Network engineer jobs in Livermore, CA - 2,253 jobs
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Founding Engineer: Build & Scale the Core SaaS
Jack & Jill/External ATS
Network engineer job in San Francisco, CA
A high-growth SaaS startup in San Francisco is seeking a Founding Engineer to be the architectural backbone of their platform. This role offers a rare opportunity to shape core technical vision in a venture-backed startup. You will lead the development of new features across the entire stack, ensuring a seamless user experience while collaborating closely with the founding team. The ideal candidate has proven experience in startup environments, exhibits sharp technical intuition, and exceptional problem-solving skills.
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$125k-174k yearly est. 1d ago
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Consultant Network & Security
Thales Group 4.5
Network engineer job in Palo Alto, CA
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
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$104k-138k yearly est. 5d ago
Machine Learning Infrastructure Engineer
Ambience Healthcare, Inc.
Network engineer job in San Francisco, CA
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 in our SF office 3x/wk.
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, exclusive of 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.
Are you outside of the range? We encourage you to still apply: we take an individualized approach to ensure that compensation accounts for all of the life factors that matter for each candidate.
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.
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$200k-300k yearly 2d ago
Head of Cloud & Hybrid Network Architecture
CMG Financial 4.8
Network engineer job in Palo Alto, CA
A financial services company in Palo Alto is seeking a Manager of NetworkEngineering to lead the networkengineering 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.
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$122k-165k yearly est. 3d ago
Senior Cloud Networking & SDN Reliability Engineer
Lambda Inc. 4.2
Network engineer job in San Francisco, CA
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.
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$132k-180k yearly est. 4d ago
Principal Enterprise IT Engineer
1X Technologies As
Network engineer job in Palo Alto, CA
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.
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$180k-235k yearly 2d ago
Senior Network Engineer M2Synergy Consulting LLC
M2Synergy Consulting LLC
Network engineer job in Palo Alto, CA
At M2SC, we are looking for a senior‑level networkengineer to provide support for secure, mission‑critical environments within the Department of Defense (DoD). As a Senior NetworkEngineer, 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 networkengineering 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.
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$118k-169k yearly est. 4d ago
Distributed ML Infrastructure Engineer
Institute of Foundation Models
Network engineer job in Sunnyvale, CA
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.
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$114k-174k yearly est. 5d ago
Privacy-First ML Infrastructure Engineer
Workshop Labs
Network engineer job in San Francisco, CA
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.
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A leading technology company is looking for a pre-sales technical advisor for security solutions in San Francisco. The ideal candidate has a minimum of 4 years of pre-sales tech experience and a strong understanding of Cisco security products. Responsibilities include guiding account teams, creating tailored solutions, and conducting technical presentations. Competitive salary is offered along with comprehensive benefits, promoting work-life balance and a culture of collaboration. This role is critical in positioning innovative security solutions for diverse customer needs.
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$141k-181k yearly est. 5d ago
IT Engineer - Onsite SF, Autonomous & Impactful
Hard Yaka
Network engineer job in San Francisco, CA
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.
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$113k-161k yearly est. 4d ago
MEP Systems Engineer
Samara 3.4
Network engineer job in Redwood City, CA
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 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.
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$135k-176k yearly est. 2d ago
Staff ML Engineer: Large-Scale NLP & GenAI Systems
Apple Inc. 4.8
Network engineer job in Cupertino, CA
A leading technology company in Cupertino seeks a Machine Learning Engineer to convert high-level goals into measurable requirements. You'll collaborate with diverse teams to implement AI technologies, requiring strong skills in NLP and programming. Applicants should have 5+ years of experience in machine learning and familiarity with cloud platforms. The company provides competitive compensation and benefits including comprehensive health coverage and stock options.
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$142k-183k yearly est. 2d ago
Staff Hardware Systems Engineer - BIOS/Firmware Lead
Crusoe 4.1
Network engineer job in Sunnyvale, CA
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.
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$116k-169k yearly est. 5d ago
Staff ML Engineer - Monetization & Decision Systems
Quizlet, Inc. 4.5
Network engineer job in San Francisco, CA
A leading educational technology company is looking for a Staff Machine Learning Engineer to design and develop AI-powered systems that enhance learning experiences. You will lead modeling efforts, ensuring integration with existing products while driving measurable business outcomes. The ideal candidate has 8+ years of experience in machine learning and strong engineering skills in Python. This onsite position is based in San Francisco, requiring collaboration with various teams to achieve high-quality results.
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$128k-160k yearly est. 4d ago
Machine Learning Infrastructure Engineer
Ambience Healthcare
Network engineer job in San Francisco, CA
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.
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$200k-300k yearly 3d ago
Machine Learning Infrastructure Engineer
Workshop Labs
Network engineer job in San Francisco, CA
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.
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$115k-175k yearly est. 5d ago
Machine Learning Infrastructure Engineer at early-stage private AI platform
Jack & Jill/External ATS
Network engineer job in San Francisco, CA
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
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$115k-175k yearly est. 1d ago
Staff Hardware Systems Engineer - BIOS/Firmware Lead
Crusoe 4.1
Network engineer job in San Francisco, CA
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.
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How much does a network engineer earn in Livermore, CA?
The average network engineer in Livermore, CA earns between $81,000 and $156,000 annually. This compares to the national average network engineer range of $62,000 to $111,000.
Average network engineer salary in Livermore, CA
$112,000
What are the biggest employers of Network Engineers in Livermore, CA?
The biggest employers of Network Engineers in Livermore, CA are: