Work closely with robotics customers and Ethernovia engineering teams to develop optimized system-level connectivity architectures.
Compensation
The annual salary range for this position is $200,000 - $275,000. The compensation package will also include incentive compensation in the form of pre-IPO ISO options, in addition to base salary and a full range of medical and other benefits.
Responsibilities
Develop end-to-end connectivity architectures for humanoid, mobile, and industrial robots.
Define networking solutions connecting AI processors, cameras, sensors, controllers, and distributed computing nodes.
Create system-level block diagrams, connectivity blueprints, and reference architectures.
Optimize designs for bandwidth, latency, determinism, power, cost, and reliability.
Work directly with robotics OEMs to understand requirements and recommend solutions.
Lead the technical strategy and team for reinforcement learning and agentic post‑training of LLM‑based agents in supply chain software.
Responsibilities
Lead the technical strategy for reinforcement learning, post‑training, and tool‑using LLM agents within the AI Studio.
Build and manage a team of machine learning engineers working on agent training, RL environments, reward modeling, evaluation, data generation, and training infrastructure.
Design environments where LLM agents learn to operate Blue Yonder software through APIs, tools, workflows, simulations, and human feedback.
Develop training and evaluation systems for multi‑step supply chain workflows across planning, warehouse management, transportation, commerce, and network operations.
Define what "good" looks like for operational agents: correct tool use, constraint adherence, business outcome quality, latency, cost, robustness, escalation behavior, and human trust.
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
Design and build the AI data layer for a multi-cloud GPU fleet, build high-throughput data paths, make data a first-class part of the compute platform, own quotas, capacity and data lifecycle, measure workloads, own reliability.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
Responsibilities
Design and build the AI data layer for a multi-cloud GPU fleet
Build high-throughput data paths for training and RL
Make data a first-class part of the compute platform
Own quotas, capacity and data lifecycle across hundreds of research teams
Measure how workloads use data
Requirements
BS or MS in Computer Science, Computer Engineering, Electrical Engineering or a related field, or equivalent experience
Define how Unity understands and moderates the content flowing through its ad network, leading multimodal ML strategy and production systems.
Compensation
Base Salary Range: ¥831,400 - ¥1,247,000 CNY gross
This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions).
Responsibilities
Define the multimodal content representation strategy across video, image, playable, audio, and text
Partner with product, engineering, science teams to translate regulatory and contractual obligations into measurable ML objectives
Define evaluation and labeling infrastructure for scarce, noisy, contested labels
Build shared foundations such as content embeddings, game level features, evaluation harnesses, and labeling pipelines
Lead architectural direction across teams, raise design and review bar, and mentor senior and mid-level engineers
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