Network engineer jobs in Fairfield, CA

CMK Resources is partnering with a fast-scaling AI cloud platform on a high-impact, confidential search. This team is solving cutting-edge infrastructure challenges to support massive-scale AI and HPC workloads. They are urgently seeking an experienced Staff/Sr. Staff+ Network Engineer to lead architecture and design of next-generation networking systems. This is a contract-to-hire role (6 months) with the potential to convert to full-time. You'll work closely with a highly technical engineering team and help shape the backbone of our client's AI cloud platform. Responsibilities Architect and implement network infrastructure supporting large-scale AI/HPC compute clusters Own the design and integration of Arista and Nvidia networking solutions (Infiniband, Spectrum X) Build and support low-latency data center networking using RoCE and RDMA technologies Design scalable routing protocols (BGP, OSPF/IS-IS, EVPN, VXLAN, MPLS) Provide expert guidance on backbone, edge, and peering infrastructure Collaborate cross-functionally with compute, storage, and software teams Mentor junior engineers and contribute to global on-call support Qualifications Bachelor's Degree in Computer Science or related area 15+ years of experience in network engineering or architecture roles Proven track record building and scaling production network infrastructure Hands-on experience with Arista and Nvidia networking gear Deep understanding of RoCE (RDMA over Converged Ethernet) Strong knowledge of routing protocols (BGP, EVPN, VXLAN, MPLS, etc.) Experience with cloud connectivity to AWS, GCP, Azure or similar Familiar with switch/router chipsets (Broadcom, Barefoot) and vendors (Cisco, Juniper, Mellanox) Bonus: scripting with Python, Ansible, or automation tools Comfortable working onsite (Sunnyvale, CA/Dublin, Ireland) or remotely with travel as needed Why Join: Help build one of the most technically advanced AI infrastructure platforms in the world Work at the intersection of HPC, AI, and next-gen data center networking Join a small, senior team that moves fast and works on real impact Opportunity to lead and mentor while staying deeply technical

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: Build the coolest tech for the world's leading brands Solve complex problems - and learn new skills Experience the power of transforming digital engineering for Fortune 500 clients Master your craft with leading training programs and hands-on experience Experience a community of change-makers! Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion. Key Responsibilities: Design, implement, document, support, and troubleshoot wired and wireless networks across corporate headquarters, data centers, branches, and ATMs. Lead the design, configuration, and maintenance of the Golden 1 network architecture. Define, evaluate, and validate functional requirements and specifications for network systems. Conduct complex analysis of network hardware, software, and communication lines to ensure optimal performance. Advise and collaborate on network design, architecture, configuration, and periodic configuration reviews. Implement enhancements that improve network reliability, strengthen security, and increase overall performance. Location: Sacramento, CA Salary Range: The salary for this position is $125,000 - $135,000 annually. Factors which may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System] Want to change the world? Let us know. Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!

Source One is a consulting services company and we're currently looking for the following individual to work as an on-site consultant to an autonomous vehicle (AV) ride-sharing company in Hayward, CA. Title: SAP Operation Support Engineer (Contract) Pay Rate: $87.25/hr (W-2) Summary: Our client is seeking an SAP Operation Support Engineer to support SAP S/4, key Base Operations systems, and broader IT infrastructure initiatives. This role focuses on SAP data accuracy, system configuration, operational improvements, and cross-functional collaboration to enhance vehicle and production operations. You will also assist with analytics tools, documentation systems, and general IT application support. The ideal candidate is detail-oriented, proactive, and experienced in SAP S/4 and system operations, with strong communication skills and the ability to manage complex data and processes in a fast-paced environment. Key Responsibilities : SAP Support & Data Management - Serve as the SAP data steward: maintain vehicle lists, equipment structures, work centers, measuring points, counters, task lists, maintenance plans, and catalog codes. - Partner with the Business Applications team on As-Maintained BOM cleanup and resolving data inaccuracies. - Provide configuration management support in SAP for Base Operations ahead of key milestones. - Lead SAP improvement and automation initiatives and evaluate user experience to drive usability enhancements. - Act as the primary SAP subject-matter expert, handling troubleshooting, maintenance, and user support. - Work with internal training teams to create module-specific SAP training for BaseOps users. Systems, Infrastructure & IT Application Support - Provide general IT application support for Base Operations systems and advocate operational needs with Corporate IT. - Lead IT infrastructure and application improvement projects informed by data insights and user feedback. - Support development, maintenance, and operations of technical publications tools, release software, and customer-facing documentation systems. - Improve documentation review workflows in partnership with the BaseOps documentation team. - Support development and use of analytics tools, dashboards, and reporting frameworks to improve operational efficiency. - Conduct data auditing and compliance activities to ensure accuracy, governance, and system reliability. - Communicate project progress, milestones, and outcomes to internal and external partners. Daily Focus : - Manage SAP data accuracy and system improvement projects in close collaboration with Business Applications, Program Management, Strategic Operations, Data Science, Fleet Support, and Engineering. - Monitor and support BaseOps systems and infrastructure, lead software/hardware rollouts, deliver training, troubleshoot issues, and contribute to overall system architecture. - Provide support for SAP S/4, SAP MES, and other IT systems; contribute to operational tools and processes that improve fleet and production uptime. - As needed, support website development and maintenance of operational databases and dashboards. Qualifications : - B.S. in Information Technology or an equivalent engineering field - 6-8 years of experience in a System Operations Support role - Hands-on experience with SAP S/4 - Strong written and verbal communication skills - Highly self-motivated, detail-oriented, and able to prioritize multiple assignments - Experience with UI development/maintenance and UX studies - Coding experience: HTML, CSS, JavaScript Bonus Qualifications : - Experience with SAP ME/MII - Familiarity with Jira/Confluence or similar tools - Experience with web development tools (e.g., Oxygen) and building analytics dashboards - Prior support experience in production or vehicle fleet environments

Our client is transforming customer communication by leveraging advanced voice AI technology. Voice remains one of the most natural ways for people to interact, yet traditional systems have lagged behind for decades. The goal is to bring intelligence, empathy, and efficiency to every business-to-customer conversation. In less than two years, the company has grown rapidly, with thousands of businesses using its AI-driven voice solutions to manage sales, support, and logistics calls that previously required large human teams. Backed by top-tier investors, the organization has achieved significant revenue milestones and continues to scale aggressively. They are seeking ambitious individuals who want to tackle complex technical challenges, move quickly, and make a meaningful impact at one of the fastest-growing companies in the voice AI space. About the Role: As a Senior Forward Deployed Engineer, you'll deliver voice AI solutions to enterprise clients, embedding with their teams to build production-ready systems. You'll bridge technical and non-technical stakeholders, drive adoption, and shape the platform through customer insights. Key Responsibilities: Lead end-to-end delivery of projects using our voice agent platform Build full-stack integrations (Python, JavaScript) with enterprise tools Partner with sales to gather requirements, prototype demos, and present designs Translate field feedback into actionable product recommendations Ideal Background: 2+ years in customer-facing technical roles Strong communication skills and ability to explain complex concepts Experience delivering systems in fast-paced environments Proficiency in Python and JavaScript Understanding of LLM-powered systems Compensation & Benefits: Salary: $215K-$290K Equity: 0.15-0.35% Location: Onsite in the San Francisco Bay Area Comprehensive health coverage, wellness and commuter reimbursements, and other perks Interview Process: Includes recruiter intro, technical assessment, coding interview, customer-focused discussion, and onsite/virtual rounds covering communication, architecture, and problem-solving. Join us to shape the future of voice automation with your technical expertise and communication skills.

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

Systems Engineer - Video Intelligence Infrastructure - San Francisco About the Company A Series A Funded start-up who already have millions in recurring revenue are building next-generation AI infrastructure for video intelligence are looking for a Systems Engineer to join their team. What You'll Be Doing: Design and engineer systems that handle compute, scheduling, and orchestration of complex ML + ETL pipelines Optimize hyper-fast distributed systems running at the scale of thousands of GPUs Build systems that process video data quickly, reliably, and cost-effectively at internet scale Develop robust internal tooling and CI/CD pipelines for rapid ML team iteration Focus on system uptime and performance optimization for mission-critical infrastructure What We're Looking For: 3+ years building foundational data infrastructure Experience designing and maintaining pipelines that process petabytes of data Strong background developing CI/CD pipelines for ML-focused teams Excellent coding skills in Go and Python Independent contributor who leads by example What's In It For You Competitive salary up to $250k Small, high-impact team with significant growth trajectory Opportunity to work with top AI video labs and collect world-class datasets Apply now for immediate consideration!

🚀 Hiring: Infrastructure Engineer | SF (Onsite Only) Chalk is building the data platform powering next-gen machine learning applications - eliminating the complexity and scale issues that hold teams back. Backed by a recent $50M Series A, we're growing fast and looking for an exceptional Infrastructure/Platform Engineer to join us onsite in San Francisco. What you'll do: • Build automation + orchestration for Chalk's ML data platform • Develop infra tooling across AWS/GCP using Python, Go, Terraform • Own deployments both in our hosted platform and customer cloud environments • Work across Compilers, DBMS, and distributed systems challenges • Contribute as an early engineer with high autonomy and impact What we're looking for: • 2+ years in infra engineering • Strong experience coding for infra automation • Python, Go, or Terraform proficiency • AWS or GCP hands-on experience • Strong collaboration skills - bonus if you've worked with customers or Sales teams Why Chalk? • High-growth startup, massive ownership • Competitive salary + generous equity • Fully stocked office, daily meals, strong benefits • 15 PTO days + 15 company holidays 🎄 • In-office culture (Mon-Fri) If you're excited about building the backbone of ML-driven systems at scale, let's talk! 🚀

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

We are actively searching for a Distributed Systems Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Our office is located in downtown SF and we collaborate two days a week onsite. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 3+ years of professional distributed database systems experience Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Available to collaborate onsite 2 days a week Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

The Role: The IT Operations team designs, builds, and maintains the corporate technology infrastructure that powers our people and systems. We're seeking a highly skilled and proactive IT Support Engineer Lead to provide advanced technical support, strategic guidance, and hands-on leadership across our distributed workforce and helpdesk operations. In this role, you will oversee the deployment, configuration, and optimization of hardware and software solutions while ensuring reliability, security, and scalability. You'll play a key role in designing and implementing performance enhancements, streamlining IT operations through automation, and guiding the team toward best-in-class service delivery. Location: This role requires a hybrid work schedule, with 2-3 days per week in our San Francisco, CA office to foster collaboration and teamwork. Responsibilities: Lead and mentor the IT support team, setting standards for timely, high-quality technical assistance across mac OS, Windows, and SaaS platforms. Develop and execute strategies for end-user support, device configuration, and system maintenance to improve reliability and user experience. Administer and manage devices using MDM tools such as Intune, Kandji, and Automox, ensuring compliance and security standards are maintained. Manage and support critical SaaS platforms including Slack, Microsoft 365, Atlassian, Okta, and Zoom, handling integrations, permissions, and user lifecycle management. Configure and maintain core network services (DNS, DHCP), VoIP systems, and A/V confe rencing solutions to enable seamless collaboration. Collaborate cross-functionally with other teams to identify technical improvements, contribute to architectural decisions, and support organizational initiatives. Design and deliver training sessions for employees on software tools, hardware usage, and IT best practices to foster self-sufficiency and adoption. Drive automation and process improvement initiatives to increase efficiency and reduce manual intervention across IT workflows. Qualifications: 5-8 years of IT support experience in a fast-paced, dynamic environment, including 3+ years in a Lead or Level 2 role. Deep expertise with MDM platforms (Intune, Kandji) and endpoint management. Strong hands-on skills in hardware, software, and network troubleshooting, with a structured and analytical problem-solving approach. Experience managing Microsoft 365, Okta, and other SaaS ecosystems at scale. Solid understanding of networking protocols and configuration (DNS, DHCP, VPNs, VLANs, firewalls). Demonstrated success in mentoring junior IT staff, managing escalations, and improving helpdesk workflows. Familiarity with VoIP and A/V systems configuration and troubleshooting. Excellent communication and documentation skills, with the ability to translate technical concepts for non-technical users. A mindset focused on security, automation, and continuous improvement. Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication

Virtualization Engineer-- Hirirng On W2. Must Haves: aExperience in Microsoft Azure. b.Software and Hardware experience in Nutanix. c.Experience in Windows system administration. Migrate workloads to M365. Migrate remaining servers and applications from the VMWare environment to Microsoft Azure. Deploy Nutanix virtual environments to migrate Data Center systems not included in other projects to Nutanix environments. Replace remote office VMWare virtual environments with Nutanix systems. Review and develop architecture plans for Nutanix and Azure with vendor input. Review and develop plans for migration activities to Nutanix and Azure in conjunction with State Fund SMEs and vendor architects. Coordinate with other IT teams to research and resolve complex issues. Provide technical guidance and resources to other IT teams as needed. Escalate critical issues that impact pre-production and production systems when necessary. Perform post-event analysis to determine root cause and possible preventive measures. Coordinate administrative, maintenance, and support activities of infrastructure to support IT and business initiatives. Lead, plan, develop, implement, and participate in project design, system administration, maintenance, and support essential to the mission. Develop automation using tools such as Ansible and Python to streamline routine tasks. Ensure designs meet best practice security guidelines. Optimize systems for performance based on their use case. Optimize State Fund spending in Azure to prevent overspend. Assist State Fund management in proactively managing vendor resources. Lead design discussions, research, identify, and provide recommendations on solutions and best practices to improve or resolve mission-critical systems and issues. Coordinate with other IT teams to research and resolve complex issues. Perform post-event analysis to determine root cause and possible preventative measures. Act as a lead role in projects assigned by management. Participate in problem management and root cause analysis and maintain 24x7 availability and monitoring of business system servers. Provide after-hours maintenance and support, whenever required. Participate in the on-call rotation with other Server Operations staff

Forward Deployed Engineer (AI Infrastructure) $80,000 - $120,000 + Equity + Benefits + PTO San Francisco, CA - Onsite (6 days/week) Are you an engineer who loves solving complex, real-world problems directly with customers? Do you want to work hands-on deploying cutting-edge AI infrastructure used by developers and enterprises around the world, whilst continuing to develop both your technical and client-facing skillsets. This is a rare opportunity to join a profitable, fast-growing AI startup at the heart of the LLM ecosystem. The team is building a unified platform that lets developers call any large language model - from OpenAI and Anthropic to Mistral and Hugging Face - through a single, standardized API. The SDK eliminates vendor lock-in, supports caching, logging, streaming, and integrates seamlessly with frameworks like LangChain and LlamaIndex. Founded in 2023 and already profitable with $2.5M ARR (targeting $10M by mid-2026), the company is looking for its first Forward Deployed Engineer. someone who thrives at the intersection of customer success, engineering, and systems design. You'll work closely with customers to deploy, optimize, and troubleshoot the platform in production environments while shaping the product roadmap based on real-world insights. You'll report directly to the CTO and operate as a key technical partner to clients, ensuring smooth integrations, rapid debugging, and performance tuning across infrastructure, backend, and frontend layers. Expect deep technical ownership, customer-facing impact, and the chance to build the foundation of a company defining AI interoperability. If you want to join a tight-knit, high-caliber team where your code and customer instincts both matter, whilst continuing to develop your skillsets The Role Deploy, configure, and optimize customer environments for reliability, performance, and scalability. Troubleshoot and resolve complex full-stack issues across infrastructure, backend (FastAPI/Python), and frontend (React/Next.js). Collaborate directly with customer engineering teams on implementations, migrations, and custom integrations. Act as the technical voice of the customer - building tools, contributing fixes, and feeding insights back to product and engineering. The Person Experience with production-grade full-stack systems. Strong in Python and FastAPI; React/Next.js and TypeScript familiarity a plus. Hands-on problem solver who enjoys debugging, building, and iterating directly with users. Strong communicator who thrives in dynamic, customer-facing environments. Excited to work in an early-stage, high-autonomy and feedback focused culture. Happy to work on-site in San Francisco

San Francisco, CA (Onsite) About the Company A fast-moving AI research group is building the core video data infrastructure used by leading AI labs and major tech companies. The team is small at around fifteen people, nearly all engineers, and recently pivoted to focus exclusively on high-quality video data at massive scale. The shift has driven significant revenue growth, and they are now planning to expand the team steadily over the next few months. The culture is straightforward: engineering led, product focused, low ego, and built around people who enjoy ownership. They work in person five days a week in their San Francisco office, moving quickly, solving hard problems, and avoiding micromanagement. The Role This position focuses on designing and scaling distributed systems that support huge ML and ETL workloads across petabytes of video. You will own core infrastructure: compute scheduling, orchestration, throughput, reliability, cost efficiency, and the internal tooling that keeps the entire engineering group moving at pace. The company is beginning to scale its infrastructure footprint aggressively, and this role will become central to that growth. It is a hands-on IC position suited to someone who has operated critical systems before and wants to shape the foundation of a rapidly expanding platform. What You'll Work On • Architect and scale distributed systems for large-scale ML and ETL workloads • Build compute orchestration and scheduling across thousands of GPUs • Improve uptime, resilience, and execution speed of high-volume data pipelines • Design pipelines capable of handling petabyte-level video datasets • Lead the development of CI/CD and internal tooling for fast iteration • Partner closely with research engineers delivering new video models and algorithms • Operate in a high-trust environment with strong autonomy and clear ownership Requirements • 3+ years building foundational distributed systems or data infrastructure • Experience running critical systems at significant scale • Proficient across cloud architectures • Strong coding experience with Go (preferred) and Python • Background building or maintaining large-scale pipelines • Experience with ML-focused CI/CD and automation • Video domain experience is not required • Operates as a strong IC who leads through action • Fully onsite in San Francisco, Monday to Friday Culture Fit • Enjoys ambiguity, problem discovery, and self-direction • Communicates clearly and concisely • Shows strong intellectual curiosity • Low ego, collaborative mindset • Motivated by building core systems in a small, high-caliber team Red flags include weak communication, low curiosity, or unclear motivation for the domain. Interview Process Intro call focused on culture, curiosity, and communication Technical discussion on background and complexity of past work Problem-solving session with a research engineer Onsite research problem and collaboration exercise

Job Title: Auth0 Implementation Engineer Duration: 4 months Contract Notes: Details of the request include: • Must-have skill requirements of the role: Hands-on experience with Auth0 implementation and migration, application onboarding, standard access management, and IAM knowledge. Location/ Travel - Onsite Requirements: On-site 100% - Newark, CA. Contract description: Design, configure, and implement Auth0 solutions for identity and access management across enterprise applications. Lead migration projects from legacy authentication systems to Auth0, ensuring minimal downtime and data integrity. Onboard applications into Auth0, including integration with APIs and third-party services. Develop and enforce standard access management practices, including role-based access control (RBAC) and multi-factor authentication (MFA). Collaborate with security, development, and operations teams to troubleshoot and optimize authentication workflows. Qualifications: Proven hands-on experience with Auth0 implementation and migration in enterprise environments. Strong understanding of Identity and Access Management (IAM) concepts, protocols (OAuth2, OpenID Connect, SAML), and best practices. Proficiency in application onboarding and integration with authentication platforms. Familiarity with security standards and compliance frameworks (e.g., SOC2, GDPR). Excellent problem-solving skills and ability to work in cross-functional teams.

Head of Voice AI San Francisco, CA (in-office, relocation supported) We're partnering with a YC-backed startup that's building an AI-powered platform to reinvent one of the world's largest industries. Voice is at the core of how their customers do business, and they're hiring a AI Engineer - Voice to own the design, deployment, and scaling of voice systems that will power thousands of conversations every day. This is a hands-on leadership role where you'll prototype rapidly with low-code tools (VAPI, Retell) and then scale into custom voice infrastructure (LiveKit, Pipecat, WebRTC) as the company grows. You'll build systems that handle everything from outbound prospecting to multi-turn applications, underwriting support, and 24/7 customer service - all while keeping latency below 700ms and delivering real business impact. What You'll Do: Deploy production voice agents in weeks, not months, to drive immediate growth Architect scalable infrastructure capable of handling 10,000+ concurrent calls Build outbound agents that qualify leads, book meetings, and close pipeline gaps Develop intelligent, multi-turn conversation workflows for long-form applications Launch 24/7 voice agents for servicing, claims, payments, and renewals Create internal tools and analytics to measure and optimize conversation quality About You: 5+ years of software engineering experience, with 3+ focused on voice/audio systems Hands-on experience deploying production voice AI systems at scale (50K+ minutes/month) Strong background in telephony and real-time audio (SIP, RTP, WebRTC, VAD, AEC, noise suppression) Proficiency in Python and TypeScript/Node.js for real-time systems Deep knowledge of modern STT/TTS and conversational AI providers (OpenAI, Anthropic, Deepgram, ElevenLabs, etc.) Track record of shipping features fast and measuring success by business outcomes Based in San Francisco (or willing to relocate) and excited by an in-office, high-intensity startup culture Why Join: This is an early hire at a YC startup where voice is the biggest lever for scale. You'll work shoulder-to-shoulder with the founders, ship daily, and directly impact revenue, efficiency, and customer experience. If you've built voice AI before and want to push the limits of what's possible in real-world production environments, this is the role to do it.

CMK Resources is partnering with a fast-scaling AI cloud platform on a high-impact, confidential search. This team is solving cutting-edge infrastructure challenges to support massive-scale AI and HPC workloads. They are urgently seeking an experienced Staff/Sr. Staff+ Network Engineer to lead architecture and design of next-generation networking systems. This is a contract-to-hire role (6 months) with the potential to convert to full-time. You'll work closely with a highly technical engineering team and help shape the backbone of our client's AI cloud platform. Responsibilities Architect and implement network infrastructure supporting large-scale AI/HPC compute clusters Own the design and integration of Arista and Nvidia networking solutions (Infiniband, Spectrum X) Build and support low-latency data center networking using RoCE and RDMA technologies Design scalable routing protocols (BGP, OSPF/IS-IS, EVPN, VXLAN, MPLS) Provide expert guidance on backbone, edge, and peering infrastructure Collaborate cross-functionally with compute, storage, and software teams Mentor junior engineers and contribute to global on-call support Qualifications Bachelor's Degree in Computer Science or related area 15+ years of experience in network engineering or architecture roles Proven track record building and scaling production network infrastructure Hands-on experience with Arista and Nvidia networking gear Deep understanding of RoCE (RDMA over Converged Ethernet) Strong knowledge of routing protocols (BGP, EVPN, VXLAN, MPLS, etc.) Experience with cloud connectivity to AWS, GCP, Azure or similar Familiar with switch/router chipsets (Broadcom, Barefoot) and vendors (Cisco, Juniper, Mellanox) Bonus: scripting with Python, Ansible, or automation tools Comfortable working onsite (Sunnyvale, CA/Dublin, Ireland) or remotely with travel as needed Why Join: Help build one of the most technically advanced AI infrastructure platforms in the world Work at the intersection of HPC, AI, and next-gen data center networking Join a small, senior team that moves fast and works on real impact Opportunity to lead and mentor while staying deeply technical

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

We are actively searching for a Distributed Systems Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Our office is located in downtown SF and we collaborate two days a week onsite. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 3+ years of professional distributed database systems experience Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Available to collaborate onsite 2 days a week Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

Agent Systems Engineer - San Francisco or Redwood City A company who are building AI systems with general physical ability are looking for a Senior Agent Systems Engineer to design and implement the planning, orchestration and tool-use behaviors that allow AI Agents to operate complex physical and experimental workflows. What Will I Be Doing: Build agent planners, tool-call flows, and state machines using LangGraph or similar frameworks. Design schemas, action adapters, and cross-tool interfaces enabling deterministic, traceable LLM tool use. Develop error handling, timeout strategies, retries, rollbacks, and replay mechanisms for robust agent behavior. Collaborate with systems architecture, infrastructure, and ML teams to integrate agents into real engineering toolchains. What We're Looking For: Strong experience building agent systems, LLM tool-calling pipelines, or structured orchestration frameworks. Deep understanding of schemas, action abstractions, reproducibility, and deterministic multi-step execution. Ability to reason about system-level failure modes, edge cases, and safe tool interaction. Comfortable working across AI, systems, and domain-tooling interfaces in a fast-moving, high-precision environment. Above all, we're looking for candidates who demonstrate world-class excellence. What's in It for Me $200k - $300k dependent on experience and meaningful equity The chance to build foundational agentic infrastructure for physical AI Ownership of end-to-end, real-world systems that directly drive scientific breakthroughs A role at the core of a rapidly growing, deeply technical team The opportunity to define how AI interacts with the physical world Apply now for immediate consideration!