Support mission‑critical intelligence operations by modernizing analytic tradecraft and integrating advanced methodologies into customer mission sets.
Compensation
The pay range for this position is: $120,000 - $160,000
Responsibilities
Develop advanced analytic methods and solutions that transform complex intelligence data into meaningful insights for mission stakeholders
Design and implement analytic processes that enable analysts to identify patterns, trends, and operational opportunities across large, diverse datasets
Apply modernization techniques to solve challenging mission problems while improving the efficiency, repeatability, and rigor of analytic workflows
Lead complex engineering programs across multiple teams, turning broad technical goals into clear plans and driving implementation, adoption, and reliable operation.
Locations (2)
San Francisco, California, United States
New York, New York, United States
Compensation
For this role, the expected base salary range is $180,000 to $250,000. Comp may vary by location. Profound's total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks.
Responsibilities
Lead cross-team technical programs from initial scoping through rollout and adoption
Work with engineering leads to understand system dependencies, sequence work, and build realistic plans
Turn ambiguous requirements into concrete decisions and deliverables
Coordinate platform migrations and adoption of shared capabilities
Partner with Product, Security, and other stakeholders to align technical delivery
Requirements
Senior Principal, Value Creation, Americas, Google Cloud
Lead value creation initiatives for Google Cloud across the Americas, driving business growth, cost optimization, and AI-enabled value for enterprise customers.
Security Engineer responsible for technical security controls across the platform, cloud infrastructure, and corporate environment, focusing on detection, response, application security, IAM, and vulnerability management.
Compensation
The expected base salary range is $200,000 to $250,000 (NYC). Total compensation includes base salary, equity, and a full range of benefits and perks. Final compensation depends on skills, experience, qualifications, and location, and is set during the interview process. Our recruiting team will share the full package as you move through hiring.
Responsibilities
Learn environment and take ownership of focus area
Work with Infrastructure to close highest-risk gaps in AWS environment
Tune CI/CD and cloud scanning for accurate findings
Run and mature vulnerability management program
Triage and respond to findings from automated tooling, bug bounty reports, and third-party assessments
Lead complex, multi-disciplinary projects for data center operations, coordinating schedules, risks, and daily business rhythm across campus verticals.
Locations (14)
Kansas City, Missouri, United States
Claude, Texas, United States
Hutto, Texas, United States
Council Bluffs, Iowa, United States
Omaha, Nebraska, United States
Software Engineer, AI/ML, ML Infrastructure, Search Ads
Develop and document DFT strategy, architecture and test sequences, including hierarchical DFT, MBIST, ATPG and I/JTAG, and associated boot up and execution sequences.
Complete all Test Design Rule Checks (TDRC) and Design changes to fix TDRC violations to achieve high test quality.
Develop diagnostic databases, software and hardware for logic and memory fail debug.
Design and implement system level test strategy.
Implement core DFT circuitry, including insertion and hook-up of scan chains, DFT compression, Logic BIST, TAP controllers, and Memory BIST (MBIST) logic for IP blocks.
Requirements
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
Nice to have: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science
Design and build demos, courses, and technical guides that inspire developers and empower them to succeed with Cloud TPU using a combination of JAX, PyTorch, and open-source libraries for pre-training, post-training, and inference.
Design and build demos, courses, and technical guides that inspire developers and empower them to succeed with Cloud TPU using a combination of JAX, PyTorch, and open-source libraries for pre-training, post-training, and inference.
Engage in AI/ML technical communities and maintain a professional social media presence. Identify emerging trends, mentor developers, and foster community that amplifies Google’s TPU ecosystem.
Support product launches by creating reference implementations, code examples, and high-visibility content for social media or conferences (Cloud Next, Google I/O).
Act as "User Zero" and partner with product and engineering teams to improve the developer experience.
Be an advocate of the developer community and advocate for their needs. Provide product feedback, from initial design discussions and early testing to post-launch improvements.
Requirements
Bachelor's degree in Computer Science or a similar technical field
Nice to have: contributing to open-source projects
Nice to have: speaking at technical conferences
Nice to have: maintaining a professional social media presence
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