects with minimal supervision and provide peer verification of release plans., • Team Leadership & Mentoring, • Collaborate effectively within a team environment., • Ensure accurate network documentation and facilitate knowledge sharing., • Communication, • Communicate clearly with stakeholders at all organizational levels; produce concise status and technical reports. Required Qualifications • Bachelor's degree (or Associate degree + CCIE written exam)., • Current CCNP certification; ambition to obtain CCIE (full exam)., • Minimum of 10 years experience designing, implementing, and supporting complex network infrastructures., • Deep knowledge of Cisco Catalyst and Nexus platforms, Cisco IOS, NX‑OS, and Arista EOS., • Advanced expertise in routing and switching protocols: OSPF, BGP, STP, VRF, and IPv4 subnetting., • Strong security background: 802.1X, PEAP‑MSCHAPv2, TACACS+, SYSLOG, Palo Alto NGFW, Panorama (including IPsec VPN)., • Hands‑on experience with Cisco Wireless LAN Controllers, ISE, and access points; ability to perform wireless site surveys., • Proficiency with monitoring tools (SolarWinds) and IP services (Infoblox DHCP/DNS)., • Experience managing Cisco UCS environments with virtual‑machine orchestration., • Proven ability to manage large‑scale technical projects with minimal guidance., • Excellent analytical, troubleshooting, and communication skills; proactive, mission‑driven attitude.

Job Description About Voltai Voltai is developing world models, and agents to learn, evaluate, plan, experiment, and interact with the physical world. We are starting out with understanding and building hardware; electronics systems and semiconductors where AI can design and create beyond human cognitive limits. About the Team Backed by Silicon Valley’s top investors, Stanford University, and CEOs/Presidents of Google, AMD, Broadcom, Marvell, etc. We are a team of previous Stanford professors, SAIL researchers, Olympiad medalists (IPhO, IOI, etc.), CTOs of Synopsys & GlobalFoundries, Head of Sales & CRO of Cadence, former US Secretary of Defense, National Security Advisor, and Senior Foreign-Policy Advisor to four US presidents. About this Role We are building next- generation tools for silicon design by combining deep verification expertise with modern AI systems. As a Senior Verification Engineer, your role isn’t just verifying chips but redefining how teams verify chips. If you want to build tools that scale with the new era of complexity in hardware, this role offers high ownership and direct impact on real-world chip development. What You’ll Do * Own verification strategy across multiple IP blocks and subsystems, from testbench * architecture to signoff. * Design and develop AI assisted workflows that accelerate verification, coverage closure, and debug. * Build reusable verification frameworks using SystemVerilog, UVM, Python and custom automation tooling. * Collaborate with ML and software teams to integrate AI models into existing DV environments. * Contribute to product direction by exploring how automation can reshape verification methodologies. * Work with customers in a forward deployed capacity when needed, translating real design challenges into product features. * Drive tapeout readiness with full accountability for quality metrics, regression health, and coverage targets. * Mentor junior engineers and help define best practices for next generation verification teams. What Makes This Role Unique * Opportunity to influence the future of tooling and AI guided verification flows. * High ownership from day one including technical decisions, roadmap input, and customer interactions. * Exposure to both engineering and product thinking. * Fast- moving environment built for builders who take initiative rather than wait for direction. Qualifications * 4 to 6 years of hands-on verification experience. * Strong SystemVerilog and UVM skills with proven debug depth. * Familiarity with Python or similar scripting languages. * Curious mindset toward AI or automation in verification, even if not an expert yet. * Ability to work across domains and communicate clearly with software or ML teams. * Comfortable interacting with clients, architects, and leadership when needed. * Thrives in a high responsibility environment and enjoys creating solutions that did not exist before. Bonus Skills * Experience with formal verification, co-simulation or stimulus generation frameworks. * Background in ML, LLMs, data pipelines, or tool development. * Previous involvement in customer facing or forward deployed engineering roles. * Demonstrated ability to build tools that others actually use.

Job DescriptionAbout the Company At Flow, we’re reimagining what it means to live, work, and connect. More than just a real estate company, Flow is a brand, a technology platform, and an operations ecosystem spanning condominiums, hotels, multifamily residences, and office spaces. We’re building a new kind of living experience: one that’s flexible, connected, and designed to create genuine community and real value for the people who call Flow home. Our mission is oneness: prioritizing our residents and their experiences, and fostering connection with ourselves, their neighbors, and the natural world. By putting people at the center of everything we do, we’re creating vibrant, human-centered communities where life, work, creativity, and play all come together in one place. About the Role As an early member of our engineering team, you will significantly influence the technical direction of Flow. We are in search of a Senior Platform Engineer who is not only enthusiastic about designing, developing, and deploying robust platform solutions but also committed to ensuring the reliability, scalability, and security of our system. Your contributions will be foundational in driving Flow towards achieving its goals and making a huge impact on the productivity of our product engineering team. At Flow, our mission is to utilize cutting-edge technology to enhance decision-making processes across the organization. As innovators in our domain, we aim to not only keep pace with the rapidly changing landscape of platform engineering but to be at the forefront of its evolution. Responsibilities: • Collaborate with product and engineering teams to define clear requirements and translate them into software solutions, • Core contributor to implementing foundational infrastructure, tooling and automation that is scalable, reliable, and secure, • Elevate site reliability engineering best practices while collaborating with back-end developers, • Develop service-level tooling to enhance productionization, data migrations, system hardening, and related initiatives, • Manage and optimize a multi-region environment, • Be available for on-call activities for infrastructure and servicesIdeal Background:, • A minimum 10 years in software engineering, site reliability engineering, or platform engineering, • Ability to design, implement and maintain the tools and systems that support service reliability, monitoring, and alerting, • Deep understanding of the principles of ensuring high availability, fault tolerance, and efficiency in distributed systems, • Experience with Infrastructure as Code (IaC): Proficiency with Terraform, • Experience with Kubernetes, • Experience administering cloud-based infrastructure (GCP preferred), • Experience troubleshooting production issues related to cloud infrastructure, configuration, monitoring, deployments, continuous integration and delivery, • A keen ability to balance elegant design with pragmatic tradeoffs, prioritizing continuous delivery of business value, • Ability to quickly learn and adapt to new skillsets, • Experience building software in fast-moving startup environments

Job DescriptionZyphra is an artificial intelligence company based in Palo Alto, California. The Role: As a Machine Learning Data Engineer - Systems & Retrieval, you will build and optimize the data infrastructure that fuels our machine learning systems. This includes designing high-performance pipelines for collecting, transforming, indexing, and serving massive, heterogeneous datasets from raw web-scale data to enterprise document corpora. You’ll play a central role in architecting retrieval systems for LLMs and enabling scalable training and inference with clean, accessible, and secure data. You’ll have an impact across both research and product teams by shaping the foundation upon which intelligent systems are trained, retrieved, and reasoned over. You’ll work across: * Design and implementation of distributed data ingestion and transformation pipelines * Building retrieval and indexing systems that support RAG and other LLM-based methods * Mining and organizing large unstructured datasets, both in research and production environments * Collaborating with ML engineers, systems engineers, and DevOps to scale pipelines and observability * Ensuring compliance and access control in data handling, with security and auditability in mind Requirements: * Strong software engineering background with fluency in Python * Experience designing, building, and maintaining data pipelines in production environments * Deep understanding of data structures, storage formats, and distributed data systems * Familiarity with indexing and retrieval techniques for large-scale document corpora * Understanding of database systems (SQL and NoSQL), their internals, and performance characteristics * Strong attention to security, access controls, and compliance best practices (e.g., GDPR, SOC2) * Excellent debugging, observability, and logging practices to support reliability at scale * Strong communication skills and experience collaborating across ML, infra, and product teams Bonus Skill Set: * Experience building or maintaining LLM-integrated retrieval systems (e.g, RAG pipelines) * Academic or industry background in data mining, search, recommendation systems, or IR literature * Experience with large-scale ETL systems and tools like Apache Beam, Spark, or similar * Familiarity with vector databases (e.g., FAISS, Weaviate, Pinecone) and embedding-based retrieval * Understanding of data validation and quality assurance in machine learning workflows * Experience working on cross-functional infra and MLOps teams * Knowledge of how data infrastructure supports training pipelines, inference serving, and feedback loops * Comfort working across raw, unstructured data, structured databases, and model-ready formats Why Work at Zyphra: * Our research methodology is to make grounded, methodical steps toward ambitious goals. Both deep research and engineering excellence are equally valued * We strongly value new and crazy ideas and are very willing to bet big on new ideas * We move as quickly as we can; we aim to minimize the bar to impact as low as possible * We all enjoy what we do and love discussing AI Benefits and Perks: * Comprehensive medical, dental, vision, and FSA plans * Competitive compensation and 401(k) * Relocation and immigration support on a case-by-case basis * On-site meals prepared by a dedicated culinary team; Thursday Happy Hours * In-person team in Palo Alto, CA, with a collaborative, high-energy environment If you're excited by the challenge of high-scale, high-performance data engineering in the context of cutting-edge AI, you’ll thrive in this role. Apply Today!

Job DescriptionAbout us:Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions. Role Overview:As a Photonics Lidar Engineer you will be partnering with cross functional teams to deliver photonics based FMCW lidar systems to the market. You will engage with the internal teams to model and analyze novel lidar solutions to deliver products to various lidar and depth sensing markets. You will be a critical part of the development and demonstration of new photonics designs, advancing the capabilities of Aeva’s product line.What you'll be doing: • Validate models by designing and conducting experiments for empirical data collection and analysis, • Detailed simulations and modeling of link, power, and thermal budgets to deliver lidar systems to specification, • Work closely with photonics designers, optics, mechanical engineers, and system engineers to create system POC and provide technical guidance for full system prototype designs, • Manage core technical details of new photonics prototypes and systems to ensure key results from concept phase translate through to full system demonstration, • Perform FA and debugging for early prototypesThis is not a complete list of responsibilities, rather a good representation of what you will be doing.What you have:, • 2+ years of hands-on experience in characterization of lidar systems, photonic components, subassemblies, and/or modules, • Excellent understanding of active and passive photonics components, electrical components, and thermal/mechanical interfaces, • MS or PhD in electrical engineering, physics, or other photonics related field, • Experience with lidar systems and depth sensors, preferably chip scale implementations, • Background in system level modeling for lidar, • Strong organizational and interpersonal skills with an ability to learn on the fly, • Experience using python, MATLAB, JMP, R, or similar for modelling and data analysisWhat's in it for you:, • Be part of a fast paced and dynamic team, • Very competitive compensation and meaningful stock grants, • Exceptional benefits: Medical, Dental, Vision, and more

Job DescriptionA World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir's defense product vertical builds mission-critical products for the modern warfighter. We provide a complete ecosystem where customers can securely integrate and visualize their data, and build sophisticated, full-fledged programs such as common operating pictures, alert-triaging inboxes, and resource allocation planning tools driven by rich-ML models. Our customers use our defense offering to perform rich analyses that drive core operations within their organizations - these programs are relied upon for daily operations in the command centers and battlefronts of militaries across the world. This is a frontend engineering role focused on application development for our defense product offering, where you will be responsible for crafting the applications that organizations use every day to keep their countries safe. You will be architecting and developing interfaces to make sophisticated, data-intensive workflows both powerful and approachable, including to non-technical users. You may spend one day talking to users to better understand their needs and identifying product gaps to improve. The next day, you might find yourself putting that customer context to use and brainstorming how to handle intricate UX needs with your teammates. You’ll regularly face sophisticated technical problems, requiring you to scope out the solution design and finding an incremental path to shipping the new features. As part of this, you will own APIs and schemas that power your frontend code, and work with backend engineers in developing them together. You’ll be constantly exploring new horizons and building new skills in service of real world needs: between type theory, operational transforms, 2D and 3D mapping, UI design systems, high-scale graphics rendering, evidence-based performance optimization, and the never-ending need to decompose user asks into rich, sophisticated, and maintainable software, there is always a new challenge to be faced. Core Responsibilities As a frontend engineer working on our defense product offering, you will be involved throughout the product lifecycle - from idea generation, design, and prototyping to execution and shipping.Some examples of product work you could work on are: • Build for high-scale, collaborative, geospatial workflows (Gaia), • Design sophisticated frameworks to enable complex workflows across applications in a single workspace, • Develop the next generation of real-time collaborative tooling and data-analysis solutions (Secure Collaboration)Technologies We Use, • Typescript and React are central to our frontend development., • Blueprint as a re-usable frontend component library., • A combination of open-source and internal technologies that suit the problems at hand., • Industry-standard build tooling, including Gradle, Webpack, GitHub, and CircleCI.What We Value, • Passion for building user interfaces that enable users to tackle their problems., • Ability to work optimally in teams of technical and non-technical individuals, e.g. brainstorming and iterating with product designers, • Skill and comfort working in a constantly evolving environment with dynamic objectives and iteration with users., • Experience building high-quality software in a fast-paced CI/CD development environment, • Proven ability to learn continuously, work independently, and make decisions with minimal supervision., • Ability to learn new technology and concepts, even without in-depth experience. Motivated by unlocking or improving user workflows while still maintaining engineering quality.What We Require, • 2+ years of frontend software engineering experience., • Strong frontend coding skills. Regardless of which frameworks you use or how you learned them, we’re looking for people who can write clean, effective code. You should already have proficiency in JavaScript and an understanding of how web technologies work., • Bachelor’s degree in Computer Science or related field, or equivalent understanding of algorithms, performance, and systems design., • Strong written and verbal communication skills.

Job Description Better Help in Mountain View, CA is looking for one cloud engineer to join our team. We are located on 990 Villa St. Our ideal candidate is a self-starter, motivated, and reliable. We are looking for an experienced Cloud Engineer to work with our engineering team to develop, implement, optimize, and maintain cloud-based solutions. You will be responsible for deploying and debugging cloud stacks, educating teams on new cloud initiatives, and ensuring the security of the cloud infrastructure. To be successful as a cloud engineer, you should be able to identify the most optimal cloud-based solutions for our clients and maintain cloud infrastructures in accordance with best practices and company security policies. A top-notch cloud engineer should have excellent troubleshooting skills, stay current with industry trends, and should be a team player. Responsibilities: • Collaborating with engineering and development teams to evaluate and identify optimal cloud solutions., • Modifying and improving existing systems., • Educating teams on the implementation of new cloud technologies and initiatives., • Designing, developing and deploying modular cloud-based systems., • Developing and maintaining cloud solutions in accordance with best practices., • Ensuring efficient functioning of data storage and processing functions in accordance with company security policies and best practices in cloud security., • Identifying, analyzing, and resolving infrastructure vulnerabilities and application deployment issues., • Regularly reviewing existing systems and making recommendations for improvements., • Interacting with clients, providing cloud support, and making recommendations based on client needs. Requirements: • Degree in computer science or a similar field., • At least 3 years of experience in the field of cloud computing., • Experience with CI/CD systems., • Experience with SysOps., • Azure, AWS, and GCP certifications preferred., • Troubleshooting and analytical skills., • Good communication and collaboration skills., • Client management skills. Benefits: • Competitive hourly wage or salary., • Health, dental, and vision insurance., • Paid time off (PTO) and holidays., • 401(k) retirement plan with company match., • Opportunities for overtime and bonuses., • Uniforms and safety equipment provided., • Comprehensive training and career advancement opportunities. We are looking forward to hearing from you. By applying to this job, you agree to receive periodic text messages from this employer and Homebase about your pending job application. Opt out anytime. Msg & data rates may apply. Powered by Homebase. Free employee scheduling, time clock and hiring tools.

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role You will be responsible for leading day-to-day security threat management. You will help identify and manage potential incidents and work with partner teams on known or suspected security threats. You will support threat intelligence, threat hunting, intrusion detection, and incident response efforts that adhere to, and push forward, best practices. Responsibilities • Drive continual improvement in processes, procedures and automations to improve the quality and effectiveness of the team., • Participate in a 24/7 on-call rotation performing security incident response, • Commandeering security incidents and updating stakeholders., • Identify and develop new detection use cases and optimize existing detections., • Collaborate on technical directions and solutions with other teams., • Research and analyze patterns in security events across X's global infrastructure., • Identify, design, and lead threat hunting missions to quantify and reduce threats., • Manage and support the log collection, security scanning, intrusion detection, and other security-related systems., • Design and assist in the development of automation to reduce false positives and handle events automatically., • Analyze the security posture of systems via testing and vulnerability impact analysis.Required Qualifications, • 2+ years of relevant information security experience, • Self starter, can receive a task and execute with minimal supervision, • Strong Python scripting skills for implementing security automation, • Knowledge of networking and macOS, Windows or Linux operating systems., • Knowledge of cloud security fundamentals and practices (vendor agnostic)., • Experience managing and/or deploying security technology., • Experience with building queries and dashboards for security monitoring., • Knowledge of current threats and techniques and a desire to research and learn more., • Experience with malware analysis, forensics or penetration testing., • Problem solving skills or experience with troubleshooting.Preferred Qualifications, • Elastic / OpenSearch or similar platforms xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role The HR Information Systems (HRIS) Analyst configures, administers, and continuously optimizes our core HR systems. In this role, you will partner closely with HR, IT, Security, and business stakeholders to design, test, and implement high-impact solutions that remove friction, accelerate workflows, and enable our workforce to operate at peak speed and accuracy. Responsibilities • Configure, test, and maintain security roles, approval workflows, and business policies within the HRIS., • Perform regular system maintenance, including reviewing, testing, and deploying upgrades, patches, and new features., • Monitor HRIS integrations with other systems; quickly identify and resolve issues caused by configuration changes, new releases, or vendor updates., • Protect data quality and compliance by following Data Governance standards; regularly run audits and queries, analyze results, and recommend or implement fixes to keep information accurate and reliable., • Build and maintain reports, dashboards, and analytics; proactively partner with stakeholders to uncover meaningful metrics and insights that drive better decisions., • Continuously look for ways to streamline processes and get more value from the HRIS by identifying and implementing improvements and best-practice configurations., • Provide day-to-day production support: troubleshoot and resolve Help Desk tickets, unexpected system behavior, and user-reported issues., • Serve as the bridge between business and technical teams: gather requirements, translate business needs and change requests into clear technical specifications, and collaborate with developers, architects, and other IT teams on interface design, enhancements, and solution architecture.Required Qualifications, • Minimum 3-5 years of Workday or Rippling experience as an engineer, analyst or administrator responsible for configuration, documentation, testing, and implementation of applications and enhancements., • Experience implementing a large-scale system migration (e.g., implementing a new HRIS or ATS system), • Ability to manage tight deadlines, make decisions, learn quickly, and self-manage, • Strong interpersonal skills to interact with all levels and communicate effectively with both a technical audience and business users xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the role As a Site Reliability Storage Engineer, you will play a pivotal role in designing, building, and operating exascale storage systems to manage our cutting-edge AI research data with unparalleled scalability and reliability across multiple regions. This role's core responsibility is to make sure our heterogenous storage systems in on-prem + cloud are reliable and performant. We're seeking engineers with expertise in exascale data management systems or distributed filesystems to join our mission-driven team. What you'll do • Develop and optimize software to manage exascale data, enabling efficient and reliable access for xAI researchers working on advanced AI models., • Enhance the reliability, performance, and cost-effectiveness of xAI's storage infrastructure to support large-scale AI research workloads., • Collaborate closely with researchers to understand their data use cases and tailor storage solutions to meet their needs., • Writing scalable, high-performance code in Rust or Go for storage-related applications or tooling., • Managing storage infrastructure with IaC tools like Pulumi, Terraform, or Ansible., • Past experience working with storage vendors facilitating partnership alignment, and integrating their tooling within xAI's Infrastructure., • Familiarity with Kubernetes storage primitives (e.g., Persistent Volumes, CSI drivers) and integrating storage with containerized workloads., • Bonus: Experience with AI/ML data pipelines, including handling large datasets for training and inference.Tech Stack, • Kubernetes, • Pulumi, • Coding assessment in Python, Golang, or Rust, • Systems hands-on: Demonstrate practical skills in a live problem-solving session., • Coding assessment or system design discussion based on the candidate's background. We do not condone usage of AI in interviews and have tools to detect AI usage. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Job Description What's in it for you? • A people first culture where contributions and collaboration is encouraged and celebrated., • Competitive pay ranging from $29-$33 per hour., • Monthly company events to recognize hard work and celebrate company wins., • Ongoing wellness initiatives to improve your health and well being. The Junior Network Engineer works with Senior Level Engineers and the Information Services Manager on providing daily IT operation support to our users. Daily tasks include supporting and maintaining network infrastructure, resolving user reported questions and issues. Job Responsibilities: • Handles daily tier one support from end users and generate tickets., • Organizes daily support tickets and completes them in a timely manner., • Applies OS patches and upgrades on a regular basis., • Maintains operational, configuration, or other procedures., • Troubleshoots malfunctions of network hardware and software applications, telephones and security systems to resolve operational issues and restore services., • Complete assignments provided by Senior Engineer in a timely manner., • Follows procedure to maintain user accounts per request., • Performs daily routine checking on servers and services., • Performs on call role to provide 24/7 support to end users., • Knowledge Familiar with Microsoft Window AD environment or similar Directory Service., • Basic experience with command line (DOS and Unix-like shell), • Knowledge in TCP/IP, VPN, RDP, and other network protocols., • Knowledge in CISCO and FORTINET network equipment would be a plus., • Experience with end user support., • Ability to evaluate software package and plan for deployment., • Self-motivated and team oriented., • S. in Computer Science or related field preferred., • 0-3 years’ experience in related field.

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role We are seeking a highly skilled Senior Site Reliability Storage Engineer to join our mission-driven team, focusing on designing, building, and optimizing Kubernetes clusters across multiple regions. In this role, you will leverage your expertise in Kubernetes orchestration and distributed systems to enhance the reliability, performance, and cost-effectiveness of xAI's infrastructure. You will collaborate closely with engineering teams to deliver robust, scalable solutions that support large-scale AI workloads. The ideal candidate is passionate about automation, observability, and ensuring the integrity of critical systems in a fast-paced, innovative environment. Responsibilities • Develop and optimize software to provision and manage Kubernetes clusters on-premises, enabling xAI to scale efficiently., • Enhance the reliability, performance, and cost-effectiveness of Kubernetes infrastructure to support large-scale AI and application workloads., • Collaborate with xAI engineers to understand workload requirements and design tailored Kubernetes solutions to meet their needs., • Implement robust observability, monitoring, and security practices to ensure the integrity, availability, and confidentiality of critical systems., • Manage storage infrastructure using Infrastructure-as-Code (IaC) tools such as Pulumi, Terraform, or Ansible., • Drive system reliability through incident management, postmortems, and the definition of clear SLAs and SLOs., • Contribute to the Kubernetes stack, including expertise in CNI, CRI, CSI, and related components., • This is an in-person role based in Palo Alto, CA, with up to 25% travel required.Required Qualifications, • 5+ years of experience as a Site Reliability Engineer or similar role, with a focus on building and maintaining reliable, scalable systems., • Proven expertise in managing Kubernetes infrastructure using tools like Cluster API (CAPI) and kubeadm., • Proficiency in managing storage infrastructure with IaC tools such as Pulumi, Terraform, or Ansible., • Deep understanding of the Kubernetes stack, including CNI, CRI, CSI, and related components., • Demonstrated ability to improve system reliability through incident management, postmortems, and defining SLAs/SLOs.Preferred Qualifications, • Experience with high-traffic web or mobile application workloads, including optimizing Kubernetes for large-scale deployments., • Familiarity with chaos engineering, capacity planning, or similar practices for ensuring system resilience., • Proficiency with tools such as Kyverno, ArgoCD, or Go programming for infrastructure automation., • Strong sense of ownership, curiosity, and enthusiasm for tackling complex technical challenges., • Passion for problem-solving and a proactive drive to deliver impactful results. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Job DescriptionZyphra is an artificial intelligence company based in Palo Alto, California. The Role: As a Infrastructure Engineer - Site Reliability, you’ll be responsible for designing and maintaining the systems that keep Zyphra’s infrastructure robust, observable, secure, and scalable. Your work will be essential to ensuring the reliability and reproducibility of ML workloads, the safety and control of deployments, and the long-term maintainability of our compute environments. You’ll work across: * Building and improving observability systems (monitoring, logging, alerting) * Designing resilient build and deployment systems across research and production environments * Implementing secure release processes with strong auditability and rollback support * Collaborating closely with ML engineers, DevOps, and infra teams to improve system reliability and performance * Leading incident response, root-cause analysis, and postmortems with a focus on learning and prevention * This role is ideal for someone who loves building systems that make other teams faster, safer, and more productive Requirements: * Experience in high-performance compute environments, such as ML clusters or GPU farms * Background in infrastructure as code (e.g., Ansible, Terraform) * Familiarity with software release engineering with for ML/AI systems is a plus * Experience designing reliable environments for experimental workloads and reproducible runs * Knowledge of compliance and audit standards in deployment and system security * Experience with load testing, fault injection, and chaos engineering to harden systems under stress * Passion for building tooling that makes infrastructure invisible and reliable for end users Bonus Qualifications: * Experience with infrastructure as code (e.g., Ansible, Terraform) * Prior work supporting ML/AI infrastructure, including GPU management and workload optimization * Exposure to backend development for ML model serving (e.g., vLLM, Ray, SGLang) * Experience working with cloud platforms such as AWS, Azure, or GCP * Familiarity with containers (Docker, Apptainer) and their integration with scheduling systems (Slurm, Kubernetes) Why Work at Zyphra: * Our research methodology is to make grounded, methodical steps toward ambitious goals. Both deep research and engineering excellence are equally valued * We strongly value new and crazy ideas and are very willing to bet big on new ideas * We move as quickly as we can; we aim to minimize the bar to impact as low as possible * We all enjoy what we do and love discussing AI Benefits and Perks: * Comprehensive medical, dental, vision, and FSA plans * Competitive compensation and 401(k) * Relocation and immigration support on a case-by-case basis * On-site meals prepared by a dedicated culinary team; Thursday Happy Hours * In-person team in Palo Alto, CA, with a collaborative, high-energy environment If you are excited to bring reliability best practices to the frontier of AI infrastructure, this job is for you. Apply Today!

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