Stack AV

• Manage the execution and communication of major, high-stakes cross-functional programs that require end-to-end alignment across the entire organization. • Develop and maintain comprehensive technical roadmaps and tactical schedules, balancing near-term delivery milestones with Stack’s long-term commercial autonomy vision. • Build deep, trust-based relationships with diverse cross-functional stakeholders to align engineering teams, push technical paths forward, and unify the organization around shared goals. • Analyze plans and requirements with engineering leads to uncover opportunities, challenge assumptions, and safely accelerate the development and deployment schedule. • Evaluate complex technical and resource trade-offs in constrained environments, framing clear choices and recommendations for leadership. • Synthesize granular technical progress into high-impact insights for senior leadership, delivering data-driven arguments that help executives make difficult decisions in reviews and all-hands. • Design and scale engineering processes within your programs, establishing operational frameworks that reduce friction and elevate efficiency across the broader organization. • Explore new, highly complex technical domains as needed, stepping in proactively to fill leadership, execution, or process gaps to ensure program success.

• Instrument systems scheduling and executing large-scale batch workloads across Kubernetes clusters. • Diagnose and triage job failures for customers. • Collaborate with teams across the company to understand workload requirements and improve platform capabilities. • Scale the reliability and velocity of our systems and processes through increased automation. • Document actions to build a comprehensive library of runbooks, which will act as a knowledge base and foundation for automation. • Participate in an on-call rotation to uphold the SLOs and SLAs of production services. • Contribute to platform tooling, automation, and CI/CD workflows.

Role Description Stack AV Site Reliability Engineers are responsible for enabling and ensuring our production systems meet their service-level objectives. Through the implementation of centralized observability and automation, the SRE team constantly ensures the health, reliability, scalability, and performance of Stack AV’s infrastructure. Members of the team are expected to contribute to a culture of continuous learning, provide consultation on architecting for high-availability, and ultimately drive the uptime and performance of our systems. Responsibilities - Monitor and maintain mission-critical production services to ensure maximum uptime. - Design and implement scalable distributed systems to facilitate the development of self-driving vehicles. - Design and implement an incident management framework and build a culture of blameless postmortems and continuous learning. - Scale the reliability and velocity of our systems and processes through increased automation. - Document actions to build a comprehensive library of runbooks, which will act as a knowledge base and foundation for automation. - Participate in an on-call rotation to uphold the SLOs and SLAs of production services. Qualifications - Expertise in at least one scripting language (e.g. Bash, Python). - Fundamental understanding of Linux operating system internals, TCP/IP networking, and storage subsystems. - Experience scaling and securing services in the cloud (AWS, GCP) or cloud native environments. - Experience using infrastructure-as-code principles to automate the creation of infrastructure resources (e.g. Terraform, CloudFormation). - Understanding of engineering design limitations and ability to provide guidance to teams to scale their services to achieve desired performance within budget. - Strong experience implementing and debugging cloud native and open source tools such as Kubernetes, etcd, Prometheus, OpenTelemetry, and Istio. - Strong communication skills and the ability to work effectively in a diverse and distributed team. Company Description Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.

• Design and operate distributed systems for scheduling and executing large-scale batch workloads across Kubernetes clusters. • Build and maintain compute platform abstractions. • Optimize utilization of compute resources. • Develop and improve multi-tenant scheduling strategies. • Improve reliability and fault tolerance of large-scale distributed jobs and platform components. • Collaborate with teams across the company to understand workload requirements and improve platform capabilities. • Contribute to platform tooling, automation, and CI/CD workflows.

• Design and operate distributed storage systems for scheduling and executing large-scale batch workloads. • Build and maintain an open source, modern data platform. • Optimize utilization of storage resourcesImprove reliability and fault tolerance of large-scale storage systems and data platform components. • Collaborate with teams across the company to understand workload requirements and improve platform capabilities. • Contribute to platform tooling, automation, and CI/CD workflows.

• Own technical design and delivery of subsystems in a high-throughput, low-latency inference platform capable of handling multi-tenant, enterprise-grade inference workloads. • Develop robust API layers (gRPC, WebSockets, REST, etc.) and developer SDKs that abstract complex distributed inference orchestration into seamless, reliable token streams. • Build and harden a multi-tenant control plane to enable accurate metering, rate limiting, quotas, tenant isolation and noisy-neighbor fairness across the platform. • Optimize inference performance across the entire system stack, including the model engine layer. • Build observability and SLOs to gain insights into system economics, cache-hit rates, GPU utilization and cost accounting per model and per tenant. • Partner with product and infrastructure teams on model onboarding, capacity planning, external API contracts and customer adoption. • Decompose ambiguous work, drive issues to closure, and raise the engineering bar through code quality, reviews, testing, and mentoring.

• Design platform architecture for multi-tenant inference workloads across serving, orchestration, control plane, APIs, SDKs, observability, and model-engine integration. • Develop robust API layers (gRPC, WebSockets, REST, etc.) and developer SDKs that abstract complex distributed inference orchestration into seamless, reliable token streams. • Build and harden a multi-tenant control plane to enable accurate metering, rate limiting, quotas, tenant isolation and noisy-neighbor fairness across the platform. • Optimize inference performance across the entire system stack, including the model engine layer. • Build observability and SLOs to gain insights into system economics, cache-hit rates, GPU utilization and cost accounting per model and per tenant. • Partner with product and infrastructure teams on model onboarding, capacity planning, external API contracts and customer adoption. • Promote Engineering Excellence: Maintain a high bar for engineering excellence in their own work but also set a culture of engineering excellence within the team.

• Develop new cyber detections for threats and other uses cases using our SIEM and other security tooling. • Develop automated processes for triaging security incidents and incident response in general. • Assesses software and service requests from within the organization. • Deploy and develop solutions to better secure Stack AV’s infrastructure, data, and people. • Conduct and/or arrange vulnerability and other security assessments on Stack’s infrastructure. • Respond to security incidents and drive the effort to mitigate and/or remediate findings.

• Ensure all pilot and test missions comply with Department of Transportation (DOT) and Federal Motor Carrier Safety Administration (FMCSA) regulations, as well as state-specific autonomous vehicle (AV) testing and deployment mandates. • Establish and maintain standard operating procedures for freight disruptions, weather delays, and operational exceptions, ensuring minimal impact on customer supply chains. • Identify operational bottlenecks and implement process improvements to lower unnecessary dwell time and delays on route. • Oversee day-to-day freight movement for commercial pilot partners, ensuring delivery SLA is met and seamless hub-to-hub operations achieved. • Act as a primary operational point of contact for pilot customers. Conduct regular operational reviews, provide performance metrics, and translate customer feedback into operational workflows. • Partner with the product and engineering teams to provide operational feedback, helping to shape the internal dispatching tools, driver scheduling, asset and service tracking, and freight management software.

• Execute deep-dive "detective work" to surface passive specialists in niche technical domains that traditional search methods often overlook. • Identify and engage elite talent by crafting high-signal outreach that communicates Stack AV’s unique commercial progress and safety culture. • Bridge the gap on immediate, critical engineering needs by delivering high-quality pipelines for roles that are currently prioritized. • Utilize a sophisticated tool stack and advanced techniques to find talent where others aren't looking. • Partner with recruiters and hiring managers as a technical peer to refine candidate personas and map out where the best niche talent is currently hidden. • Lead the adoption of the latest outreach techniques and tools, teaching the broader team how to improve engagement with elusive candidates. • Prepare for future commercialization phases by talent mapping and building "ready-now" pipelines for upcoming business needs.