Forward Deployed Engineer San Francisco Bay Area, Remote AI Fund AI Fund / Full time / Hybrid Location: San Francisco United States Job Description: apply for this job Ayama has partnered with Andrew Ng's AI Fund and a Fortune 500 energy leader to use AI to reshape how $10+ Trillion of heavy assets operate, are managed, and are maintained. With electrification driving rapid growth in energy and reshoring accelerating the build out of U.S. electronics and IT manufacturing, the company plans to close critical gaps by raising asset uptime & output as well as staff productivity. Ayama is looking for a Forward Deployed Engineer to be the technical face of Ayama at our customers. The Forward Deployed Engineer is customer-facing every day. You work with customer end users and customer IT teams primarily remotely, with periodic on-site visits to customer operational sites for deeper engagement, training, and incident response. This is a 100% hands-on role split between customer engagement and code. You write Python and SQL daily, debug across systems you didn't build, configure Ayama for each customer's operational reality, and translate field observations back into product decisions. This is a full-time hybrid role located in the Bay Area. Additional locations will be considered in the Western US as long as you live within 30 miles of a major airport with daily flights to San Francisco. Some travel to customer sites will be required. There is no relocation package budgeted for this role. Responsibilities for the Role Include: - Own customer deployments end-to-end at the technical working level: daily operations, training, configuration, incident triage - Configure Ayama for new customers: enterprise system integrations, operational data mappings, asset hierarchy, customer-specific workflows - Debug customer-affecting issues end-to-end: read logs, trace through pipelines, patch in production, file precise root-cause reports for engineering - Scope and execute pilot deployments as Ayama brings on new customers - Translate field reality into structured product feedback that engineering can act on directly - Build customer-specific scripts, integration adapters, and small tools that don't belong in core product code Requirements For the Role Include: - 5+ years of hands-on software engineering experience - Daily Python fluency (Django/FastAPI preferred, transferable from Flask or other modern Python frameworks) - Strong SQL: joins, aggregations, window functions, and reading query plans - Track record of customer-facing engineering: deployments, integrations, or incident response with customers in the room - Comfort debugging production issues in code you didn't write - Direct, structured communication: you can write a clear bug report and explain a technical issue to a non-engineer - Cloud experience (GCP preferred) and at least one shipped integration with an enterprise system (ERP, CRM, CMMS, or similar) Nice To Haves Include: - Prior Forward Deployed Engineer, Implementation Engineer, or Solutions Engineer experience at enterprise or B2B SaaS companies - ERP / CMMS integration experience - Industrial or operations domain background: heavy assets, telemetry, asset management - Background in a physical-engineering discipline (mechanical, electrical, industrial) Why Join Ayama: - Exclusive Ecosystem: Unparalleled access to AI Fund's experts and Dr. Andrew Ng's network of AI luminaries. - Real-World Impact: We are solving critical performance gaps in energy supply while demand driven by global electrification skyrockets. - Growth Path: First role on what will become Ayama's customer engineering function. Lead and hire that team as the company scales.

Role Description We are expanding our recruitment team and looking for a Cost Engineer-Estimator to help drive our continued success. - Review architectural drawings and submitted quotes to determine suitable installation options for our systems, including glass, aluminum, and steel partitions. - Perform precise take-offs for all door and partition openings based on architectural and shop drawings. - Read and interpret door schedules and hardware sets to ensure accurate product selection and full compatibility. - Communicate effectively with the sales team to clarify project scope, technical requirements, and deadlines. - Request necessary documentation, including compliance and regulatory certifications, as needed. - Prepare detailed quotes that clearly define included materials, scope of work, exclusions, and any relevant assumptions or conditions. - Identify and correct technical errors made by sales managers and propose appropriate alternatives or solutions. Qualifications - Technical degree in Mechanical or Civil/Structural Engineering. - Strong spatial thinking and technical problem-solving skills. - Proven experience with quantity take-offs from construction and mechanical drawings. - Confident in reading and interpreting civil and mechanical drawings, hardware sets, and layouts. - Proficient in Excel or Google Sheets with basic formulas. - High attention to detail and accuracy. - Ability to manage multiple tasks and work independently. - Comfortable working with scaled PDFs (e.g., in Adobe Acrobat). - Languages: Russian (fluent), English (Upper-intermediate B2). Requirements - Available to work full-time aligned with EST timezone (8:30 AM - 5:00 PM). - Strong written and verbal English communication skills (B2 level or higher). - Proven experience as a Cost Engineer / Estimator. Benefits - Clear opportunities for career development and salary increase. - Competitive salary and benefits package. - Work with a diverse and talented group of professionals. - Supportive and innovative work environment. - Paid days off and sick leave.

Title: Principal Network Firewall Engineer Flex-Hybrid Job Description: Work Location: Los Angeles, CA, USA Onsite or Remote Flexible Hybrid Work Schedule Monday-Friday 8am-5pm PST Salary Range: $116300 - 264600 Annually Employment Type 2 - Staff: Career Duration Indefinite Job # 29715 Primary Duties and Responsibilities Press space or enter keys to toggle section visibility Under the direction of the Manager of IT Network Engineering, the Principal Network Firewall Engineer is responsible for the design, configuration, installation, administration and support of network firewalls, network routing, network software, daily operational incidents, network break/fix support, technical escalations and network maintenance support. The Principal Network Firewall Engineer’s role functions also include, but are not limited to enterprise project deliverables, project tasks, documentation, network builds & installations, performance monitoring, optimization, troubleshooting and maintenance of a variety of systems of the network. This is a principal level role, specializing in advanced level security and network infrastructure design and network security solution delivery. In this role, you will: - Perform deployments of Next-Generation firewalls, firewall technologies and related security controls. - Configure firewall security rules and security policies as they pertain to projects and security control deployments. - Implement and maintain robust security measures to safeguard the network against unauthorized access, cyber threats, and data breaches. - Design and enforce network access controls, firewalls, intrusion detection/prevention systems, and other security mechanisms. - Collaborate with cross-functional teams to ensure seamless deployment of network solutions. - Oversee network upgrades and migrations to minimize disruptions to the organization's operations. - Monitor network performance and proactively identifying and resolving bottlenecks, latency issues, and other performance-related problems. - Conduct regular network assessments and capacity planning to ensure optimal network performance. This is a flex-hybrid role which will require you to be onsite as required by operational need; there are no reimbursements for travel to "home office" location. Each employee must complete a FlexWork Agreement with their manager which will outline arrangement parameters and aids both parties in fully understanding expectations. Arrangements are regularly evaluated, and are subject to termination. Salary offers are determined based on various factors including, but not limited to, qualifications, experience, and equity. The full salary range for this position is $116,300 - $264,600 annually. The budgeted salary or hourly range that the University reasonably expects to pay for this position is approximately between the start and median. Job Qualifications Press space or enter keys to toggle section visibility 7+ years of experience administering enterprise class firewalls and data networks. One of the following Palo Alto certifications is required: ·Palo Alto Networks Certified Network Security Engineer (PCNSE) ·Palo Alto Network Security Professional ·Palo Alto Network Security Architect Cisco CCIE and Cisco Firewall certification desired. Understanding cybersecurity controls, standards, framework and vulnerability detection methods such as pen-testing and practicing ethical hacking. As a condition of employment, the final candidate who accepts an offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; or have filed an appeal of a finding of substantiated misconduct with a previous employer. Current/former UC employees are subject to a personnel file review.

Senior - Staff ML Training Optimization Engineer Location: Remote, Canada, United States Job Description: Remote US & Canada / Dallas, TX / Phoenix, AZ / Pittsburgh, PA / San Francisco, CA / Toronto, ON Software – Autonomy & Algorithms / Full-time / Hybrid Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. You will... - Build standardized distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency. - Comprehensively profile model runtime and memory to pinpoint performance bottlenecks. - Identify and evaluate emerging technologies that can be adopted into Waabi’s training and inference frameworks. Examples include designing new CUDA kernels, quantization-aware training and inference, and compilation/deployment techniques. - Work with researchers and ML engineers on best-practices for optimal resource usage. - Create and improve tooling and dashboards to ensure broad adoption of your work. Qualifications: - MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study. - Solid coding proficiency in a variety of coding languages including Python, C++ or Rust. - Experience in deep learning frameworks such as PyTorch or Jax. - Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight. - Open-minded and collaborative team player with willingness to help others. - Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have: - Experience in identifying when custom CUDA kernels are needed, and implementing them. - Experience in Bazel in a monorepo environment, and integrating third party packages into dev environments. - Experience with Kubernetes-based training platforms. The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits: Waabi provides a competitive benefits package that includes: - Competitive compensation and equity awards. - Health and Wellness benefits encompassing Medical, Dental and Vision coverage. - Unlimited Vacation. - Flexible hours and Work from Home support. - Daily drinks, snacks and catered meals (when in office). - Regularly scheduled team building activities and social events both on-site, off-site & virtually. - World-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office) - As we grow, this list continues to evolve! Waabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.