Own the strategy and roadmap for a significant Fleet Operations product area
Lead multi-sprint, cross-functional initiatives from problem framing through rollout across live GPU clusters
Turn operational ambiguity into product: shadow on-call rotations, ride along with support and repair workflows, and translate recurring toil into tooling, automation, and platform capabilities
Define the metrics that matter for a GPU fleet — availability, utilisation, MTTR, time-to-bring-up, hardware failure rates, support ticket deflection — and drive the roadmap against them
Partner with engineering on architecture and trade-offs for systems that span bare metal, orchestration, observability, and control planes
Principal Software Engineer responsible for enabling customer adoption of SONiC-based AI and enterprise networking solutions, from POCs and deployment validation to complex escalations.
Responsibilities
Serve as the first line of escalation into engineering for support and pre-sales, troubleshooting customer issues and driving workarounds and planned resolutions.
Define and drive system-level validation strategies for complex SONiC-based AI and enterprise networking solutions, aligned with spec-driven and test-driven development (SDD/TDD), validating customer use cases, POCs, and end-to-end workflows across network infrastructure, fabric orchestration, servers, storage, and telemetry.
Investigate complex customer-reported issues across SONiC software, networking protocols, platform components, and orchestration systems, including link-level errors and retransmit behavior, closing field escapes through triage, debugging, and closure.
Provide technical leadership across customer engineering, system test, product management, and software development organizations.
Drive architectural reviews, identify solution gaps, and influence product engineering roadmaps based on customer deployment requirements, translating customer feedback and field learnings into engineering improvements using Python, SpyTest automation, and AI agents that improve execution efficiency, impact, and value.
Requirements
Bachelor’s or Master’s degree in Engineering in CSE, ECE, EEE, IT, Computer Networks, Cloud Computing, or equivalent
Software Principal Engineer - System Test & Customer Solutions Validation
Principal Software Engineer responsible for enabling customer adoption of SONiC-based AI and enterprise networking solutions, from POCs and deployment validation to complex escalations.
Responsibilities
Serve as the first line of escalation into engineering for support and pre‑sales, troubleshooting customer issues and driving workarounds and planned resolutions.
Define and drive system‑level validation strategies for complex SONiC‑based AI and enterprise networking solutions, aligned with spec‑driven and test‑driven development (SDD/TDD), validating customer use cases, POCs, and end‑to‑end workflows across network infrastructure, fabric orchestration, servers, storage, and telemetry.
Investigate complex customer‑reported issues across SONiC software, networking protocols, platform components, and orchestration systems, including link‑level errors and retransmit behavior, closing field escapes through triage, debugging, and closure.
Provide technical leadership across customer engineering, system test, product management, and software development organizations.
Drive architectural reviews, identify solution gaps, and influence product engineering roadmaps based on customer deployment requirements, translating customer feedback and field learnings into engineering improvements using Python, SpyTest automation, and AI agents that improve execution efficiency, impact, and value.
Requirements
Bachelor’s or Master’s degree in Engineering in CSE, ECE, EEE, IT, Computer Networks, Cloud Computing, or equivalent
Principal Software Engineer responsible for system and solution-level validation of SONiC-based AI and enterprise networking platforms.
Responsibilities
Design and execute system and solution-level validation, translating product requirements, architecture documents, and specifications into comprehensive test plans and cases aligned with spec-driven and test-driven development (SDD/TDD).
Validate use-case and solution-centric functional, performance, resiliency, interoperability, and end-to-end scenarios at multidimensional scale, including RoCE and lossless-fabric behavior under congestion (PFC, ECN, link-level retransmission, and retransmits).
Track link-level health across test runs and releases, including error counters, link flaps, and FEC and CRC trends.
Build and improve Python and SpyTest automation and AI agents that improve execution efficiency, impact, and value, accelerating CI/CD pipelines and test coverage.
Analyze logs, telemetry, packet captures, and system behavior to identify root causes, close field escapes, and resolve complex issues through triage and closure.
Requirements
Bachelor’s or Master’s degree in Engineering in CSE, ECE, EEE, IT, Computer Networks, Cloud Computing, or equivalent
Nice to have: SpyTest
Nice to have: spec-driven or test-driven development (SDD/TDD)
Nice to have: server and storage environments
Nice to have: data analysis for trend and escape analysis
The Low Latency Trading Infrastructure Engineer designs, delivers, and sustains ultra-low latency infrastructure for Citi's Global Equity Markets technology organization, focusing on engineering deterministic performance at nanosecond precision.
Compensation
$138,720.00 - $208,080.00
Responsibilities
Design low-latency compute topologies including bare-metal servers, NICs, kernel bypass technologies such as DPDK and Solarflare, and FPGA/co-location hardware
Evaluate CPU microarchitecture, NUMA topology, cache behavior, and memory bandwidth characteristics for trading workloads
Define hardware and firmware standards in partnership with vendors including Dell, HPE, Mellanox/NVIDIA Networking, Arista, Cisco, and Juniper
Design and maintain custom server build patterns tailored to the low-latency trading platform
Establish and enforce standards for low latency Linux, Windows, and Microservice infrastructure, including OS optimization, kernel bypass technologies, and CPU isolation
Lead the design and delivery of networking software for Radiant’s AI-native cloud platform, driving technical vision, architecture, and operational excellence.
Responsibilities
Set the technical vision and architecture for Radiant's networking software
Design and build the control plane for cluster fabrics and Managed Networks
Translate product and customer requirements into robust architectures, APIs, and technical designs
Own network performance, isolation, and reliability for AI training and inference workloads
Lead integration of networking with compute, Kubernetes, storage, security, and observability
Nice to have: Experience with SONiC and SpyTest, network test automation, deployment validation, and customer-focused solution demonstrations
Nice to have: Experience building or using AI agents and AI-assisted workflows (AI models and tools, for example Claude, Devin, GitHub Copilot) for troubleshooting, solution analysis, automation, and customer issue investigation
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