Network engineer jobs in Sunnyvale, CA

📍 Hayward, CA (On-site; occasional visits to Fremont, CA) 🕒 Contract: 6-12 months 💲 $75-85/hour 🏭 Industry: Autonomous Mobility About the Role We're seeking an experienced SAP Operations Support Engineer to support and enhance SAP systems and operational tools for Base Operations, with occasional support for General Assembly. This role focuses on SAP S/4HANA data integrity, system configuration, process improvement, and cross-functional collaboration to improve operational efficiency across vehicle operations. The ideal candidate is highly detail-oriented, self-driven, and comfortable working in fast-paced, complex environments. You enjoy solving system, data, and process challenges and can communicate effectively with both technical and non-technical partners. Key Responsibilities SAP Support & Data Management Act as the SAP data steward, maintaining vehicle lists, work centers, measuring points, counters, maintenance plans, task lists, catalog codes, and equipment structures. Partner with Business Applications teams to resolve data inaccuracies and support As-Maintained BOM cleanup. Provide SAP configuration management support for Base Operations ahead of major milestones. Identify and lead SAP product improvements and automation initiatives. Evaluate SAP user experience and drive enhancements to improve usability and adoption. Serve as the primary SAP subject-matter expert, providing troubleshooting, maintenance, and ongoing system support. Collaborate with training teams to develop role- and module-specific SAP training for BaseOps users. Systems, Infrastructure & IT Application Support Provide IT application support for critical Base Operations systems and act as a liaison with Corporate IT. Lead infrastructure and application improvement projects based on data insights and user feedback. Support technical publications and service manual authoring tools, release software, and customer-facing documentation systems. Partner with documentation teams to improve documentation review and release processes. Support development and use of analytics tools, dashboards, and reporting frameworks. Lead data auditing and compliance efforts to ensure accuracy, governance, and system reliability. Communicate project status, milestones, and outcomes to internal and external stakeholders. What You'll Work On Daily Collaborate closely with Business Applications on SAP data accuracy and system improvement initiatives. Work cross-functionally with Program Management, Strategic Operations, Data Science, Fleet Support, and Engineering teams. Monitor and support critical BaseOps systems and assets, including troubleshooting and maintenance. Support software and hardware rollouts, user training, and system infrastructure planning. Contribute to projects involving SAP S/4HANA, SAP MES, and related IT systems that improve system efficiency and operational uptime. Occasionally support website maintenance, operational analytics databases, dashboards, and vehicle production line systems. Qualifications Bachelor's degree in Information Technology, Engineering, or equivalent experience. 6-8 years of experience in a systems operations or IT support role. Hands-on experience with SAP S/4HANA. Strong verbal and written communication skills. Highly self-motivated, detail-oriented, and able to manage competing priorities. Experience with UI development and maintenance, including UX studies. Coding experience with HTML, CSS, and JavaScript. Broad IT systems knowledge and operational awareness. Nice to Have Experience with SAP ME/MII. Familiarity with Jira, Confluence, or similar ticketing/documentation tools. Experience with web development tools (e.g., Oxygen). Experience building dashboards and data analytics tools. Prior systems support experience in production environments or vehicle fleets. Interview Process 30-minute Zoom interview with the Hiring Manager 1-1.5 hour panel interview with the technical team

Travel: Up to 10% (site upgrades, maintenance, turn-ups) Team: Technology Services - Network Engineering Employment Type: Full-Time We are seeking an experienced and highly skilled Senior Network Engineer to join our Technology Services team at an award-winning organization with a global presence that has been recognized multiple times as one of the Best Places to Work. This role is well suited for a seasoned professional who thrives in a hands-on environment and takes ownership of implementing, maintaining, and optimizing modern enterprise network infrastructure. In this position, you will design, deploy, and support enterprise-grade network and security systems, including next-generation firewalls, campus switching, and enterprise wireless environments. Your expertise will directly impact network reliability, performance, and security through strong architectural design, automation, and disciplined change management practices across a dynamic, multi-site environment. This senior-level role requires deep technical expertise in networking and network security, with particular emphasis on Palo Alto Networks firewalls and Cisco/Meraki wired and wireless technologies, within a collaborative, high-performance culture that values innovation, technical excellence, and long-term career growth. Core Tools & Technologies Vendors / Operating Systems: Palo Alto Networks (PAN-OS, Panorama) Cisco (IOS) Meraki SonicWall (SonicOS, NSM) Ruckus Protocols & Networking Concepts: BGP, STP, LACP VLANs, Inter-VLAN Routing 802.1X (EAP) IPsec & SSL VPN QoS, DNS/DHCP, NAT, IPv6 EtherChannel, MC-LAGG / vPC Security Capabilities: Malware Prevention, Anti-Spyware, Antivirus Vulnerability Protection, File Blocking, Data Filtering DNS Security, DoS/DDoS & Zone Protection Micro-Segmentation / ACLs Zero Trust Networking (ZTNA) Key Responsibilities Network Implementation: Design, configure, and deploy LAN, WAN, and wireless networks, including switches, firewalls, access points, and supporting hardware and software. Wired & Wireless Network Management: Own the lifecycle of Cisco switching and Meraki wireless environments, including deployment, configuration, tuning, monitoring, and capacity planning. Troubleshooting & Performance: Act as a senior escalation point for network-related issues, performing advanced troubleshooting and root cause analysis (RCA) to maintain availability and performance. Firewall & Network Security: Manage and support Palo Alto Networks NGFWs and Panorama, implementing security policies, NAT rules, segmentation strategies, and threat prevention best practices. Documentation & Collaboration: Maintain accurate network documentation and collaborate cross-functionally to deliver projects, implement changes, and resolve issues effectively. Mandatory Qualifications (in order of importance) Cisco & Meraki Expertise Extensive hands-on experience with Cisco IOS switches and Meraki switches and access points. Deep experience designing, deploying, and operating Meraki MR wireless environments, including Dashboard administration, RF optimization, and 802.1X authentication. Strong mastery of enterprise networking fundamentals: VLANs, trunking, STP, inter-VLAN routing, LACP/EtherChannel, MC-LAGG/vPC, DHCP Snooping, and BPDU Guard. 7-10+ years of experience configuring and troubleshooting enterprise wired and wireless networks. Advanced Troubleshooting Skills Proven ability to diagnose complex network issues using tools such as Wireshark/TCPDump, ping, and traceroute. Strong preference for candidates with CCNP- or CCIE-level troubleshooting expertise, particularly in wireless environments. Demonstrated experience troubleshooting NGFW policies and advanced security features, including URL Filtering, DNS Security, Threat Prevention, Data Filtering, App-ID, and User-ID. Communication Skills Excellent written and verbal communication skills. Ability to clearly explain complex technical concepts to both technical stakeholders and non-technical audiences, including leadership. Palo Alto Networks Expertise Proven hands-on experience configuring, managing, and troubleshooting Palo Alto Networks NGFWs and Panorama. Strong knowledge of high availability (HA), device groups, templates, and best-practice implementation of full NGFW feature sets. 3-5+ years of experience operating Palo Alto Networks firewall environments. Desired Qualifications Certifications: Cisco Certified Network Professional (CCNP) Palo Alto Networks Certified Network Security Engineer (PCNSE) Additional Technical Experience: Familiarity with SonicWall firewalls and/or Ruckus wireless systems. Strong understanding of BGP, route maps, and route redistribution. Experience with Palo Alto Advanced Routing Engine (ARE) and multi-virtual router designs. Hands-on experience with 802.1X, RADIUS, PKI, DNS, and related services. Exposure to network automation and infrastructure-as-code tools such as Ansible, Terraform, Jinja2, and PAN-OS APIs. Why Join This Team You will be part of a small, high-impact engineering team responsible for mission-critical network and security infrastructure across multiple sites. This role provides the opportunity to work with modern technologies, influence architectural standards, and contribute to a secure, scalable, and high-performing enterprise network environment.

Network Engineer (Peering) Data Center Fremont,CA / Boston,MA (Onsite) Fulltime Responsibilities: 7 to 15 years experience in Network engineering. Deploy, configure, and maintain large-scale production and corporate network and server infrastructure across data centers, Points of Presence (POPs), edge, backbone, and content delivery network (CDN) infrastructure. •Provide onsite network support and expertise within local data center campuses and offer remote support for POP sites, collaborating with vendor support teams. •Schedule and execute network maintenance, repairs, or upgrades, with minimum impact on production networks. •Turn up new circuits and collaborate with vendors to troubleshoot out-of-service or faulty circuits. •Maintain accurate documentation and database updates to reflect changes in the network. Qualifications/Skills: •Minimum CCNA/JNCIA certification; CCNP (Routing and Switching) preferred. •Familiarity with PoP infrastructure concepts including MMR, cross connect, peering, cage, patch panel, and ODF. •Proficient in fiber-optic technology, cable and connector types, patch panels, and optical transport technologies. •Experience in ordering cross connects and local patches from vendors like Equinix, Interxion, Telehouse, etc. across the region. •Hands-on experience in Edge capacity provisioning and decommissioning. •Skilled in network optimization, including re-stripes, migrations, and capacity upgrades. •Strong understanding and practical experience with networking protocols such as BGP, LACP, IS-IS, and MPLS. •Excellent attention to detail, time management, and organizational skills. •Proven ability to maintain comprehensive documentation. •Expert troubleshooting skills with the capacity to analyze complex situations under pressure. •Effective communicator with the ability to collaborate with external peers, vendors, and internal teams. •Programming and scripting capabilities are highly desirable. •Ability to thrive in a fast-paced, dynamic global team environment with minimal supervision. •Proactive, self-motivated, with a can-do attitude.

Pay: $110,000.00 - $125,000.00 per year The Quanta Manufacturing Fremont (QMF) Network Engineering team is responsible for architecting, building, automating, and managing our Network Infrastructure at our campus in Fremont, CA and our public cloud providers. As a Network Engineer, you will work with talented colleagues on challenging projects within the IT Infrastructure. You'll bring a proactive approach to network management and support, addressing both immediate operational requirements and long-term network stability. You'll enjoy this team if you like working in a highly collaborative environment focused on being entrepreneurial, agile, and responsive. This position will be located in our Fremont, CA headquarters. Duties/Responsibilities: Implement, and maintain various network infrastructures, focusing on scalability, reliability, and security. Perform network maintenance and system upgrades including service packs, patches, hot fixes, and security configurations. Monitor network performance, ensure system availability and reliability, and provide network optimization recommendations. Troubleshoot network problems, outages, and ensure rapid resolution of network incidents. Work with the latest network management tools Establish & maintain a strong relationship with the business including local, remote, and regional users regarding network technology solutions. Document network configuration and operational procedures. Establish & maintain healthy working relationships with all technology departments Be viewed as a knowledgeable and reliable technical resource across all network technologies. Ensure the business understands our service portfolio by translating technical solutions into simple to understandable dialogue Manage and support Public Clouds associated security and network services like PAN, Firewall, etc. Partner with the InfoSec team to ensure Security best practices are enforced in an effective and scalable manner. Required Skills/Abilities: 4+ years extensive network engineering, with experience in implementing and managing enterprise (Data center/Public Clouds) at scale using industry standard networking solutions. Understanding of Enterprise Network design, including Data Center, Campus, Public Cloud, and Global WAN connectivity. Understanding of IPv4/IPv6, BGP/MBGP, OSPF, VPN, LAN, and L2 switching Proficient in Azure Public Cloud platforms. Palo Alto Networks Prisma Access, Global Protect, and Virtual Firewall 4+ Years' experience with Cisco, Meraki, Palo Alto Networks and/or Fortinet technology Education and Experience Minimum 4-year college degree in Management Information Systems, Computer Science, or equivalent discipline. CCNA Certification Azure VWAN, VNET + Peering, VPN, Firewall, and NSG a plus Physical Requirements: Ability to walk and stand on cement floors for long periods. Ability to stand, stoop, bend and performing repetitive tasks. Must be able to lift to 30 pounds at a time. Prolonged periods of sitting at a desk and working on a computer

) onsite in San Jose office Certifications Must CCNA,CCNP and Aruba 15 years of experience is must, no remote Key Responsibilities • Campus Network Architecture: Lead the end-to-end design and deployment of campus network solutions, leveraging Cisco, HPE, and Aruba platforms to ensure scalability, resilience, and seamless user experience. • Wireless Networking: Architect, implement, and manage Aruba Wireless infrastructure, optimizing coverage, capacity, and security for thousands of users across campus facilities. • Network Access Control: Deploy and administer ClearPass solutions for secure network access, including device onboarding, authentication, policy enforcement, and guest management. • Integration & Interoperability: Ensure seamless integration between Cisco, HPE, and Aruba ecosystems, troubleshooting and optimizing interoperability challenges. • Network Performance Optimization: Monitor, analyze, and fine-tune network performance, proactively identifying bottlenecks, enhancing throughput, and minimizing downtime. • Security & Compliance: Implement robust security protocols and standards across wired and wireless networks, maintaining compliance with regulatory requirements and organizational policies. • Project Leadership: Lead cross-functional teams in large-scale network projects, setting clear milestones, tracking deliverables, and ensuring timely completion. • Documentation & Standards: Create and maintain comprehensive network documentation, including topology diagrams, device inventories, configuration standards, and incident reports. • End-User Support: Provide expert-level troubleshooting for network-related issues, collaborating with helpdesk teams, site support teams and end users. • Capacity Planning: Analyze current and projected network needs, designing scalable solutions to support organizational growth and evolving technology. • High Availability & Business Continuity: Develop and maintain network redundancy, failover mechanisms to ensure uninterrupted operations. Qualifications • Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. . Master's degree or certifications are a plus. • Experience: Minimum of 15 years' progressive experience in network engineering, with demonstrable expertise in campus network environments. • Technical Certifications Preferred: o Cisco CCNP/CCIE (Enterprise Infrastructure or Wireless) o HPE ASE/MASE (Aruba Certified) o Aruba Certified Mobility Expert (ACMX) or Professional (ACMP) o Aruba Certified ClearPass Expert (ACCX) o Other relevant industry certifications are desirable Skills/Expertise • Hands-on experience and advanced troubleshooting skills with: • Cisco switching and routing (Catalyst, Nexus, DNA Center) • HPE/Aruba switching • Aruba Wireless, APs, Controllers, Mobility Conductor • ClearPass Policy Manager, Guest, Onboard, and integration features • Network access control and zero-trust frameworks • Campus segmentation (VLANs, VXLAN, SDN) • Network monitoring tools • Authentication protocols (802.1X, RADIUS, TACACS+, EAP) Soft Skills • Results-driven mindset with a track record of delivering high-impact network solutions on time and within budget • Exceptional problem-solving, analytical, and organizational abilities • Clear and effective communication skills for technical and non-technical audiences • Leadership and mentorship experience, fostering collaboration and knowledge-sharing among teams • Agility in dynamic, fast-paced environments, adapting to evolving business needs

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.

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

MatchPoint is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry specific best practices and expertise. We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you! Design, Build and Operate scalable software systems to manage Client's network infrastructure. Only local candidates. Skills 8 -10 years experience with enterprise Wi-Fi including but not limited to 802.11 standards, encryption,, 802.1x, RADIUS, EAP-TLS, wireless client chipset/driver configurations. Proven understanding of TCP/IP (both IPv4/IPv6), routing, and switching Experience with supporting collaboration tools utilizing Wi-Fi Experience with wireless design and tools such as Ekahau or Hamina Experience with Cisco AireOS and Juniper Mist platforms. Certifications: CWNA, ECSE-D Networking services for ACS, AAA, DHCP, BOOTP, DNS, ICMP and SNMP Remote access technologies (i.e. SSL-VPN, IPSec, B2B) Layer 3 (ie: OSPF, BGP, VRFs, QOS, ACLs, Route redistribution, Route filtering, MPLS-VPNs, EVPN, VxLAN, GRE, DMVPN etc..) Experience designing, configuring and implementing a wireless network. Experience in Network planning, design strategies for an enterprise WLAN, design of infrastructure and network services, designing WLAN RF, advanced wireless site surveying, 802.11 security design, and troubleshooting of WLAN design. Ability to script using Ansible, Python, and Shell a plus

This role involves designing, deploying, and optimizing enterprise wireless networks utilizing Cisco Meraki and Juniper Mist platforms. The Wireless Design Engineer will lead wireless architecture development, perform wireless surveys, and deliver secure WLAN solutions across various environments, ensuring high performance and scalability. Onsite Requirements This role is onsite in Santa Clara, CA, requiring presence five days per week. Responsibilities Design, implement, and support enterprise WLAN solutions using Cisco Meraki and Juniper Mist. Conduct predictive, active, and passive wireless surveys utilizing tools such as Ekahau or AirMagnet. Develop and maintain wireless architecture documentation including high-level and low-level designs. Perform RF design, channel planning, and power tuning to optimize performance and capacity. Lead wireless network deployments, upgrades, and ongoing optimization processes. Monitor and troubleshoot wireless networks using Meraki Dashboard and Mist AI analytics. Implement WLAN security features such as WPA2/WPA3-Enterprise, 802.1X, and RADIUS, along with VLAN segmentation and QoS strategies. Qualifications At least 5 years of relevant experience in wireless network design and deployment. Proven expertise with Cisco Meraki and Juniper Mist wireless platforms. Experience conducting wireless surveys and RF planning. Strong understanding of WLAN security protocols, VLAN configuration, and network troubleshooting. Ability to develop detailed architecture documentation. Familiarity with wireless monitoring and analytics tools. Desired Skills Experience with wireless capacity planning and performance tuning. Knowledge of additional wireless security standards and network segmentation strategies. Prior experience working in corporate, campus, or distributed environments.

🚀 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! 🚀

Responsibilities: Provide approximately 20 hours per week professional and friendly support and problem solving in person and remotely. Recognize opportunities for technology improvements, make suggestions, and lead projects. Requirements: College graduate Excellent interpersonal skills Ability to develop good rapport, enjoy working with people Excellent written and verbal skills Strong problem solving, organization and analytical skills Ability to work independently, with team and with clients in a professional manner Superb client management, expectation management, negotiation, and conflict resolution skills Excellent organization, initiative, follow-up, and communication skills Strong motivation to exceed goals Enthusiasm for technology and creative solutions Ability to work flexible hours Prior IT support experience, experience with conference room and office technology, network devices Self-starter and self-motivated Eagerness to learn Benefits: Friendly, fast-paced working environment Great opportunity to work closely with experienced IT consultants Exposure to wide variety of cutting edge technologies. Opportunity to share and act on innovative ideas. Compensation: Part-time, Hourly compensation Work primarily remotely, with 1/2 day on-site per week. This is a great opportunity for someone with a flexible schedule and prior IT support experience. If you are interested in being part of a fun team, can work independently, and meet the qualifications listed above you will be a great fit for this position. Please email resume and cover letter to above address even if the ad is a few weeks old, we still want to hear from you!

About the Company: We combine people, platforms, and software Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, and retail industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Partners portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, New Delhi, Mumbai, Pune, and Bengaluru. Role Description: We have an exciting opportunity to join our network infrastructure teams as an Optical Network Engineer working on Backbone Network capacity deployment. This role will be focused on network deployment (IP, optical), and network operations (decommissioning, retrofitting, capacity upgrades, migrations, etc). We are looking for individuals with experience in routing/switching, deployment, optical, and leadership experience. This is a fast paced environment and we are looking for someone who is organised, can multi-task and enjoys working in a team environment. Responsibilities: Configuration, build, roll-out and testing of new DWDM line systems deployments, calibration, verification, BERT, etc. Deployment and commissioning of Optical devices such as Ciena and Infinera in new PoPs and Datacenter builds. Develop & update documentation, work cross functionally to develop and enhance network design & production workflows. Analyze data to diagnose and identify root causes to network and tooling issues. Analyze and improve efficiency, scalability, and stability of various system resources. Qualifications/Skills: Ciena 6500 knowledge and experience is required Ciena and/or Infinera certifications or equivalent experience is highly desirable. Expert working knowledge on DWDM components such as ROADM, Mux/Demux, Amplifiers, Transponders. Channel creation, optimization. Experience in Chassis installation, line cards installs PCR's and structure fiber installation Experience in device installation and testing, software/firmware upgrade, re-bootstrapping and decommission. Experience in network optimization (re-stripes, migrations, upgrades, swaps, capacity upgrades). Creating Bill of Materials and JSN's, (Job Start Notification) for deployments and upgrades. Excellent experience in maintaining documentation and teamwork. Excellent troubleshooting and communication skills. CCNA/JNCIA or equivalent knowledge. Strong knowledge of TCP/IP Strong understanding and preferably hands own experience in commonly used routing protocols (OSPF, BGP, MPLS) Multivendor testing and support experience. Demonstrated ability to analyze complex situations and utilize troubleshooting skills, systems and tools, and creative problem-solving abilities under pressure. Solid understanding and configuration experience of Channel builds and cross-connect builds. Good knowledge on DWDM testing methods and tools. Solid understanding of fiber-optic technology including cable types, connector types, optic types, patch panels, and optical transport technologies. Strong attention to detail with excellent time management and organization skills. · Keywords: POP, Datacenter, Network Deployment, DWDM, fiber optic, installation, optical, wavelength, channel, modulation, Ciena.

Cognos Administrator (Python) Duration: Contract (12-24 months of contract) In this contingent resource assignment, you will consult on or participate in moderately complex initiatives and deliverables within Infrastructure Engineering. You will contribute to large-scale planning related to Infrastructure Engineering deliverables, review and analyze moderately complex challenges requiring an in-depth evaluation of variable factors, and collaborate with client personnel to meet deliverables while adhering to policies, procedures, and compliance requirements. Responsibilities: Consult on or participate in moderately complex initiatives and deliverables within Infrastructure Engineering. Contribute to large-scale planning related to Infrastructure Engineering deliverables. Review and analyze moderately complex Infrastructure Engineering challenges requiring an in-depth evaluation of variable factors. Collaborate with client personnel in Infrastructure Engineering. Contribute to the resolution of moderately complex issues while leveraging a solid understanding of function policies, procedures, and compliance requirements. Qualifications: 4 years of Technology Infrastructure Engineering and Solutions experience or equivalent demonstrated through work, consulting experience, training, military experience, or education. Experience as a Senior Level Cognos Administrator familiar with installation on Windows. Understanding of Apache. Proficiency in Python coding. Experience with GitHub is preferred. Understanding of Windows and basic knowledge of networks. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ***************** At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $55 - $60 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at ***************. To report any concerns, please email us at *******************

Senior Agent Systems Engineer We're representing a frontier AI research group building autonomous systems that can reason, plan, and operate complex real-world engineering workflows. This is a core engineering role shaping how intelligent agents interact with tools, data, and long-horizon tasks. ⭐ The Opportunity Join a small, high-performing team designing the orchestration, planning, and execution layer that enables LLM-driven agents to reliably complete multi-step engineering processes. What You'll Do Build agent planning and orchestration systems that coordinate tool calls, workflows, and long-horizon tasks Design schemas, action interfaces, and deterministic execution flows Implement robust error-handling, rollback, retry, and reproducibility strategies Own the tooling logic that connects agents to real engineering stacks Partner with ML researchers, infra teams, and domain experts to deliver production-grade agent systems What You Bring Experience building agent systems, orchestrators, tool-use frameworks, or structured LLM pipelines Strong systems-engineering fundamentals - deterministic thinking, reliability, and failure-mode awareness Comfort designing workflows that integrate with complex real-world tools Ability to work in a fast, experimental environment where robustness matters Why This Role Excites People Build agent systems that control real physical-world workflows, not just simulations Huge scope for technical ownership and creative problem-solving Mission-driven environment focused on breakthrough autonomy Competitive salary + strong equity in a fast-scaling AI organization Interested? If you're passionate about building reliable, intelligent agent systems at the cutting edge of AI and autonomy, we'd love to speak.

We are building a general AI for humanoid robots that learns in the real world with minimal human supervision. Our approach is based on world-model-based reinforcement learning trained on large-scale data that is practical to collect. This makes it possible to learn reliable behaviors and improve beyond human performance limits. As a founding engineer, you will design and build core systems while helping shape the technical direction from the ground up. Responsibilities Build data pipelines that scale to 100k+ hours of multimodal robot data Scale pre- and post-training runs on 1000s of GPUs Improve inference efficiency on low-power embedded systems Lead core architectural decisions, help define the long-term technical roadmap, and set engineering standards from the beginning Qualifications Strong practical experience building software infrastructure Experience implementing and debugging distributed systems Extensive experience in Python and at least one deep learning library such as PyTorch or JAX Ideally experienced in implementing scalable training pipelines for world-model-based RL Experience with systems programming languages (e.g. Rust, C++) is a plus We're a small, focused team where your contributions would have a major impact. As a founding team member, you'd also have significant ownership in what we're building together - we believe in giving our early engineers meaningful equity that reflects their foundational role.

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.

Responsibilities: Provide approximately 20 hours per week professional and friendly support and problem solving in person and remotely. Recognize opportunities for technology improvements, make suggestions, and lead projects. Requirements: College graduate Excellent interpersonal skills Ability to develop good rapport, enjoy working with people Excellent written and verbal skills Strong problem solving, organization and analytical skills Ability to work independently, with team and with clients in a professional manner Superb client management, expectation management, negotiation, and conflict resolution skills Excellent organization, initiative, follow-up, and communication skills Strong motivation to exceed goals Enthusiasm for technology and creative solutions Ability to work flexible hours Prior IT support experience, experience with conference room and office technology, network devices Self-starter and self-motivated Eagerness to learn Benefits: Friendly, fast-paced working environment Great opportunity to work closely with experienced IT consultants Exposure to wide variety of cutting edge technologies. Opportunity to share and act on innovative ideas. Compensation: Part-time, Hourly compensation Work primarily remotely, with 1/2 day on-site per week. This is a great opportunity for someone with a flexible schedule and prior IT support experience. If you are interested in being part of a fun team, can work independently, and meet the qualifications listed above you will be a great fit for this position. Please email resume and cover letter to above address even if the ad is a few weeks old, we still want to hear from you!

Senior Agent Systems Engineer We're representing a frontier AI research group building autonomous systems that can reason, plan, and operate complex real-world engineering workflows. This is a core engineering role shaping how intelligent agents interact with tools, data, and long-horizon tasks. ⭐ The Opportunity Join a small, high-performing team designing the orchestration, planning, and execution layer that enables LLM-driven agents to reliably complete multi-step engineering processes. What You'll Do Build agent planning and orchestration systems that coordinate tool calls, workflows, and long-horizon tasks Design schemas, action interfaces, and deterministic execution flows Implement robust error-handling, rollback, retry, and reproducibility strategies Own the tooling logic that connects agents to real engineering stacks Partner with ML researchers, infra teams, and domain experts to deliver production-grade agent systems What You Bring Experience building agent systems, orchestrators, tool-use frameworks, or structured LLM pipelines Strong systems-engineering fundamentals - deterministic thinking, reliability, and failure-mode awareness Comfort designing workflows that integrate with complex real-world tools Ability to work in a fast, experimental environment where robustness matters Why This Role Excites People Build agent systems that control real physical-world workflows, not just simulations Huge scope for technical ownership and creative problem-solving Mission-driven environment focused on breakthrough autonomy Competitive salary + strong equity in a fast-scaling AI organization Interested? If you're passionate about building reliable, intelligent agent systems at the cutting edge of AI and autonomy, we'd love to speak.

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.