• Set up, adjust, and verify AI factory environments across multi-GPU and multi-node Linux clusters. • Ensure configurations align with guidelines for NCCL, collectives, and distributed training frameworks. • Own the execution of key AI/LLM benchmarks, including setup, orchestration, result collection, and analysis. • Investigate and resolve issues when training jobs or benchmarks fail, hang, or underperform. • Build and improve observability for AI factories (metrics, logs, traces, dashboards) to understand workload behavior and system health. • Develop automation (Python, Shell) for running benchmarks, collecting results, and performing regression checks • Examine communication patterns and NCCL usage for AI/LLM workloads, concentrating on collectives such as AllReduce and AllToAll. • Recommend changes to job configuration, parallelism strategies, and cluster settings to improve throughput, latency, and scaling efficiency. • Work closely with hardware, software, networking, datacenter, and product teams to prepare AI factories for customer use. • Contribute to documentation, guidelines, and readiness collateral that support internal collaborators and customer-facing teams.

• NVIS Data Center deployment planning: Collaborate with product and engineering groups to understand NVIDIA’s reference architectures for data center infrastructure, encompassing power distribution, cooling systems, controls and monitoring, and network/cabling layout. • Assist customers and partners in quickly integrating this architecture into sophisticated and dependable data center projects. • Build and construction oversight: Review and appraise customers' and partners' infrastructure build plans, verifying their compliance with NVIDIA reference architecture, industry standards, and regulatory requirements. • Deliver mentorship, expertise, and suggestions to optimize performance, scalability, and cost-effectiveness. • Ensure collaboration with our customers and partners on reference architecture, guidelines, and processes to support their successful deployments. • Analyze the operational efficiency, reliability, and readiness of data center infrastructure components before launching AI/HPC clusters. • Prepare and complete comprehensive audit plans and conduct pre-deployment audits to detect potential issues, risks, and areas for improvement. • Work in close partnership with engineering, product, infrastructure, and customer-facing groups to guarantee consistency on reference architecture, deployment standards, and readiness criteria. • Quality Assurance: Implement and make quality assurance processes to ensure that deployments meet established specifications and performance benchmarks. • Conduct detailed bring-up, testing, and commissioning to validate the functionality and reliability of infrastructure components. • Continuous Improvement: Drive continuous improvement initiatives to improve reliability, resilience, and sustainability. • Find opportunities to streamline processes, automate repetitive tasks, and apply new technologies to optimize infrastructure operations. • Collaboration and Communication: Cooperate and exchange information across internal teams, external vendors, and customers to guarantee the smooth integration of data center infrastructure solutions. • Serve as a subject matter expert and main contact for infrastructure-related inquiries and urgent issues.

• Primary responsibilities will include deploying, managing, and validating AI/HPC infrastructure in Linux-based environments for first of kind NVIDIA hardware. • Be the domain authority with NVIDIA design engineering teams and external customers during planning calls through implementation. • Create and handover related documentation and perform knowledge transfers required to support customers as they roll out some of the most sophisticated systems in the world! • Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

Role Description Verkada is seeking a proven Federal Solution Engineer (remote) with expert experience in Cloud, Security, IoT, Networking, Hardware and software. This individual will work directly with Federal AE’s helping expand the Verkada footprint across the Federal Government. Responsibilities include: - Directly interfacing with customers throughout the sales process. - Overcoming technical objections. - Assisting customers in designing deployments with Verkada Products. - Providing technical assistance to territory account reps. The ideal candidate will be a team player, self-motivated, growth-minded, quick learner, and someone who loves being a key contributor and member of a fast-paced environment with a great culture. Clearance is not required. What You'll Do - Technical Leader: Be the subject matter authority on the full Verkada suite of products and offerings and articulate the value added benefits to customers throughout the sales process. - Objection Handler: Overcome objections and defuse landmines while securing the technical win for Verkada. - Evangelist: Effectively present the Verkada solution to all levels of customer, from C-level executives to loss prevention managers and directors of IT. Be a Product Technical Evangelist in training/educating partners, customers, and internal employees on the latest Verkada product offerings. This role requires regular travel, estimated to be more than 50% of the time, including both domestic and international destinations as needed. The successful candidate must be comfortable with frequent travel to support business operations, customer and partner engagements, and team collaboration. Qualifications - 3+ years of experience as a Sales Engineer, with a proven track record of working with Fortune 500 companies. - Outstanding written and verbal English communication skills in order to clearly and efficiently articulate technical matters with customers and partners. - Bachelor's degree in relevant technical or security field from an accredited university. - Strong background in Networking: HTTPS, VLANs, TCP/IP, DNS, NAT devices, DHCP and Firewalls. Requirements - Bonus: Industry certifications: AWS, CCNA, CCDA, CCNP, MCSE, CEH, Security+, A+, Network+, Microsoft Azure, CISSP, CSP. - Experience working with Active Directory, SAML/SCIM, API's, Python, and other coding languages is a plus. - Startup experience. Benefits - Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans. - Nationwide medical, vision and dental coverage. - Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options. - Expanded mental health support. - Paid parental leave policy & fertility benefits. - Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time. - Professional development stipend. - Fertility Stipend. - Wellness/fitness benefits. - Healthy lunches provided daily. - Commuter benefits. Additional Information You must be independently authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment visa for this role, at this time. At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs). Estimated Annual Pay Range: $155,000 — $210,000 USD. Equal Opportunity Employer As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. Your application will be handled in accordance with our Candidate Privacy Policy.