Lead and build a forward‑deployed security architecture organization that drives secure engineering practices across software, cloud, AI, and OT teams.
Compensation
The annual base pay for this position ranges from $169,320.00 - $222,232.50 USD.
Responsibilities
Lead Secure by Design Cybersecurity Adoption
Partner directly with engineering teams to reduce security‑related friction and improve usability
Increase self‑service consumption of cybersecurity capabilities
Help teams navigate complex application, cloud, platform, AI, data, and OT security challenges
Advise teams building AI‑enabled applications and agentic systems
Requirements
Bachelor's degree in computer science, engineering, information technology, cybersecurity, or a comparable discipline
Nice to have: familiarity with OT/ICS security
Nice to have: experience in regulated industries such as pharmaceuticals, life sciences, healthcare, critical infrastructure, advanced manufacturing
Lead product development for developer-focused hardware and software systems, balancing engineering realities with customer impact and market adoption.
Locations (2)
Santa Clara, California, United States
Toronto, Ontario, Canada
Compensation
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Responsibilities
Define, build, and prove a product in the market
Balance engineering realities with customer impact and market adoption
Guide teams through tradeoffs with the developer in mind
Support the product throughout its entire lifecycle
Work directly with developers in the wild and make their feedback count
Software Engineer to work on Bugbot, an AI code reviewer
Locations (2)
San Francisco, California, United States
New York, New York, United States
Compensation
Annual Salary: $140,000 - $225,000 USD
Responsibilities
Launch new Bugbot features end-to-end from defining the feature and building the UI to wiring up the backend and iterating on model behavior so that each release meaningfully improves code review quality
Evolve the review pipeline adapting prompting strategies, model routing, context selection, and agent orchestration to take advantage of new capabilities while managing cost and latency
Build integrations that embed Bugbot into every engineer's workflow making AI-assisted review a seamless, default part of the development loop
Own product quality and reliability monitor precision and recall, triage false positives, improve observability across the review pipeline, and ensure Bugbot earns trust with every review it posts
Senior Software Engineer - Internal AI Agent Infrastructure
Build and maintain an internal cloud agent platform that enables Qualtrics engineers to use AI agents on company infrastructure, supporting new GitLab instances and governing MCP integrations.
Compensation
For full-time positions, this pay range is for base per year; however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer.
Responsibilities
Design and implement new platform features based on engineering needs and feedback
Expand platform access by supporting new GitLab instances and repositories
Manage and govern MCP Gateway integrations
Partner with security team to ensure compliance and admin controls
Identify bottlenecks and improve platform reliability
Build tools that help engineers develop, understand, and diagnose complex software systems.
Compensation
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.
Responsibilities
Design, build, and maintain engineering tools that help developers understand and diagnose complex software systems.
Build tooling that brings together logs, telemetry, events, faults, diagnostics, and system state to make system behaviour easier to investigate.
Build C++ and Python applications, libraries, services, and integrations that interact with complex onboard and distributed software systems.
Create tools that correlate information across software components, processes, and machines to help engineers understand what happened and where to investigate.
Build user interfaces and interactive visualisations using React and modern web technologies to explore system behaviour and engineering data.
Build the foundation other engineers stand on, including service frameworks, shared libraries, observability, and resilience for Nominal’s mission-critical software.
Responsibilities
Build service frameworks and shared libraries for Nominal services
Lead site reliability and developer experience teams responsible for production infrastructure, Kubernetes-based services, and developer tooling and automation.
Compensation
Armenia: 27,450,000 AMD - 39,750,000 AMD annually
Responsibilities
Lead, hire, and develop engineers across site reliability and developer experience teams.
Develop and complete technical roadmaps that balance platform capabilities, developer efficiency, reliability, security, technical debt, and operational demand.
Oversee the operation and evolution of production application infrastructure, ingress and routing services, and Kubernetes-based workloads.
Establish effective service ownership, on-call coverage, incident response, operational documentation and runbooks, cross-location handoffs, and blameless post-incident reviews.
Drive safe, repeatable releases through deployment automation, configuration management, post-deployment validation, rollback capabilities, and structured process improvements.
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