The Senior Lead, TA & PX Systems Administration supports Shield AI's entire Talent Acquisition technology ecosystem, including the ATS, CRM, sourcing tools, and other recruiting technology, along with third-party HR technology such as Lattice, Pave, Compa, and Carta.
Responsibilities
Partner with People Technology leadership to build and maintain the roadmap for TA and HR technology, aligned with TA and PX priorities and Shield AI's growth plans, and lead execution of roadmap initiatives.
Support the full TA technology ecosystem, including the ATS, CRM, sourcing tools, scheduling, assessments, background check, interview intelligence, and related recruiting technology.
Personally administer, configure, and continuously optimize Ashby as Shield AI's ATS and CRM, including approvals, offers, requisitions, pipelines, interview plans, scheduling logic, scorecards, custom fields, and reporting objects.
Administer and support third-party HR technology, including Lattice, Pave, Compa, and Carta, covering configuration, permissions, integrations, and upgrade management.
Support TA and HR technology vendor management, evaluations, and renewals.
Lead automated testing and MLOps quality for Hivemind autonomy platform.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Own technical strategy, architecture, and roadmap for automated testing, verification, and MLOps quality across the Hivemind ecosystem.
Design and maintain scalable test frameworks for autonomy software, backend services, APIs, operator-facing applications, and distributed hardware environments.
Lead functional, integration, regression, system, performance, reliability, and end-to-end testing across simulation, edge-compute, software-in-the-loop, and hardware-in-the-loop environments.
Build automated ML validation pipelines covering data quality, training reproducibility, model accuracy, robustness, regression, latency, resource utilization, and system integration.
Establish CI/CD and continuous training workflows that provide versioning and traceability for datasets, models, configurations, evaluation results, and deployment artifacts.
Requirements
Bachelor's degree in Computer Science or related field
A frontend-leaning Software Engineer I/II to join the Viewer team and build user-facing features that reach millions of people worldwide using React, JavaScript/TypeScript, and Python.
Compensation
The base salary range for this position is $130,000 - $165,000 annually
Responsibilities
Design, develop, and maintain user-facing features using React, JavaScript/TypeScript, and Python
Write clean, maintainable, and well-tested code
Collaborate with engineers, product managers, designers, and QA to build and improve features
Participate in code reviews, debugging, and troubleshooting
Contribute to technical discussions and help identify solutions to engineering challenges
Requirements
Bachelor's degree in Computer Science or a related field (or equivalent practical experience)
A founding role focused on building systems, training models, and owning end-to-end infrastructure to turn human interaction data into high-quality training signals for frontier AI labs.
Compensation
Competitive compensation + equity
Responsibilities
Build systems and train models for frontier multi-modal research
Design and scale infrastructure that turns user behavior into high-quality training signals
Optimize internal pipelines using GPU resources and proprietary data
Collaborate with leading AI labs to create benchmarks and reward models
Open-source and publish portions of work to support the community
Requirements
Nice to have: Publication track record
Nice to have: Experience with speech-to-text models
Support the technical solution development process from conception through implementation in the banking sector, working in coordination with Product Owners, development, and architecture teams.
Responsibilities
Translate business requirements into functional and non-functional requirements, and subsequently into actionable system specifications
Ensure the quality, completeness, and consistency of the requirements specification
Supporting stakeholders in clarifying business and technical issues and fostering a shared understanding
Overseeing implementation and end-to-end testing to ensure solution quality
Defining test cases with UAT
Requirements
Degree in computer science
Degree in business administration
Nice to have: University or university of applied sciences degree
A high-level technical role focused on leading architecture and designing scalable distributed systems using Java, Spring Boot, and AWS, while integrating AI-powered capabilities.
Compensation
The anticipated compensation range for this position is - $136,100 - $147,800 CAD- annually.
Responsibilities
Lead the architecture and design of scalable, highly available, fault-tolerant distributed systems using Java, Spring Boot, microservices, and AWS.
Drive end-to-end system design, including API contracts, data modelling, service boundaries, integration patterns, and deployment architecture.
Apply Domain-Driven Design (DDD), event-driven architecture, object-oriented principles, and established design patterns.
Design and optimize RESTful APIs, asynchronous messaging systems, and event-driven integrations using Kafka and other messaging technologies.
Make architectural decisions involving scalability, consistency, performance, reliability, security, and cost optimization.
Requirements
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Project – Requirements Engineer, BankingNewNAXCON GmbH · Bern, Switzerland