Network engineer jobs in Union City, CA - 2,298 jobs

Consultant Network & Security page is loaded## Consultant Network & Securityremote type: Hybrid or Remotelocations: Contern\_EXCtime type: Full timeposted on: Posted 30+ Days Agojob requisition id: R0287400Les entreprises et les gouvernements comptent sur Thales pour apporter de la confiance aux milliards d'interactions numériques qu'ils établissent avec les utilisateurs. L'Activité Mondiale Identité & Sécurité Numériques (DIS) fournit des technologies et services (des logiciels sécurisés en passant par la biométrie ou encore le cryptage), qui permettent aux entreprises ainsi qu'aux gouvernements de vérifier des identités, et de protéger les données afin qu'elles restent sûres.**Tasks and responsibilities*** Act as the dedicated technical advisor towards the customer in the limit of the scope of skills of the consultant* Gather technical needs from customer and propose the most adapted solutions to customer* Define architecture and participate to conception of technical solutions* Realize advisory and expertize missions* Support Account Managers during the presales phase of writing offers to customers such as “Proof of Concept” realization, writing Statements of Work, technical solutions presentations, preparation of technical aspects for all call for tenders* Implement and support operational teams during rollout phases* Manage and ensure engagement on deliverables in due time in the limit of the scope of skills of the consultant* Maintain updated general skills on network security (best practices, protocols, security fundamentals, risks identification, methodology etc.)* Technical skills to maintain updated (certifications / self-training / trainings to follow) further to the Personal targets defined* Skills, tailor made trainings and knowledge transfer towards customers* Skills, tailor made trainings and knowledge transfer towards team mates (to ensure coverage in case of absence)* Coaching junior consultants in order to make them grow up in terms of soft and technical skills* Coaching trainees (manage and follow up of the whole internship of the trainees)* Creativity in problem solving on a constant basis in day to day tasks and in exceptional tasks (such as incidents) in the limit of the scope of skills of the consultant* Detect and evaluate level of importance of any crisis situation* Escalate any crisis situation (previously detected and evaluated by the junior consultant himself) to confirmed and senior peers when necessary* Reporting and documentation (French and English)* Act the role of Back-Up for 1rst/2nd line support Engineer* Act the role of 3rd line for the SOD in the limit of the scope of skills of the consultant**Prerequisite**Expertise in one or more of the following areas:* Firewalls,* Web and Database Application firewalls,* Protection systems against unknown threats (Sandboxing* Messaging Security,* Strong authentication and SAML identity federation, OpenID Connect, …* Encryption (IPSEC VPN, data encryption, …),* Hardware Security Module (HSM),* More specifically, you are familiar with the technologies of the following manufacturers,* Firewalls: Checkpoint, Palo Alto Networks, Fortinet,* Web Proxy: Bluecoat ProxySG, McAfee Web Gateway R,* Load Balancing / WAFF: F5, Netscaler, DenyAll, Imperva,* Email Security: Cisco, TrendMicro, Trustwave,* Strong authentication: RSA, Gemalto, RCDevs,* HSM: Gemalto, Thales,* Sandboxing: BlueCoat MAA, TrendMicro,* Identity Federation: Microsoft ADFS, auth0, okta.**Security*** In-depth knowledge of IT security practices, including identity and access management, vulnerability management, network and operating system security, and application security* Competence in cryptography and data security* Knowledge of information security standards and regulations* Experience in detecting and responding to information security incidents, including compliance management and conducting information security audits**Back-up**Other Senior consultants / Practice Leader/ Team LeaderThales, entreprise Handi-Engagée, reconnait tous les talents. La diversité est notre meilleur atout. Postulez et rejoignez nous !remote type: Hybrid or Remotelocations: Contern\_EXCtime type: Full timeposted on: Posted 30+ Days Ago #J-18808-Ljbffr

About Us: Ambience Healthcare is the leading AI platform for documentation, coding, and clinical workflow, built to reduce administrative burden and protect revenue integrity at the point of care. Trusted by top health systems across North America, Ambience's platform is live across outpatient, emergency, and inpatient settings, supporting more than 100 specialties with real-time, coding‑aware documentation. The platform integrates directly with Epic, Oracle Cerner, athenahealth, and other major EHRs. Founded in 2020 by Mike Ng and Nikhil Buduma, Ambience is headquartered in San Francisco and backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, Kleiner Perkins, and other leading investors. Join us in the endeavor of accelerating the path to safe & useful clinical super intelligence by becoming part of our community of problem solvers, technologists, clinicians, and innovators. The Role: We're looking for a Machine Learning Infrastructure Engineer to join our AI Platform team. This is a high-leverage role focused on building and scaling the core infrastructure that powers every AI system at Ambience. You'll work closely with our ML, data, and product teams to develop the foundational tools, systems, and workflows that support rapid iteration, robust evaluation, and production reliability for our LLM‑based products. Our engineering roles are hybrid - working onsite at our San Francisco office three days per week. What You'll Do: You have 5+ years of experience as a software engineer, infrastructure engineer, or ML platform engineer You've worked directly on systems that support ML research or production workloads - whether training pipelines, evaluation systems, or deployment frameworks You write high-quality code (we primarily use Python) and have strong engineering and systems design instincts You're excited to work closely with ML researchers and product engineers to unblock them with better infrastructure You're pragmatic and care deeply about making tools that are reliable, scalable, and easy to use You thrive in fast-paced, collaborative environments and are eager to take ownership of ambiguous problems Who You Are: Design, build, and maintain the infrastructure powering ML model training, batch inference, and evaluation workflows Improve internal tools and developer experience for ML experimentation and observability Partner with ML engineers to optimize model deployment and monitoring across clinical workloads Define standards for model versioning, performance tracking, and rollout processes Collaborate across the engineering team to build reusable abstractions that accelerate AI product development Drive performance, cost efficiency, and reliability improvements across our AI infrastructure stack Pay Transparency We offer a base compensation range of approximately $200,000-300,000 per year, with the addition of significant equity. This intentionally broad range provides flexibility for candidates to tailor their cash and equity mix based on individual preferences. Our compensation philosophy prioritizes meaningful equity grants, enabling team members to share directly in the impact they help create. If your expectations fall outside of this range, we still encourage you to apply-our approach to compensation considers a range of factors to ensure alignment with each candidate's unique needs and preferences. Being at Ambience: An opportunity to work with cutting edge AI technology, on a product that dramatically improves the quality of life for healthcare providers and the quality of care they can provide to their patients Dedicated budget for personal development, including access to world class mentors, advisors, and an in‑house executive coach Work alongside a world‑class, diverse team that is deeply mission aligned Ownership over your success and the ability to significantly impact the growth of our company Competitive salary and equity compensation with benefits including health, dental, and vision coverage, quarterly retreats, unlimited PTO, and a 401(k) plan Ambience is committed to supporting every candidate's ability to fully participate in our hiring process. If you need any accommodations during your application or interviews, please reach out to our Recruiting team at accommodations@ambiencehealth.com. We'll handle your request confidentially and work with you to ensure an accessible and equitable experience for all candidates. #J-18808-Ljbffr

A financial services company in Palo Alto is seeking a Manager of Network Engineering to lead the network engineering and architecture functions, ensuring secure and efficient connectivity across multiple environments. The ideal candidate has extensive experience in Microsoft Azure networking, effective leadership skills, and a strong focus on modernization and resilience in a fast-paced setting. The role involves managing a technical team and driving automation initiatives. #J-18808-Ljbffr

A leading AI cloud infrastructure company in San Francisco is seeking a Site Reliability Engineer to help scale their high performance multi-tenant cloud network. The role requires 5+ years of experience in network or site reliability engineering, proficiency in building and maintaining Software Defined Networks, and experience with multi-data center networks. The ideal candidate will work in a hybrid model, attending the office 4 days a week. Competitive compensation and benefits are offered. #J-18808-Ljbffr

At M2SC, we are looking for a senior‑level network engineer to provide support for secure, mission‑critical environments within the Department of Defense (DoD). As a Senior Network Engineer, you will serve as the technical lead responsible for the planning, implementation, and maintenance of our enterprise LAN, MAN, and WAN transport infrastructure. Your work will ensure compliance with DoD cybersecurity and performance standards. We are seeking candidates with expert‑level knowledge in secure network architecture, real‑time troubleshooting, enterprise infrastructure modernization, and lifecycle support for both classified and unclassified network systems. Clearance Type TS/SCI Eligible Job Description Design, implement, and manage complex, secure enterprise network architectures (LAN/WAN/BAN) in compliance with DoD and federal standards. Configure and deploy Layer 2/3 network devices, including routers, switches, and firewalls (Cisco, Juniper, Palo Alto, etc.). Implement routing protocols (OSPF, BGP, EIGRP) and ensure redundancy and high availability. Apply cybersecurity best practices by integrating Security Technical Implementation Guides (STIGs), encryption technologies (IPSec, SSL, TACLANE), and zero‑trust principles into network configurations. Perform routine and emergency troubleshooting, diagnostics, and maintenance of enterprise and tactical network infrastructures to ensure minimal downtime and optimal performance. Manage and maintain firewalls and VPNs; configure access control lists (ACLs), threat prevention settings, and Next‑Gen Firewall features. Maintain network diagrams, configuration documentation, and inventory records. Ensure systems comply with DISA, NIST, and NSA standards, including audits and ATO processes. Provide technical guidance to junior engineers and serve as SME for mission‑critical networking issues. Collaborate with cybersecurity, systems, and application teams. Support the integration of cloud‑based networks (e.g., AWS GovCloud, Azure Government) and Cross‑Domain Solutions (CDS) within hybrid environments. Lead network incident response and remediation efforts. Participate in configuration control boards (CCBs) and implement changes in accordance with ITIL or DoD change management procedures. Support contingency operations, exercises, and on‑call rotations to maintain network continuity for mission‑critical DoD services. Minimum Qualifications U.S. Citizenship and active Top Secret clearance required. Bachelor's degree in IT, Cybersecurity, Networking, or a related technical field. Current CCNA (Cisco Certified Network Associate) required at time of hire. Must obtain CCNP (Enterprise or Security) within 6 months of contract start. 4+ years in enterprise IT network engineering in DoD classified environments. 2+ years in Layer‑3 routing/switching, VLANs, IPSEC/SSL, firewalls, and TACLANE. 1+ year working with Next Generation Firewalls and DoD security protocols. Familiarity with STIGs and NSA CSfC Capability Packages. Desired Qualifications Experience with DISA Trusted Network Environment (TNE) and Cross Domain Solutions (CDS). Exposure to Mobile Access and Multi‑Site Connectivity Capability Packages. Strong written and verbal communication skills. Availability to support 24/7 operations and participate in Command Post exercises. Demonstrated teamwork, attention to detail, and mission focus in secure settings. To Apply Submit your resume and clearance status to *******************************. Candidates must be U.S. citizens and hold an active or be eligible to obtain a Top Secret clearance at the time of application. #J-18808-Ljbffr

Meet the Team You will provide guidance and assist Security Sellers and Account teams within the territory in a pre‑sales technical role, showcasing Cisco security product solutions, setting up demonstrations, explaining features and benefits to customers, and designing and configuring products to address specific customer security needs. You will form relationships with our customer's key decision-makers, positioning Cisco security solutions aligned accurately to their requirements. You will be a part of an outstanding technical pre‑sales team in our Global Security Sales Organization (GSSO), responsible for driving the success of Cisco's Security Portfolio and focusing on protecting Customer Application Environments no matter where they live (on‑prem / any cloud). Our mission is simple: democratize security by making it easy and effective for everyone. We're transforming security from the ground up by solving the world's most pressing geopolitical challenge - safe, secure information access. We engineer our business to enable our customers to easily address their ever‑evolving security challenges. We believe that impactful work is rewarding work and that our team is at its best when everyone feels empowered to bring their whole self to work. We learn together by hiring for cultural contribution, not cultural fit, and recognize that diversity in background and thought are essential to building high‑impact teams. We invest in growth and learning opportunities and encourage our people to never stop learning. We foster collaboration and believe in being recognized (and rewarded!) for hard work. We champion a healthy work‑life balance. We're kinder than necessary. Together we build for the future by designing simple solutions for complex problems. And that's why we're the most loved and trusted name in security. Your Impact As an advisor to the customer, you'll be working with technology experts to craft architectures and configure products to meet customer‑specific needs, are prepared to lead all technical aspects of pre‑sales activities, and position security solutions effectively against competing offerings. You are an aggressive starter, self‑starter with the ability to build executive relationships, develop and execute sales strategies and tactics that improve Cisco's opportunity with a customer environment, position and promote the partner and customer value proposition for Cisco security architecture, articulate Cisco's product and business strategies, and create the demand that makes deals happen! You will: Serve as the subject matter expert in Cisco security solutions Provide guidance and assist account teams within the territory in building solutions to address specific customer security needs Understand business requirements for a customer base and be able to translate them into technical requirements Understand and articulate Cisco's architecture and services within security technologies Create, present, and document technical solutions Perform in-depth and high‑level technical presentations for customers partners and prospects Drive identified major account opportunities (i.e. technical consulting, upper‑level management presentations, and Cisco technology solutions) while allowing local account teams to maintain long‑term ownership Who You Are You are passionate about the customer experience and excited about new technology. You are a true teammate and love to learn. Being a self‑starter, our SEs act as an industry domain authority, and strive to help Cisco make customers for life. Minimum Qualifications Minimum of 4 years of pre‑sales tech experience. Hands on experience with one or more of these Cisco Security Products (or their competitive equivalent): ******************************************************************** Preferred Qualifications History of successful quota achievement. Ability to demo / POV any of these Cisco Security products (the more the better): ******************************************************************** Knowledge of public clouds AWS, Azure, GCP, and OCI. Experience with incident response a plus Experience with administering security for a company (e.g. purchased and deployed Cisco security products as a customer) is a plus. Solid presentation and interpersonal skills. Experience with whiteboard discussions that transform customer requirements into security solutions Highly motivated self‑starter who does not need day‑to‑day management Experience with APIs and scripting languages is a nice to have but not required. Why Cisco? 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. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $200,000.00 to $252,000.00 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 of unused sick time carried forward from one calendar year to 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: $200,000.00 - $289,800.00 Non‑Metro New York state & Washington state: $192,000.00 - $278,200.00 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. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records. #J-18808-Ljbffr

Principal Enterprise IT Engineer, IT & Security About 1X We're an AI and robotics company based in Palo Alto, California, on a mission to build a truly abundant society through general-purpose robots capable of performing any kind of work autonomously. We believe that to truly understand the world and grow in intelligence, humanoid robots must live and learn alongside us. That's why we're focused on developing friendly home robots designed to integrate seamlessly into everyday life. We're looking for curious, driven, and passionate people who want to help shape the future of robotics and AI. If this mission excites you, we'd be thrilled to hear from you and explore how you might contribute to our journey. Role Overview The Principal Enterprise IT Engineer will lead the strategy, architecture, and implementation of enterprise IT systems across the company. This role will define standards for identity, endpoint management, collaboration, and security while scaling IT infrastructure to support rapid organizational growth. You'll play a key leadership role, mentoring senior engineers and influencing cross-functional and executive stakeholders to align IT operations with strategic business needs. Responsibilities Define and drive enterprise IT strategy, architecture, and roadmaps across identity, collaboration, and device platforms Lead administration and scaling of Google Workspace, Okta, Intune, and MDM platforms with a focus on Zero Trust principles Develop and implement automation frameworks and scripting (Bash, Python, PowerShell) to streamline IT operations Align IT systems with compliance standards (e.g., SOC2, ISO 27001) and proactively mitigate enterprise risks Ensure seamless integration of IT systems with engineering, manufacturing, and robotics environments Act as senior escalation point for IT operations, mentoring IT engineers and building a high-performance function Influence executive and cross-functional stakeholders to ensure IT strategy supports business growth Requirements Expert-level knowledge of Google Workspace, Okta, Microsoft Intune, and MDM platforms across multiple OS (mac OS, Windows, iOS, Android) Strong scripting and automation skills (Bash, Python, PowerShell); experience implementing Zero Trust security Proven experience scaling IT systems globally in high-growth, cloud-first or hybrid environments Ability to lead IT architecture initiatives and partner with executive and security leadership Experience mentoring senior IT engineers and leading high-performance teams Preferred: Familiarity with Terraform, Ansible, and IT support for robotics or engineering-heavy environments Preferred: Certifications such as CISSP, Okta Certified Architect, Google Workspace Admin, or Microsoft Enterprise Mobility Benefits & Compensation Salary Range: $180,000 - $235,000 Health, dental, and vision insurance 401(k) with company match Paid time off and holidays Equal Opportunity Employer 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law. #J-18808-Ljbffr

Ready to play a key role in building the future of living? Join Samara in tackling California's housing shortage and enabling people to attain sustainable housing without compromising design or quality. Our flagship product, Backyard, is a fully turnkey, premium accessory dwelling unit (ADU) designed for homeowners and real estate developers. As we expand our offerings and scale our in-house development initiatives, we're at a pivotal moment, redefining homeownership through high-quality, attainable infill housing. Backed by top-tier investors, including Airbnb, Thrive Capital, and 8VC, Samara is positioned for significant growth and market impact. To support our next phase of growth, we're hiring product-focused engineers to advance and scale the technical foundation of our modular system. These roles go beyond traditional design work-they refine system standards, improve factory repeatability, and ensure our units are code-compliant, manufacturable, and built to the highest standards of quality and performance. The MEP Systems Engineer will be responsible for the detailed design and implementation of mechanical, electrical, plumbing, and PV systems tailored for modular construction building systems. This role requires a deep understanding of MEP systems combined with practical experience in modular construction. You will collaborate closely with leadership, crossfunctional design and engineering teams to integrate all technical and user experience requirements into our designs to ensure optimal functionality, sustainability, and compliance with all regulations. What You'll Do Design and develop integrated MEP systems for our new and existing designs including solar energy systems, including PV and ESS, optimized for prefabricated modular construction Ensure that solar and energy storage designs align with overall MEP system functionality and building energy requirements Lead the creation of comprehensive design documents, schematics, component material selections and system layouts, preferably using CAD and BIM software Provide technical leadership during the installation and commissioning phases to ensure systems meet design specifications and performance standards Conduct system testing and validation to ensure functionality, efficiency, and safety of both MEP and PV installations Collaborate closely with installation teams to facilitate seamless and efficient factory and onsite implementation of design Engage in research and application of the latest technologies and practices in renewable energy and modular construction Work with program managers and other engineering disciplines to ensure holistic integration of all systems within Samara modular units What We're Looking For Modular construction experience in factory builds, multi-mod, stackable and/or other hands on related experience. Licensed Electrician or Mechanical Contractor -and/or- Bachelor's degree in Mechanical, Electrical, or Energy Systems Engineering, or a related field Professional Engineering (PE) license preferred Minimum of 7 years of experience in one of the following: Mechanical, Electrical, Solar and/or Plumbing System design Comprehensive knowledge of building codes, safety regulations, and sustainability practices relevant to MEP and renewable energy systems Proficiency in design software such as Onshape, Revit, and/or other BIM methodologies preferred Excellent problem-solving skills and the ability to adapt designs to changing technological and regulatory landscapes Strong communication and leadership skills, capable of driving project decisions and managing complex stakeholder relationships Ability to travel to our factory in Mexico up to 25-40%. What We Offer Salary range of $120-160K and performance-based bonuses. Hybrid work schedule with 3 days each week in our Redwood City office. Snacks and Lunch on in-office days Early stage employee equity. Exceptional health, dental, and vision insurance. 401k eligibility after 6 months. Flexible PTO policy. How to Apply If you're excited to support Samara's mission and have the skills to match, we'd love to hear from you. Please submit your resume and a brief letter of introduction to our team. Let's build something extraordinary-together.

A leading research lab in Sunnyvale is seeking a distributed ML infrastructure engineer to extend and scale training systems. The ideal candidate must have over 5 years of experience in ML systems with strong expertise in distributed training frameworks like DeepSpeed and FSDP. This role offers a competitive salary ranging from $150,000 to $450,000 annually along with comprehensive benefits and amenities. #J-18808-Ljbffr

A pioneering AI startup in San Francisco is looking for an experienced individual to build infrastructure for deploying personalized AI models. The role demands a strong understanding of machine learning technology and a passion for enabling user-controlled AI solutions. Ideal candidates will thrive in fast-paced environments and contribute to impactful AI development. The company offers competitive compensation, equity, and a significant role in shaping the future of AI. #J-18808-Ljbffr

David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Engineering team At David AI, our engineers build the pipelines, platforms, and models that transform raw audio into high-signal data for leading AI labs and enterprises. We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world's first audio data research company. We move fast, own our work end-to-end, and ship to production daily. Our team designs real-time pipelines handling terabytes of speech data and deploys cutting-edge generative audio models. About this role As our Founding Machine Learning Infrastructure Engineer at David AI, you will build and scale the core infrastructure that powers our cutting-edge audio ML products. You'll be leading the development of the systems that enable our researchers and engineers to train, deploy, and evaluate machine learning models efficiently. In this role, you will Design and maintain data pipelines for processing massive audio datasets, ensuring terabytes of data are managed, versioned, and fed into model training efficiently. Develop frameworks for training audio models on compute clusters, managing cloud resources, optimizing GPU utilization, and improving experiment reproducibility. Create robust infrastructure for deploying ML models to production, including APIs, microservices, model serving frameworks, and real-time performance monitoring. Apply software engineering best practices with monitoring, logging, and alerting to guarantee high availability and fault‑tolerant production workloads. Translate research prototypes into production pipelines, working with ML engineers and data teams to support efficient data labeling and preparation. and optimization techniques to enhance infrastructure velocity and reliability. Your background looks like 5+ years of backend engineering with 2+ years ML infrastructure experience. Hands‑on experience scaling cloud infrastructure and large‑scale data processing pipelines for ML model training and evaluation. Proficient with Docker, Kubernetes, and CI/CD pipelines. Proven ML model deployment and lifecycle management in production. Strong system design skills optimizing for scale and performance. Proficient in Python with deep Kubernetes experience. Bonus points if you have Experience with feature stores, experiment tracking (MLflow, Weights and Biases), or custom CI/CD pipelines. Familiarity with large‑scale data ingestion and streaming systems (Spark, Kafka, Airflow). Proven ability to thrive in fast‑moving startup environments. Some technologies we work with Next.js, TypeScript, TailwindCSS, Node.js, tRPC, PostgreSQL, AWS, Trigger.dev, WebRTC, FFmpeg. Benefits Unlimited PTO. Top‑notch health, dental, and vision coverage with 100% coverage for most plans. FSA & HSA access. 401k access. Meals 2x daily through DoorDash + snacks and beverages available at the office. Unlimited company‑sponsored Barry's classes. #J-18808-Ljbffr

This is a job that we are recruiting for on behalf of one of our customers. To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He'll make sure you are considered for this role, and help you find others if you ask. Machine Learning Infrastructure Engineer Company Description: Early-stage private AI platform Job Description: Build the core infrastructure to serve thousands, then millions, of private, personalized AI models at scale. This role involves optimizing model serving performance for low latency and cost, and integrating a TEE-based privacy stack to ensure user data and models are exclusively accessible by the user, not even the company. Drive the foundational systems for a new era of personal AI. Location: San Francisco, USA Why this role is remarkable: Pioneer the infrastructure for truly private, personal AI models, ensuring user data remains confidential. Join an early-stage, well-funded startup backed by top-tier VCs and leading AI experts. Make a massive impact on the future of AI, helping to keep humans empowered in a post-AGI world. What you will do: Build infrastructure for deploying thousands to millions of personalized finetuned models. Monitor and optimize in-the-wild model serving performance for low latency and cost. Integrate with a TEE-based privacy stack to guarantee user data and model confidentiality. The ideal candidate: Deep understanding of the machine learning stack, including transformer optimization and GPU performance. Ability to execute quickly in a fast-paced, early-stage startup environment. A missionary mentality, passionate about ensuring AI works for people. How to Apply: To apply for this job speak to Jack, our AI recruiter. Step 1. Visit our website Step 2. Click 'Speak with Jack' Step 3. Login with your LinkedIn profile Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions Step 5. If the hiring manager would like to meet you, Jack will make the introduction #J-18808-Ljbffr

A fast-growing tech company based in San Francisco seeks an experienced IT Engineer for contract work. You will manage IT operations, leading employee onboarding and troubleshooting. Candidates should have 3-5 years of experience in IT roles, with skills in Google Workspace and troubleshooting. The position requires reliable execution and communication skills. You will work in the office three days a week, participating in an innovative tech culture that values diversity and collaboration. #J-18808-Ljbffr

A cybersecurity leader is seeking a Senior Backend Software Engineer to drive the Azure Firewall Management Program. This hybrid role in Sunnyvale requires expertise in Go/Golang, cloud experience in Azure or AWS, and strong networking skills. You will integrate security frameworks and contribute to customer-facing products within a dynamic and innovative team. Join us to help secure the digital world against unprecedented cybersecurity threats. #J-18808-Ljbffr

Who We Are At RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system-a platform designed for learning, reasoning, and prediction. We are a remote-first, globally distributed team with colleagues across six continents. From day one, we've embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn't follow a 9-to-5. We are committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of every team member and believe in fostering a culture of respect, curiosity, and innovation. We support each other's growth and success-and take the well‑being of our colleagues seriously. We encourage everyone to find a healthy balance that affords them a productive, happy life, wherever they choose to live. We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable. Machine Learning Systems Engineer Location: Remote (San Francisco Bay Area / North America / South America) Experience Level: 3+ years of experience in machine learning engineering or research About ScalarLM This role will involve heavily working with the ScalarLM framework and team. ScalarLM unifies vLLM, Megatron-LM, and HuggingFace for fast LLM training, inference, and self‑improving agents-all via an OpenAI‑compatible interface. ScalarLM builds on top of the vLLM inference engine, the Megatron‑LM training framework, and the HuggingFace model hub. It unifies the capabilities of these tools into a single platform, enabling users to easily perform LLM inference and training, and build higher‑lever applications such as Agents with a twist - they can teach themselves new abilities via back propagation. ScalarLM is inspired by the work of Seymour Roger Cray (September 28, 1925 - October 5, 1996), an American electrical engineer and supercomputer architect who designed a series of computers that were the fastest in the world for decades, and founded Cray Research, which built many of these machines. Called "the father of supercomputing", Cray has been credited with creating the supercomputer industry. It is a fully open source project (CC‑0 Licensed) focused on democratizing access to cutting‑edge LLM infrastructure that combines training and inference in a unified platform, enabling the development of self‑improving AI agents similar to DeepSeek R1. ScalarLM is supported and maintained by TensorWave in addition to RelationalAI. The Role As a Machine Learning Engineer, you will contribute directly to our machine learning infrastructure, to the ScalarLM open source codebase, and build large‑scale language model applications on top of it. You'll operate at the intersection of high-performance computing, distributed systems, and cutting‑edge machine learning research, developing the fundamental infrastructure that enables researchers and organizations worldwide to train and deploy large language models at scale. This is an opportunity to take on technically demanding projects, contribute to foundational systems, and help shape the next generation of intelligent computing. You Will Contribute code and performance improvements to the open source project. Develop and optimize distributed training algorithms for large language models. Implement high‑performance inference engines and optimization techniques. Work on integration between vLLM, Megatron‑LM, and HuggingFace ecosystems. Build tools for seamless model training, fine‑tuning, and deployment. Optimize performance of advanced GPU architectures. Collaborate with the open source community on feature development and bug fixes. Research and implement new techniques for self‑improving AI agents. Who You Are Technical Skills Programming Languages: Proficiency in both C/C++ and Python High Performance Computing: Deep understanding of HPC concepts, including: MPI (Message Passing Interface) programming and optimization Bulk Synchronous Parallel (BSP) computing models Multi‑GPU and multi‑node distributed computing CUDA/ROCm programming experience preferred Machine Learning Foundations: Solid understanding of gradient descent and backpropagation algorithms Experience with transformer architectures and the ability to explain their mechanics Knowledge of deep learning training and its applications Understanding of distributed training techniques (data parallelism, model parallelism, pipeline parallelism, large batch training, optimization) Research and Development Publications: Experience with machine learning research and publications preferred Research Skills: Ability to read, understand, and implement techniques from recent ML research papers Open Source: Demonstrated commitment to open source development and community collaboration Experience 3+ years of experience in machine learning engineering or research. Experience with large-scale distributed training frameworks (Megatron‑LM, DeepSpeed, FairScale, etc.). Familiarity with inference optimization frameworks (vLLM, TensorRT, etc.). Experience with containerization (Docker, Kubernetes) and cluster management. Background in systems programming and performance optimization. Bonus points if: PhD or MS in Computer Science, Computer Engineering, Machine Learning, or related field. Experience with SLURM, Kubernetes, or other cluster orchestration systems. Knowledge of mixed precision training, data parallel training, and scaling laws. Experience with transformer architecture, pytorch, decoding algorithms. Familiarity with high performance GPU programming ecosystem. Previous contributions to major open source ML projects. Experience with MLOps and model deployment at scale. Understanding of modern attention mechanisms (multi‑head attention, grouped query attention, etc.). Why RelationalAI RelationalAI is committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of our team. We are driven by curiosity, value innovation, and help each other to succeed and to grow. We take the well‑being of our colleagues seriously, and offer flexible working hours so each individual can find a healthy balance that affords them a productive, happy life wherever they choose to live. 🌎 Global Benefits at RelationalAI At RelationalAI, we believe that people do their best work when they feel supported, empowered, and balanced. Our benefits prioritize well‑being, flexibility, and growth, ensuring you have the resources to thrive both professionally and personally. We are all owners in the company and reward you with a competitive salary and equity. Work from anywhere in the world. Comprehensive benefits coverage, including global mental health support Open PTO - Take the time you need, when you need it. Company Holidays, Your Regional Holidays, and RAI Holidays-where we take one Monday off each month, followed by a week without recurring meetings, giving you the time and space to recharge. Paid parental leave - Supporting new parents as they grow their families. We invest in your learning & development Regular team offsites and global events - Building strong connections while working remotely through team offsites and global events that bring everyone together. A culture of transparency & knowledge‑sharing - Open communication through team standups, fireside chats, and open meetings. Country Hiring Guidelines RelationalAI hires around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements. Because of this, understanding location & visa support helps us better prepare to onboard our colleagues. Our People Operations team can help answer any questions about location after starting the recruitment process. Privacy Policy EU residents applying for positions at RelationalAI can see our Privacy Policy here. California residents applying for positions at RelationalAI can see our Privacy Policy here. Equal Opportunity RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. #J-18808-Ljbffr

A technology company in Sunnyvale is seeking a Staff Hardware Systems Engineer to lead the development of system firmware and kernel-level software for high-performance server platforms. The ideal candidate has over 8 years of experience in hardware systems development and strong expertise in BIOS and firmware engineering. You will directly influence the company's future by enhancing hardware compatibility and performance. Competitive compensation and benefits are provided, including stock options. #J-18808-Ljbffr

About the Institute of Foundation Models We 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're looking for a distributed ML infrastructure engineer to help extend and scale our training systems. You'll work side‑by‑side with world‑class researchers and engineers to: Extend distributed training frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod) Implement distributed optimizers from mathematical specs Build robust config + launch systems across multi‑node, multi‑GPU clusters Own experiment tracking, metrics logging, and job monitoring for external visibility Improve training system reliability, maintainability, and performance While much of the work will support large‑scale pre‑training, pre‑training experience is not required. Strong infrastructure and systems experience is what we value most. Key Responsibilities Distributed Framework Ownership - Extend or modify training frameworks (e.g., DeepSpeed, FSDP) to support new use cases and architectures. Optimizer Implementation - Translate mathematical optimizer specs into distributed implementations. Launch Config & Debugging - Create and debug multi‑node launch scripts with flexible batch sizes, parallelism strategies, and hardware targets. Metrics & Monitoring - Build systems for experiment tracking, job monitoring, and logging usable by collaborators and researchers. Infra Engineering - Write production‑quality code and tests for ML infra in PyTorch or JAX; ensure reliability and maintainability at scale. Qualifications Must-Haves: 5+ years of experience in ML systems, infra, or distributed training Experience modifying distributed ML frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod) Strong software engineering fundamentals (Python, systems design, testing) Proven multi‑node experience (e.g., Slurm, Kubernetes, Ray) and debugging skills (e.g., NCCL/GLOO) Ability to implement algorithms across GPUs/nodes based on mathematical specs Experience working on an ML platform/ infrastructure, and/or distributed inference optimization team Experience with large‑scale machine learning workloads (strong ML fundamentals) Nice-to-Haves: Exposure to mixed‑precision training (e.g., bf16, fp8) with accuracy validation Familiarity with performance profiling, kernel fusion, or memory optimization Open‑source contributions or published research (MLSys, ICML, NeurIPS) CUDA or Triton kernel experience Experience with large‑scale pre‑training Experience building custom training pipelines at scale and modifying them for custom needs Deep familiarity with training infrastructure and performance tuning $150,000 - $450,000 a year Benefits Comprehensive medical, dental, and vision 401(k) program Generous PTO, sick leave, and holidays Paid parental leave and family‑friendly benefits On‑site amenities and perks: Complimentary lunch, gym access, and a short walk to the Sunnyvale Caltrain station #J-18808-Ljbffr

Build the infrastructure to serve personal AI models privately and at scale. We're building the first truly private, personal AI - one that learns your skills, judgment, and preferences without big tech ever seeing your data. Our core ML systems challenge: how do we serve the world's best personal model, at low cost and high speed, with bulletproof privacy? What you'll do Build the infrastructure that lets us create & deploy thousands and eventually millions of personalized finetuned models for our customers Monitor & optimize in-the-wild model serving performance to hit low latency & cost Interface with the TEE-based privacy stack that lets us guarantee user data & models can only be seen & used by the user-not even us-and integrate the privacy architecture with the finetuning & inference code You have A deep understanding of the machine learning stack. You can dive into the details of how transformers work & performance optimization techniques for them. You have a mental model of GPUs sufficient to reason about performance from first principles. You can drill down from ML code to metal. Ability to execute quickly. We ship fast and fail fast so we can win faster. The challenge of human relevance in a post-AGI world isn't going to solve itself. A missionary mentality. We're a mission-driven company, looking for mission-first people. If you're passionate about ensuring AI works for people (and not the other way around), you've come to the right place. Ready to roll up your sleeves. We're an early stage startup, so we're looking for someone who can wear many hats. Experience you may have Work at a fast-paced AI startup, or top AI lab Experience deploying ML systems at scale. You might have worked with frameworks like vLLM, S-LoRA, Punica, or LoRAX. Experience with privacy-first infrastructure. You're familiar with confidential computing & ability to reason about both technical and real-world confidentiality and security. You may have worked with secure enclaves, TEEs, code measurement & remote attestation, Nvidia Confidential Computing, Intel TDX or AMD SEV-SNP, or related confidential computing technologies. We encourage speculative applications; we expect many strong candidates will have different experience or unconventional backgrounds. What we offer Generous compensation and early stage equity. We're competitive with the top startups, because we believe the best talent deserves it. World-class expertise. We're based in top AI research hubs in San Francisco and London. We're backed by AI experts like Juniper Ventures, Seldon Lab, and angels at Anthropic and Apollo Research. You'll have access to some of the best AI expertise in the world. Massive impact. Our mission is to keep people in the economy well after AGI. You'll help shift the trajectory of AI development for the better, helping break the intelligence curse and prevent gradual disempowerment to keep humans in control of the future. About Workshop Labs We're building the AI economy for humans. While everyone else tries to automate the world top-down, we believe in augmenting people bottom-up. Our team previously created evals used by Open AI, completed frontier AI research at MIT/Cambridge/Oxford, worked in Stuart Russell's lab, and led product verticals at high growth startups. The essay series The Intelligence Curse has been covered in TIME, The New York Times, and AI 2027. Our vision is for everyone to have a personal AI aligned to their goals and values, helping them stay durably relevant in a post-AGI economy. As a public benefit corporation, we have a fiduciary duty to ensure that as AI becomes more powerful, humans become more empowered, not disempowered or replaced. We're an early stage startup, backed by legendary investors like Brad Burnham and Matt McIlwain, visionary product leaders like Jake Knapp and John Zeratsky, philosopher-builders like Brendan McCord, and top AI safety funds like Juniper Ventures. Our investors were early at Anthropic, Slack, Prime Intellect, DuckDuckGo, and Goodfire. Our advisors have held senior roles at Anthropic, Google DeepMind, and UK AISI. #J-18808-Ljbffr

A technology company in Sunnyvale is seeking a Staff Hardware Systems Engineer to lead the development of system firmware and kernel-level software for high-performance server platforms. The ideal candidate has over 8 years of experience in hardware systems development and strong expertise in BIOS and firmware engineering. You will directly influence the company's future by enhancing hardware compatibility and performance. Competitive compensation and benefits are provided, including stock options. #J-18808-Ljbffr