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At Bose Corporation, we believe sound is the most powerful force on earth - and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound. Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation. Job Description Principal Audio DSP/ML Engineer - Audio Technology We are seeking a Principal Audio DSP / Machine Learning Applied Scientist to invent, develop, and productize advanced audio technologies. In this role, you will combine signal processing, machine learning, and systems engineering to deliver high-quality audio solutions for real-world consumer devices. You will work across the full pipeline-from algorithm research and deployment to optimized, real-time deployment on production hardware. Bose has a strong history of combining creative thinking with cutting-edge technology in the audio domain. We are looking for candidates passionate about machine learning and audio to help us shape the next chapter in the future of Bose! Responsibilities: Design and develop audio signal processing and machine learning algorithms for speech and audio applications such as noise suppression, echo cancellation, beamforming, spatial audio, and audio enhancement Apply primarily modern ML/deep learning approaches augmented by classical DSP techniques to audio and time-series data. Investigate new modeling approaches and translate research ideas into practical, scalable solutions that will be experienced by millions of consumers. Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or related field. Hands-on experience with machine learning applied to audio or time-series data. Strong fundamentals in digital signal processing (sampling, filtering, FFTs, spectral analysis). Experience with Python and/or MATLAB for research and prototyping. Solid understanding of audio systems and acoustics. Strong communication skills. Preferred Qualifications: MS or PhD in a relevant technical field. Deep practical knowledge of: Applied ML frameworks such as PyTorch/ONNX and/or TensorFlow/TFLite. Audio DSP (sampling, filtering, FFTs, spectral analysis) using tools such as Python, Matlab and/or C/C++. Experience with speech or audio ML tasks, such as: Audio source separation / speech enhancement Echo reduction Microphone array signal processing Strong software engineering practices (debugging, profiling, version control). Proficiency in C and/or C++ for performance-critical systems. Publications, patents, or demonstrated innovation in DSP or ML. What success looks like: You deliver robust, high-quality audio algorithms that work reliably in real-world conditions. You balance audio quality, ML performance, and system constraints effectively. You influence product direction through technical insight and data-driven decisions. Your work ships as both licensed audio technology at scale. At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Remote, California is: $216,000-$297,000.The hiring range for other Bose work locations may vary. In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company-driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let's Make Waves.

At Bose Corporation, we believe sound is the most powerful force on earth - and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound. Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation. Job Description Principal Audio DSP/ML Engineer - Audio Technology We are seeking a Principal Audio DSP / Machine Learning Applied Scientist to invent, develop, and productize advanced audio technologies. In this role, you will combine signal processing, machine learning, and systems engineering to deliver high-quality audio solutions for real-world consumer devices. You will work across the full pipeline-from algorithm research and deployment to optimized, real-time deployment on production hardware. Bose has a strong history of combining creative thinking with cutting-edge technology in the audio domain. We are looking for candidates passionate about machine learning and audio to help us shape the next chapter in the future of Bose! Responsibilities: Design and develop audio signal processing and machine learning algorithms for speech and audio applications such as noise suppression, echo cancellation, beamforming, spatial audio, and audio enhancement Apply primarily modern ML/deep learning approaches augmented by classical DSP techniques to audio and time-series data. Investigate new modeling approaches and translate research ideas into practical, scalable solutions that will be experienced by millions of consumers. Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or related field. Hands-on experience with machine learning applied to audio or time-series data. Strong fundamentals in digital signal processing (sampling, filtering, FFTs, spectral analysis). Experience with Python and/or MATLAB for research and prototyping. Solid understanding of audio systems and acoustics. Strong communication skills. Preferred Qualifications: MS or PhD in a relevant technical field. Deep practical knowledge of: Applied ML frameworks such as PyTorch/ONNX and/or TensorFlow/TFLite. Audio DSP (sampling, filtering, FFTs, spectral analysis) using tools such as Python, Matlab and/or C/C++. Experience with speech or audio ML tasks, such as: Audio source separation / speech enhancement Echo reduction Microphone array signal processing Strong software engineering practices (debugging, profiling, version control). Proficiency in C and/or C++ for performance-critical systems. Publications, patents, or demonstrated innovation in DSP or ML. What success looks like: You deliver robust, high-quality audio algorithms that work reliably in real-world conditions. You balance audio quality, ML performance, and system constraints effectively. You influence product direction through technical insight and data-driven decisions. Your work ships as both licensed audio technology at scale. At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Remote, California is: $216,000-$297,000.The hiring range for other Bose work locations may vary. In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company-driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let's Make Waves.

About Kalepa: Insurance is a $7T global industry built on professional labor: underwriting, claims, pricing, operations, and distribution. Kalepa is building AI that can perform that work. We create professional-grade AI systems for insurers: software that can read, reason, decide, and act inside real workflows and operate over long-time horizons. Kalepa begins by augmenting professionals with the tools to succeed at their jobs. That earns us the right to learn from real decisions, capture decision traces, and automate what can be automated successfully over time. Our products are already in production with leading insurers, driving measurable outcomes and expanding across functions. The opportunity is far broader than any single workflow: to build the AI operating system for decision-making across insurance. For people who want to work on AI that matters, in a sector where correctness, trust, and real-world impact count, Kalepa is just getting started. Kalepa is backed by leading investors such as IA Ventures and Inspired Capital, and our team brings experience from Facebook, Palantir, Google, Amazon, McKinsey, Mastercard, and Uber. Our Values (This is important): Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees. Success at Kalepa is bred from five core principles: Hustle and Determination - We hire people who take full ownership of their craft and relentlessly pursue excellence with speed and determination. We choose the hard problems and do not give up. This is the foundation of how we work and how we win. Deliver Customer Impact - We're obsessed with customer impact. Every feature, every line of code, every decision is measured against one question: does this help insurers make better decisions? If it doesn't drive speed, accuracy, or profitability for our customers, we don't build it. Meritocracy - We're building something exceptional, and that requires exceptional people and ideas. We have a high bar but we reward excellence with rapid growth. If you're the best at what you do, you'll thrive here. Transparency - We value honest, transparent communication over politics. We challenge ideas, not people. We say what needs to be said, even when it's hard. This is how we solve problems fast and find the truth. Experiment Relentlessly - Many of the problems we face have never been solved before. We tackle them by testing quickly, measuring rigorously, and iterating until we find the path forward. Speed of learning is our advantage. In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen 2022 - Rome 2023 - Buenos Aires 2024 - Lisbon 2025 - Cartagena). Kalepa's culture isn't for everyone, and that's ok. But for the people who are a fit, they can't imagine working elsewhere. About the role: Salary range: $80k - $105k USD We are looking for smart engineers who love to code, seek challenging problems, and appreciate recognition for excellent work. As a core engineer at Kalepa, you'll work on real product and R&D systems at the intersection of software engineering and applied AI. You will own backend services, data and ML pipelines, and the infrastructure behind our product used by commercial insurance underwriters. You'll build and improve systems that ingest, process, and reason over large volumes of structured and unstructured data, including documents, third-party sources, and model outputs. This is hands-on engineering work on problems that matter to the business, with ownership of systems end to end. You'll collaborate closely with experienced full-stack, backend, ML, and platform engineers, and you'll be expected to shape how production systems are designed, built, tested, and operated at scale. We're a small team where individual contributions have an outsized impact on both our technology and our business. You'll Be a Good Fit If You: Have 3+ years of professional software engineering experience building and shipping production systems Have excellent development skills including design, debugging, and problem solving Are strong in Python, with solid fundamentals in at least one other language Have worked with relational databases, with a preference for PostgreSQL Have experience with AWS and asynchronous or serverless workflows (EC2, Lambda, etc.) Can design and build data-driven microservices leveraging RESTful APIs Have a degree in computer science, mathematics, engineering, or a related field, or equivalent practical experience Enjoy writing code and solving non-trivial technical problems Are curious about AI, data, and real-world applications of machine learning Take ownership and are comfortable working with ambiguity Move fast, learn quickly, and value high standards Appreciate direct feedback, meritocracy, and transparency What We Offer: Competitive salary based on experience level Significant equity options package Direct work on core systems at a fast-growing AI startup Fully remote work from Europe Onsite team events in Warsaw and global team offsites Real responsibility and production impact from day one 20 days of PTO a year Gym, phone, and learning stipend reimbursement The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo ML Frameworks & Efficiency team partners closely with Research and Production teams across Waymo to develop and deploy models in Perception and Planning that are core to our autonomous driving software. We help our partners by offering the best frameworks for the entire model development lifecycle, including training and evaluation. They are geared towards both scaling models with efficiency and solving problems unique to ML for autonomous driving. We are looking for engineers with ML system expertise to help us train, evaluate and improve pre-trained models to be deployed into Waymo Driver, and potential future products. You'll work closely with researchers and modeling engineers across the company, and tackle the challenges of different evaluation scenarios for Waymo drivers, building large-scale evaluation platforms that can scale across compute, data, and environments to improve model intelligence and alignment with human drivers. You Will: Design and build distributed evaluation platforms for large-scale ML evaluation workloads. Profile evaluation platforms, identify performance bottlenecks (CPU, memory, I/O, network), and implement optimizations to improve inference speed and resource utilization. Collaborate with ML engineers to understand evaluation requirements and scenarios, and improve DevX of the evaluation infrastructure. Improve runtime goodput of ML inference workload and efficiency of metrics computations, ensuring scalability and reliability across distributed environments. Implement and maintain advanced ML infrastructure tools, including ML Pathways, JAX, Flume and TensorFlow. You Have: B.S. in Computer Science, Math, or 3+ years equivalent real-world experience. Proficient in distributed systems design with an understanding of ML efficiency. Experience with ML frameworks, including TensorFlow, JAX, XLA. Solid programming skills in Python and C++. Practical familiarity with profiling tools to uncover performance bottlenecks. We Prefer: MS in Computer Science, Math Familiarity with large-scale evaluation platforms for LLMs. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000-$302,000 USD

About Lodestar Lodestar's mission is to develop the first "Protect and Defend" capability for high-value space assets in orbit. Our flagship product, MITHRIL, is our hardware-agnostic, AI-enabled autonomy software suite that enables us to augment any off-the-shelf spacecraft with the ability to autonomously detect, characterise, and reversibly neutralise orbital threats. By building on the proven space heritage of our best-in-class satellite-bus partners and fully integrating MITHRIL into single unified platform, we deliver an end-to-end, autonomous in-space superiority service. About the Job At Lodestar, as a Software Engineer II - On-board Autonomy , you'll be developing the decision-making systems at the heart of Lodestar's autonomy suite. You'll focus on creating algorithms that evaluate mission context, system capabilities, and environmental conditions to recommend and execute optimal actions. These models adapt dynamically to changing conditions, enabling real-time autonomous decision-making even in communications-limited or uncertain environments. Your work will bridge perception, prediction, and control, allowing spacecraft to operate intelligently, efficiently, and resiliently across complex mission scenarios. We proudly have an "extreme ownership" oriented engineering culture. What You'll Do Design and implement on-board decision-making models that recommend and adapt strategies in real time Develop autonomous decision algorithms that integrate information from perception, state estimation, and intent prediction models to execute mission objectives Research and implement ML models for decision making - everything from lit. review, through training, to deployment Implement decision models that adapt dynamically to changing mission context, environmental conditions, and system status Develop frameworks for continuous re-evaluation of active strategies to ensure resilient and adaptive behavior under uncertainty Support real-time autonomy in communications-limited or time-critical scenarios Build and maintain autonomy infrastructure, testing frameworks, and deployment pipelines for space missions Basic Qualifications Bachelor's or Master's degree in Computer Science, Machine Learning, Robotics, a related field, or equivalent experience 2+ years of distinguished industry experience in autonomy, decision-making, or control systems for aerospace/robotics Strong proficiency in C++ and Python and DL frameworks (PyTorch, TensorFlow) Demonstrated experience with machine learning applied to decision-making or control problems Track record with optimal control, planning, or reinforcement learning in real-time systems Familiarity with multi-agent decision-making or planning under uncertainty Preferred Skills & Experience Track record implementing autonomy applications in real-time or safety-critical environments Experience integrating perception and prediction outputs into decision frameworks Familiarity with resource-aware strategy selection and optimization under uncertainty Background in reinforcement learning, hierarchical planning, or adaptive control Experience with distributed training and cloud-based scaling of ML models (AWS, GCP, or Azure) Experience with Linux, Git, and CI/CD pipelines Comfortable with containerization tools such as Docker and Kubernetes Familiarity with real-time systems, multi-threading, and performance optimization Strong understanding of distributed autonomy, networking, and communication protocols ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. Compensation & Benefits Pay Range: (P2) Developing: $115,000 - $174,000 / year (P3) Career: $136,000 - $200,000 / year Meaningful equity incentives as part of our employee option pool Flexible PTO with generous paid vacation, holidays, and sick leave Comprehensive medical, dental & vision coverage 401(k) retirement plan with company match LA Additional Information Compensation bands are determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options , and access to medical, vision and dental coverage , as well as access to a 401(k) retirement plan . Lodestar is an Equal Opportunity Employer; employment with Lodestar is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won't just build and deploy - you'll drive the strategy, architecture, and execution of end-to-end systems, working directly with clients. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. The team is increasingly focused on applied AI work - building and deploying LLM-powered and agentic systems in production - so strong ML engineering instincts can be a valuable addition alongside your architecture and leadership experience. What You'll Do Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions, including LLM and agentic systems Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability - including for ML/AI-specific systems like RAG pipelines and production-grade AI applications Own projects from first discovery call through full deployment - including client-facing delivery, internal coordination, and post-launch iteration Build shared infrastructure, reusable components, and internal playbooks to level-up the team, including MLOps practices for model versioning, monitoring, and lifecycle management Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible What We Need 10+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems, including LLMs and AI Agents Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS, Azure) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes ML Operations (for teams with an applied AI/ML focus): Experience with MLOps frameworks and best practices - model versioning, monitoring, and lifecycle management - and designing scalable ML systems such as RAG pipelines Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client-facing skills; you've led conversations with technical and non-technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments Strong engineering background demonstrated by a Bachelor's degree in Data Science, Computer Science and related fields OR equivalent professional experience Be willing to be on-call for our customers when situations arise Travel: Willingness to travel for on-site client engagements as needed Onsite: Available to work from the office a few days per week, depending on team needs - some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $250,000 - $300,000 USD You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo ML Infrastructure team works with Research and Production teams to develop models in Perception and Planning that are core to our autonomous driving software. We help our partners by offering the best solutions for the entire model development lifecycle. These solutions are developed in close collaboration with teams at Google. They are geared towards both scaling models and solving problems unique to ML for autonomous driving. You will improve the runtime efficiency of input data pipelines for large-scale training workloads. This is a unique opportunity to work on ML systems and improve on our model training processes. You Will: Design, and improve distributed input data pipelines for large-scale ML training workloads. Collaborate with researchers and ML engineers to resolve bottlenecks in data pipeline performance. Improve runtime goodput of ML training workload, including optimizing input data processing systems, ensuring scalability and reliability across distributed environments. Implement and maintain advanced ML infrastructure tools, including ML Pathways, Grain, JAX, and TensorFlow. Evaluate and integrate modern technologies to enhance the performance and scalability of ML systems. Promote best practices for distributed systems architecture and contribute to technical leadership within the team. You Have: B.S. in Computer Science, Math, or 5+ years equivalent real-world experience. Proficient in distributed systems design with an understanding of ML data pipeline optimization. Experience with ML frameworks, including TensorFlow and JAX. Hands-on experience libraries like Grain or tf.data service. Solid programming skills in Python and C++. Practical familiarity with profiling tools to uncover performance bottlenecks. We Prefer: MS in Computer Science, Math Familiarity with distributed dataflow frameworks like ML Pathways The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000-$302,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Configurations team is dedicated to ensuring Waymo's cars drive with the desired features based on the car's current state (location, driving mode etc). We are also responsible for managing release deployments to our fleet of cars. The team works with different parts of the company to achieve its mission - other engineering teams to validate and roll out new features, release organization for managing qualifications and deployments, operations for ensuring stability of configurations and validating so that we don't mistakenly drive with incorrect configurations and so on. You will: Design, implement, and maintain the large-scale backend services that deliver configurations and features to a large, real-world fleet of autonomous vehicles. Help build and evolve one or more mission-critical commercialization tools and systems as we scale and serve new markets. Collaborate with Product, Ops, Data Science, and other teams to develop systems as our needs grow and evolve Implement robust configuration rollout processes to manage the complexity of updating the fleet of Waymo vehicles as we scale up and deploy in new markets. Enable launching new features in a safe way - evaluation, A/B testing, gradual rollouts. You have: 5+ years of professional software engineering experience. 3+ years of experience working on large-scale distributed systems. Proven track record of driving collaboration effectively across organizational boundaries and the ability to partner across organizational boundaries to optimize workflows and drive strategic alignment. Strong ability to document technical designs, processes, and communicate clearly with cross-functional teams. A commitment to system safety and reliability, with experience in developing mechanisms to detect and prevent the impact of configuration or software failures in a high-stakes environment. We prefer: Interested in interacting with other teams to understand their needs and propose infrastructure solutions. Experience with C++. Track record of successfully executing forward looking ambitious bets. Familiarity with Google infrastructure (e.g. Borg, Protocol Buffers, Spanner). The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000-$215,000 USD

About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won't just build and deploy - you'll drive the strategy, architecture, and execution of end-to-end systems, working directly with clients. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. The team is increasingly focused on applied AI work - building and deploying LLM-powered and agentic systems in production - so strong ML engineering instincts can be a valuable addition alongside your architecture and leadership experience. What You'll Do Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions, including LLM and agentic systems Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability - including for ML/AI-specific systems like RAG pipelines and production-grade AI applications Own projects from first discovery call through full deployment - including client-facing delivery, internal coordination, and post-launch iteration Build shared infrastructure, reusable components, and internal playbooks to level-up the team, including MLOps practices for model versioning, monitoring, and lifecycle management Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible What We Need 10+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems, including LLMs and AI Agents Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS, Azure) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes ML Operations (for teams with an applied AI/ML focus): Experience with MLOps frameworks and best practices - model versioning, monitoring, and lifecycle management - and designing scalable ML systems such as RAG pipelines Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client-facing skills; you've led conversations with technical and non-technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments Strong engineering background demonstrated by a Bachelor's degree in Data Science, Computer Science and related fields OR equivalent professional experience Be willing to be on-call for our customers when situations arise Travel: Willingness to travel for on-site client engagements as needed Onsite: Available to work from the office a few days per week, depending on team needs - some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $250,000 - $300,000 USD You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Configurations team is dedicated to ensuring Waymo's cars drive with the desired features based on the car's current state (location, driving mode etc). We are also responsible for managing release deployments to our fleet of cars. The team works with different parts of the company to achieve its mission - other engineering teams to validate and roll out new features, release organization for managing qualifications and deployments, operations for ensuring stability of configurations and validating so that we don't mistakenly drive with incorrect configurations and so on. You will: Design, implement, and maintain the large-scale backend services that deliver configurations and features to a large, real-world fleet of autonomous vehicles. Help build and evolve one or more mission-critical commercialization tools and systems as we scale and serve new markets. Collaborate with Product, Ops, Data Science, and other teams to develop systems as our needs grow and evolve Implement robust configuration rollout processes to manage the complexity of updating the fleet of Waymo vehicles as we scale up and deploy in new markets. Enable launching new features in a safe way - evaluation, A/B testing, gradual rollouts. You have: 5+ years of professional software engineering experience. 3+ years of experience working on large-scale distributed systems. Proven track record of driving collaboration effectively across organizational boundaries and the ability to partner across organizational boundaries to optimize workflows and drive strategic alignment. Strong ability to document technical designs, processes, and communicate clearly with cross-functional teams. A commitment to system safety and reliability, with experience in developing mechanisms to detect and prevent the impact of configuration or software failures in a high-stakes environment. We prefer: Interested in interacting with other teams to understand their needs and propose infrastructure solutions. Experience with C++. Track record of successfully executing forward looking ambitious bets. Familiarity with Google infrastructure (e.g. Borg, Protocol Buffers, Spanner). The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000-$215,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo Mapping team's goal is to build a high resolution map of the world to support safe autonomous driving. We work on creating the map using a combination of automatic and manual techniques and build the infrastructure to store, process, and distribute the map. Our team collaborates with several other Waymo teams that consume map data. In this hybrid role, you will report to an Engineering Manager In this role, you will: Design, train, and deploy machine learning models to automate the creation of Waymo's HD maps, unlocking scale for the Waymo Driver. Apply and advance state-of-the-art ML techniques, including Vision-Language Models (VLMs) and other Generative AI approaches, to pioneer new solutions in mapping automation. Own the complete model development lifecycle, from data mining and processing to model training, evaluation, validation, and productionization. Collaborate closely with partner ML teams, such as Waymo Perception and Waymo AI Foundations, to adapt cutting-edge research into scalable, reliable, and production-grade solutions. You have: 8+ years of hands-on experience in Machine Learning, with a strong focus on computer vision and/or deep learning. Proficiency in at least one major deep learning framework (e.g., TensorFlow, PyTorch, JAX). Demonstrated experience owning problems end-to-end and working across various parts of the systems stack to deliver results. B.S. in Computer Science, a similar technical field, or equivalent practical experience. It's a Bonus if you have: M.S. or Ph.D. degree in Computer Science or a related discipline. Familiarity with foundation models and techniques for model adaptation (e.g., few-shot learning, transfer learning, domain adaptation). A track record of publications in top-tier ML/CV conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV). Experience with C++. Direct experience with mapping or GIS is a bonus but not required. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000-$310,000 USD

About BlueLabs BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world's greatest social and analytical challenges. Since our inception we've worked with more than 400 organizations ranging from advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we've developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach. About the team The Strategic Analytics Team at BlueLabs drives high quality, innovative research and analysis across BlueLabs' client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy. Team members analyze and interpret data, provide strategic program insight, drive innovation across sectors, and collaborate closely with both our client and technical teams. Our team is often called to answer questions like: What are the meaningful messaging takeaways from a survey of industry elites for a major corporation to consider in their paid communication? What political trends should a campaign be aware of, and what are the different pathways to victory? How do we present our models, calculators, and reports, so our partners get the information they need? About the role: As part of the Insights at BlueLabs, you'll be working with a group of analysts and data scientists who work across BlueLabs' client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy. This position requires a mix of analysis and data management as well as client presentation and communication. You'll be responsible for hard analysis as well as putting together the data infrastructure, reports, and calculators that will power our solutions as well as creating the client-facing materials that summarize those findings. Analysts at BlueLabs are the ones with the best understanding of the nuances of a client's data and our solutions. They can execute on the perfect solution but can also discover the answer that gets us 95% of the way there is a quicker and more efficient way. Some of our work is templated, but our team excels when they come up with creative solutions to the problems. This will require creating new calculators or analyzing existing outputs in a new light. Some examples of projects you might work on: Analyze polling data to discover trends and insights and then create a report that clearly communicates your findings Build crosstabs that detail the makeup of an advertising audience, target universe, or group of survey respondents Present your findings to clients and other stakeholders who may be made up of non-technical and/or highly technical people. Mentor analysts or fellows and support their growth and development Such other reasonable tasks may be assigned by management. Tools of the Trade We work closely with our data science team, so you'll need an understanding of statistical concepts, be able to interpret results and explain them to non-analysts We use big data sets so you will need to be comfortable with tools to access information and analyze that information such as SQL and some statistical and/or spreadsheet software We use an array of business intelligence tools to visualize our findings. Members of our team have different strengths such as GIS or Tableau so we look for some experience using such tools We're only successful if we can communicate our findings; writing skills, PowerPoint, Keynote and other tools of the consultant toolbox will help you succeed in this job What we are seeking: You likely have at least a bachelor's degree in a related field with a statistical background or at least 2+ years of experience analyzing data and building reports You are passionate about harnessing data-driven solutions to improve social outcomes You're eager to learn techniques in data management, analysis, and visualization You can recognize patterns and are careful to check assumptions whether they are your own or someone else's You have excellent attention to detail and a keen eye for design Your experience manipulating data to identify clear insights allows you to be able to conduct data analysis even on tight deadlines, where the problem is unstructured, or the guidance is open ended You've created reports and worked with data visualization and business intelligence tools You've created maps with GIS data and used software such as QGIS or ArcGIS You have experience with programming languages such as Python and SQL You have worked with spreadsheet and presentation software (Excel, Google Sheets, PowerPoint, Keynote) What Recruitment Looks Like: The successful candidate will complete up to three interviews (HR phone call, team member interview, and panel interview). There will also be a technical assessment. During the interview process, you will be asked questions to describe your background and experience relevant to the position. This may include providing examples of projects you worked on, tools or applications you've used, and knowledge you have applied. We often look for explanations of "how or why" so it's helpful to have details ready. What We Offer: BlueLabs offers a friendly work environment and competitive compensation and benefits package including: Salary: $85,000 Premier health, dental, and vision insurance plans 401K matching Unlimited paid time off Paid personal and volunteer leave 13 paid holidays 15 weeks paid parental leave Professional development stipend & tuition reimbursement Macbook Pro laptop & tech accessories Bring Your Own Device (BYOD) stipend for mobile device Employee Assistance Program (EAP) Supportive & collaborative culture Flexible working hours Remote friendly (within the U.S.) Pre-tax transportation options for commuting to our office in Washington, DC Lunches and snacks And more! The salary range for candidates who meet the minimum posted qualifications reflects the Company's good faith understanding and belief as to the wage range, and is accurate as of the date of this job posting. At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. BlueLabs endeavors to make reasonable accommodations for qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Senior Director, People Operations. BlueLabs participates in E-verify. Collection of Personal Information Notice: As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or share it with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.

Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection . Schedule & Location : This is an onsite position based at our corporate headquarters in Johnston, RI, with the flexibility to work from home two days per week, depending on business needs . Relocation is not offered for this position . Position Summary The Enterprise AI Security Engineer is a senior technical role responsible for enabling the secure adoption of AI capabilities across the organization. This role defines and evolves security and risk requirements for enterprise AI capabilities, in addition to designing and implementing the supporting controls. The role operates at the intersection of cybersecurity, platform engineering, and emerging AI technologies, supporting enterprise AI solutions such as Microsoft Copilot, Claude, and internally developed or platform-based agentic AI systems, including Azure AI Foundry. The role translates emerging AI risks, security expectations, and enterprise requirements into clear, actionable, and scalable security patterns that can be consistently applied across platforms. The incumbent serves as a hands-on technical leader and subject matter expert, partnering with platform, engineering, and product teams to design, evaluate, and implement security capabilities for AI systems, while establishing standards and guidance for ongoing operations. In areas where security owns and administers the relevant controls, this role leads tool selection , control design, and implementation, with other teams potentially supporting day-to-day operations. In areas where security is not the system owner, this role consults with platform teams to ensure systems are configured and administered appropriately and effective security guidance is defined and applied. Role Emphasis This is a hands-on leadership role for someone who can define the security model for enterprise AI, not just implementing requirements provided by others. The successful candidate should be able to identify AI-related security risks, develop clear requirements and guardrails, and help teams implement those controls in a practical and scalable way. The role requires strong security engineering judgment, practical AI understanding, and the ability to balance risk reduction with business enablement. Key Responsibilities Lead the definition, design, and implementation of security capabilities that enable secure enterprise AI adoption across platforms such as Microsoft Copilot, Claude, and agentic AI frameworks. Define security and risk requirements for enterprise AI platforms and agent-based systems. Translate security, risk, and regulatory expectations, including emerging AI risks, into clear technical controls, guardrails, and implementation patterns aligned to relevant industry frameworks and enterprise requirements. Partner with AI platform, engineering, and product teams to embed security requirements and controls into architecture, design, delivery, and operations. Conduct security reviews and threat modeling for AI use cases, agent workflows, integrations, and platform capabilities to identify required controls before production deployment. Define and guide implementation of controls related to AI agent identity, tool and API access, data usage constraints, auditability, and agent behavior in enterprise environments. Lead evaluation, proof-of-concept, and selection of activities for native and third-party capabilities that support AI security, governance, and control objectives . Assess integration requirements across enterprise identity, logging, monitoring, data protection, and security tooling. Drive cross-functional implementation efforts involving security, platform, engineering, and product teams to operationalize AI security capabilities and supporting processes. Maintain practical standards, guidance, and best practices for secure AI deployment, configuration, and ongoing platform administration. Provide consultation and technical direction where security is not the system owner, ensuring effective security requirements are defined and applied. Qualifications: 7+ years of experience in information technology or cybersecurity, including at least five years in security engineering or a related technical area such as cloud security, identity and access management, data protection, application security, security operations, vulnerability management, incident response, or platform security. Hands-on experience designing and implementing security controls in modern environments, including cloud platforms, APIs, identity systems, data protection, and monitoring. Experience defining security requirements, standards, guardrails, or control frameworks in complex enterprise environments. Practical experience or strong working knowledge of AI or LLM-based systems, including their behavior, risks, and security implications. Experience partnering with engineering and platform teams to integrate security into architecture, design, delivery pipelines, and operations. Demonstrated ability to evaluate technologies and guide technical decision-making. Experience operating in complex, cross-functional environments and driving initiatives from concept through implementation. Familiarity with Azure-based platforms and services, including Azure AI Foundry or related capabilities, preferred. Exposure to enterprise AI platforms such as Microsoft Copilot, Claude, or similar platforms, preferred. Skills Strong technical knowledge of cybersecurity principles, including identity and access management, data protection, monitoring, secure architecture design, and security operations. Strong understanding of AI and LLM-related risks, including data exposure, prompt manipulation, unsafe tool use, misuse of agent capabilities, and auditability challenges. Ability to develop security and risk requirements from ambiguous or emerging technology risks. Ability to translate security requirements into practical engineering solutions, configurations, and implementation patterns. Familiarity with industry frameworks and guidance such as NIST Risk Management Framework, MITRE ATLAS, OWASP Top 10, and OWASP guidance for large language model applications. Strong analytical, problem-solving, and communication skills. Ability to work independently and collaboratively across teams. Education and Certifications Bachelor's degree in information security, Computer Science, Information Technology, or related field (Equivalent experience may be considered) Relevant certifications, such as CISSP, CISM, Security+, GIAC, or cloud security certifications, preferred . The hiring range for this position is $121,000 - $198,000. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, medical, dental and vision insurance, life and disability insurance, well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, and time off, including vacation and sick time. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

Job Description Job Description About Zedcor Inc. Zedcor Inc. (TSX-V:ZDC) is disrupting the traditional physical security industry through its proprietary MobileyeZ security towers by providing turnkey and customized mobile surveillance and live monitoring solutions to blue-chip customers across North America. The Company continues to expand its established platform of over 1,200 MobileyeZ towers in Canada and the United States, with emphasis on industry leading service levels, data-supported efficiency outcomes, and continued innovation. Zedcor services the Canadian market through equipment and service centers currently located in British Columbia, Alberta, Manitoba, and Ontario. The Company continues to advance its U.S. expansion which now has the capacity to service markets throughout the Midwest with locations throughout Texas Colorado, Arizona, Nevada and Florida. For more information, check out . Position Overview The Senior Network / Firewall Engineer to design, build, secure, and maintain a large-scale hybrid network environment. This is not an entry-level role. The successful candidate must be able to solve complex technical problems under pressure and operate with cybersecurity, uptime, encryption, monitoring, and compliance in mind. The environment includes Azure VPN Gateway, Azure Networking, Sophos firewalls, Cradlepoint routers, switches, Wi-Fi, F5 BIG-IP, Azure WAF, Azure Application Gateway, Azure Front Door, centralized logging, centralized monitoring, and internal PKI. Key Responsibilities Design, build, maintain, and troubleshoot IPsec and SSL VPN networks. Manage and support a Cradlepoint environment of 20,000+ devices. Manage Sophos firewalls or become proficient with Sophos within the first 30 days if experienced with another major firewall platform. Ensure DNS and DHCP are centrally managed, monitored, logged, secured, and not hosted directly on firewalls. Patch, monitor, log, audit, and secure network infrastructure. Ensure network links, management access, VPNs, and sensitive data flows are encrypted. Document network designs, firewall rules, routing policies, VPN configurations, standards, and runbooks. Support incident response, change management, vulnerability remediation, disaster recovery, SOC 2, FedRAMP, and StateRAMP readiness. Use Zedcor's internal PKI solution for device identity, certificates, authentication, encryption, and secure management. Maintain centralized logging, centralized audit logging, centralized authentication, centralized monitoring, and alerting. Ensure firewalls are used as security enforcement points, not as core infrastructure service providers. Support F5 BIG-IP, Azure WAF, Azure Application Gateway, and Azure Front Door. Configure and troubleshoot dynamic routing, including internal BGP. Support Azure VPN Gateway, Azure Networking, Sophos firewalls, Cradlepoint, switches, Wi-Fi, WAF, and load-balancing platforms. Qualifications & Requirements Key Responsibilities Design, build, maintain, and troubleshoot IPsec and SSL VPN networks. Manage and support a Cradlepoint environment of 20,000+ devices. Manage Sophos firewalls or become proficient with Sophos within the first 30 days if experienced with another major firewall platform. Ensure DNS and DHCP are centrally managed, monitored, logged, secured, and not hosted directly on firewalls. Patch, monitor, log, audit, and secure network infrastructure. Ensure network links, management access, VPNs, and sensitive data flows are encrypted. Document network designs, firewall rules, routing policies, VPN configurations, standards, and runbooks. Support incident response, change management, vulnerability remediation, disaster recovery, SOC 2, FedRAMP, and StateRAMP readiness. Use Zedcor's internal PKI solution for device identity, certificates, authentication, encryption, and secure management. Maintain centralized logging, centralized audit logging, centralized authentication, centralized monitoring, and alerting. Ensure firewalls are used as security enforcement points, not as core infrastructure service providers. Support F5 BIG-IP, Azure WAF, Azure Application Gateway, and Azure Front Door. Configure and troubleshoot dynamic routing, including internal BGP. Support Azure VPN Gateway, Azure Networking, Sophos firewalls, Cradlepoint, switches, Wi-Fi, WAF, and load-balancing platforms. Minimum Qualifications 5+ years of hands-on network engineering, firewall engineering, or network security engineering experience. Strong Azure Networking experience, including Azure VPN Gateway, virtual networks, routing, NSGs, private connectivity, and hybrid networking. Strong knowledge of IPsec VPNs, SSL VPNs, routing, switching, segmentation, firewall policies, NAT, high availability, and secure remote access. Solid understanding of DNS and DHCP design, troubleshooting, and security best practices. Strong understanding of encryption, PKI, certificate-based authentication, secure management access, and network security best practices. Ability to work full-time on-site in Houston, Texas. Ability to troubleshoot complex production issues under pressure. Understanding of why DNS and DHCP should not be hosted directly on firewalls, including separation of duties, availability, scalability, logging, auditability, and change-control risks. Hands-on experience with BGP and dynamic routing. Strong experience with Sophos or another major enterprise firewall platform such as Fortinet, Palo Alto, Cisco, or Check Point. Local Houston-area candidate able to work in office 5 days per week. Preferred Qualifications Sophos firewall experience. F5 BIG-IP, WAF, load-balancing, Azure WAF, Azure Application Gateway, or Azure Front Door experience. Enterprise PKI and certificate lifecycle experience. Certifications such as CCNP, CCNA, NSE, PCNSE, Sophos, Azure Network Engineer Associate, Security+, CISSP, or equivalent practical experience. Azure Monitor, Microsoft Sentinel, Defender for Cloud, Intune, or similar monitoring/security tooling experience. Cradlepoint or large-scale cellular router experience. Why Join Zedcor? At Zedcor, you won't just maintain systems, you'll help build and shape the future of security technology. We provide the tools, mentorship, and the environment to help you thrive and grow in your career. If you're looking to take your skills to the next level, Zedcor offers a dynamic and rewarding opportunity. Zedcor Inc. is an Equal Opportunity Employer and maintains the policy of recruiting and retaining the best-qualified personnel who demonstrate the ability to perform competently and work well with others. It is the policy of Zedcor to provide equal employment opportunity regardless of race (including traits historically or culturally associated with race, such as hair texture and protective hairstyles), religion (including religious dress and religious grooming), color, age (40 and over), genetic information, disability (mental and physical), medical condition (as defined under state law), national origin (including language use restrictions and possession of a driver's license issued under section 12801.9 of the California Vehicle Code), ancestry, sex (including gender, gender identity, gender expression), sexual orientation, marital status, familial status, parental status, domestic partner status, citizenship status, pregnancy (including perceived pregnancy, childbirth, lactation, or pregnancy-related conditions), military caregiver status, military status, veteran status, or any other status protected by federal, state, or local law. This policy of nondiscrimination is applied to all aspects of the employment relationship. The Company complies with the Americans with Disabilities Act (ADA) and applicable state and local laws in ensuring equal opportunity and employment for qualified persons with disabilities. We also consider qualified applicants with criminal histories, consistent with legal requirements. The following link provides more information regarding the Federal laws prohibiting discrimination in employment: EEO is the Law - Notice of Applicant Rights Under the Law.

Job Description Job Description Calyxo, Inc. is a medical device company headquartered in Pleasanton, California, USA. The company was founded in 2016 to address the profound need for improved kidney stone treatment. Kidney stone disease is a common, painful condition that consumes vast amounts of healthcare resources each year. Our team is led by executives and investors with a proven track record of commercializing paradigm-shifting devices to meet unmet needs within urology. Are you ready to change the future of kidney stone treatment? We are seeking high achievers who want to be part of a dynamic team working in a fun, diverse atmosphere. Summary: We are seeking a highly skilled and innovative hardware engineer to lead development of advanced fluidic subsystems in kidney stone treatment. This role focuses on the design and control of irrigation and aspiration systems, combining pumps, valves, sensors, tubing sets, and embedded software into safe and reliable products. This is a hands on technical leadership role for an engineer who enjoys developing both hardware and control algorithms, working across mechanical, electrical, and software boundaries to deliver clinically robust performance. This role requires ensuring that all engineering efforts comply with industry standards and regulatory requirements, while aligning with strategic business objectives. In This Role, You Will: Own and architect end-to-end fluid control systems across capital equipment and disposable instruments/tubing sets. Define and drive development of control algorithms to regulate irrigation and aspiration under varying clinical and patient conditions. Define system/sub-system performance requirements for flow, pressure, responsiveness, alarms, and fault detection. Perform system modeling, trade studies, prototyping and bench testing to educate key component selection (pumps, sensors, actuators), validate decisions and de-risk technical challenges. Individually contribute to mechanical/electromechanical design for critical fluidics subsystem components and assemblies and provide expert design review of other team-members designs. Lead cross-functional alignment across internal teams and external partners to ensure architectural integrity, V&V readiness, and production scalability. Collaborate with Systems & Test Engineering to drive design verification test planning and execution for fluid control hardware subsystems. Lead hardware sub-system risk management activities (e.g., FMEA). Organize system/sub-system-level technical design reviews to ensure coherent design across hardware, firmware and software interfaces. Collaborate with suppliers and internal operations representatives to perform root cause investigation, component lifecycle management and continuous improvement. Provide deep subject matter expertise toward the technology roadmap for fluidics and controls and related research endeavors. Partner closely with mechanical, electrical, software, systems, clinical, quality, regulatory and other cross-functional teams to bring prototypes to the market. Mentor junior and non-specialist engineering talent, promoting a collaborative and high-performance work environment. Who You Will Report To: Director, Vision and Sensor Systems Requirements: Bachelor's degree in Mechanical Engineering, Biomedical Engineering, Electrical Engineering, Mechatronics, or a related discipline. Master's or PhD in a relevant engineering discipline preferred. 15+ years of experience developing fluidic, mechatronic, or control systems in a regulated product environment. Experience with owning end-to-end hardware system architectures for fluidic control systems. Preferred familiarity with disposable fluidic component design and reusable/disposable system interfaces. Proven experience developing and tuning closed loop control systems for electromechanical hardware. Preferred experience with irrigation and aspiration systems, endoscopic or urological devices, or surgical fluid management platforms. Experience with pressure, flow, air in line, or occlusion detection preferred. Experience prototyping and testing systems at the bench and subsystem level, including proficiency with prototype embedded software development (e.g., C/C++, Python, or similar) to support hardware designs. Strong first-principles thinker with expert-level fundamentals in fluid dynamics applied to precision fluid delivery in complex devices. Ability to design experiments, analyze data, and translate results into design improvements. Clear technical communication skills and ability to influence across multidisciplinary teams. Experience leading external vendors and contract development firms. Exceptional structured problem-solving skills and experience leading multifunctional technical project teams through all development lifecycle phases. Prior work on medical devices or other safety critical products, including knowledge of IEC 60601, ISO 13485, and medical device design controls. Experience in requirements definition, design reviews, design verification, change management and risk control Ability to travel domestically and internationally up to 10% of the time. What We Offer: At Calyxo, you will be part of a knowledgeable, high-achieving, experienced, and fun team. You will work in a diverse work environment with experienced, proven leaders and have an opportunity to shape our company culture. You will experience constant learning and dynamic challenges to help you grow and be the best version of yourself. We also offer an attractive compensation package, which includes: A competitive base salary of $250,000 - $270,000 and variable incentive plan Stock options - ownership and a stake in growing a mission-driven company Employee benefits package that includes 401(k), healthcare insurance and paid vacation Calyxo is deeply committed to fostering an environment where diversity and inclusion are not only valued but also prioritized. We believe a diverse and inclusive community empowers us to act courageously, care deeply, and dream boldly to impact people in big ways. Diverse viewpoints bring diverse capabilities, which strengthen our focus and fuel our growth. Calyxo is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other applicable legally protected characteristics Legal authorization to work in the United States is required. In compliance with federal law, all persons hired will be required to verify their identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Disclaimer: At Calyxo, we prioritize a transparent and structured interview process to ensure the best fit for both our candidates and our team. Please be aware of the following: Structured Interview Process : Our hiring process includes multiple stages of interviews where you will have the opportunity to communicate directly with Calyxo employees. This ensures that you gain a comprehensive understanding of the role and our company culture. Verification of Identity : We do not extend job offers without first meeting candidates, either virtually or in person. This step is crucial to maintain the integrity of our hiring process and to ensure mutual alignment. Beware of Scams : Calyxo will never request sensitive personal information, such as your full name, address, phone number, or identification documents, via email or online forms before an official interview. Calyxo representatives will always contact you using an email format of . If you receive a request for information from any other domain, please contact us directly at to verify the legitimacy of the communication. We appreciate your interest in joining Calyxo and look forward to getting to know you through our official channels.

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description We are building a team that develops AI agents to solve hard security problems and you will be tackling the hardest ones. This is a hands-on, senior IC role. You will architect, build, and ship agentic AI systems that operate autonomously within security environments, while also driving the technical direction and standards for how these systems are built, tested, and secured. This is not a management role and not a pure research role. You will write code, ship systems, and get your hands dirty but you will be working on problems where there is no playbook yet. You will define the approach, build the proof of concept, harden it for production, and write the technical guidance others follow. Responsibilities: Architect and build AI agent systems for security operations autonomous detection, investigation, response, threat hunting, vulnerability analysis, and risk assessment Tackle the novel, high-complexity problems: adversarial robustness of agent systems, secure agent-to-agent communication, guardrails for autonomous decision-making in high-stakes security contexts Develop frameworks, tooling, and patterns for building secure and reliable agentic AI systems then use them yourself Conduct original research and experimentation on agentic AI applied to offensive and defensive security, translating findings into working code Build proof-of-concept exploits and adversarial tests against agentic AI systems to identify failure modes and inform defensive design Develop and publish technical guidance and policy for agentic AI security grounded in systems you have built and broken Independently author security position papers on emerging technologies strategic, high-level documents that frame organizational thinking on new threat domains and drive downstream policy and technical guidance Serve as a subject matter expert and key driver of the AI Cybersecurity Maturity program, spanning application security, training, AI controls and infrastructure, AI discovery and inventory, operations and incident response, and policy and procedure development Integrate LLMs, custom models, and security tooling (SIEM, EDR, SOAR, cloud platforms, vulnerability scanners) into agent architectures Evaluate and adopt emerging AI capabilities (new models, frameworks, techniques) and determine their applicability to security problems Set technical direction for agent development practices, including evaluation frameworks, testing methodologies, and deployment patterns Mentor and elevate other engineers on the team through code review, design guidance, and technical leadership Qualifications Required: Bachelor's Degree with 9 years' experience; Master's Degree with 8 years' experience; PhD with 4 years' experience. Respective years of experience in cybersecurity, security engineering, or security research with substantial hands-on technical depth Strong software engineering skills you ship production systems, not just prototypes. Python required; additional languages a plus Deep expertise in at least two of: security operations, application security, threat intelligence, vulnerability research, detection engineering, offensive security, cloud security Demonstrated experience building AI agents and AI/ML-powered security tools or automation that operated at scale Hands-on experience with agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, Aider, or similar) as part of your daily development workflow you build with agents, not just build agents Track record of original technical work published research, open-source tooling, conference presentations, or equivalent evidence of independent technical contribution Ability to work at the intersection of security and AI: you understand both the security implications of AI systems and how to apply AI to security problems Experience developing technical standards, frameworks, or guidance that others adopted Strong written and verbal communication you can explain complex technical concepts to both engineers and senior leadership, and you can write strategically about emerging technology risks at a level that shapes organizational direction Preferred: Experience with agent orchestration and autonomous systems (custom frameworks, LangChain, AutoGen, MCP, or similar) Background in adversarial ML, AI red teaming, or AI safety Familiarity with security compliance frameworks (NIST, ISO 27001, SOX) and how they apply to AI systems Published work (Black Hat, DEF CON, OWASP, academic journals, or equivalent venues) Experience in regulated industries (financial services, healthcare, critical infrastructure, government/defense) Contributions to open-source security projects OWASP, MITRE ATT&CK, or similar framework expertise applied in production environments Security clearance eligibility (not required) Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html

Job Description Job Description Company Description IFS is a billion-dollar revenue company with 7000+ employees on all continents. We deliver award-winning enterprise software solutions through the use of embedded digital innovation and a single cloud-based platform to help businesses be their best when it really matters-at the Moment of Service . At IFS, we're flexible, we're innovative, and we're focused not only on how we can engage with our customers, but on how we can make a real change and have a worldwide impact. We help solve some of society's greatest challenges, fostering a better future through our agility, collaboration, and trust. We celebrate diversity and accept that there are so many different perspectives in this world. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view. By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world. We're looking for innovative and original thinkers to work in an environment where you can so that we can help others make theirs. If you want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS. Job Description Our Aerospace & Defense business helps the world's leading airlines, MROs, OEMs and defense operators keep complex fleets and platforms mission-ready - managing the full maintenance, asset and service lifecycle at scale. We are reimagining how that software is built and delivered around AI, and we are investing in engineers who can put AI to work both inside our products and in how we build them. You operate forward deployed - working shoulder-to-shoulder with A&D customers in their own environments - to ship AI-powered mobile capabilities that connect IFS to the systems that run their operations. This is a Principal-level role: you are the person others build toward, setting technical direction across product groups, carrying deep expertise in Applied AI and Forward Deployed Engineering, and taking end-to-end ownership with a you-build-it, you-run-it mindset - from design and development through testing, deployment and operational reliability in the field. What you'll do • Shape our next-generation mobility solution. Help define and deliver the next-generation mobile experience for aviation maintenance - a fast, reliable, field-ready product that engineers trust to do their most critical work, including where connectivity is constrained. • Build AI into the product. Design and ship AI-powered product capabilities - model integration, prompt engineering, retrieval-augmented generation (RAG), agentic architectures and the evaluation harnesses and MLOps that keep them reliable in production. You build AI systems, not just use them. • Use AI to build the product. Treat AI-assisted development and agentic tooling as core engineering capability. You raise the bar for how the team builds - measurably faster and better - and set the standard others adopt. • Deploy forward. Embed with Aerospace & Defense customers to deploy, integrate and harden solutions in their environment. You connect IFS to the systems that run their business - ERP, CRM, IoT, telemetry, and legacy and mission systems - and own the solution architecture in real customer context, under real-world constraints. • Own delivery end to end. Design, develop, test, deploy and operate across the full stack in modern general-purpose languages. You own quality through automated testing, manage delivery through CI/CD, and ensure operational reliability in cloud, edge and mobile environments. • Lead as a Principal. Drive technical strategy across product groups, make the architecture and shipping-quality calls others defer, mentor engineers, and lift the AI and forward-deployment practice of the wider organisation. Represent IFS credibly in front of customers and partners. • Anchor to the customer. Ground technical decisions in direct customer evidence and business value. You understand the A&D domain deeply enough to know which problems are worth solving and how AI changes the answer. Qualifications Essential • Demonstrated, hands-on experience leveraging AI for building products - using AI-assisted and agentic development tooling as a core part of your workflow - and for building AI within products - shipping production AI capabilities using ML integration, prompt engineering, RAG, agentic architectures, evaluation and testing, and MLOps. • Mobile engineering: a proven track record building and shipping production mobile applications, with the depth to set the technical direction for a mobile product. Native iOS development experience is strongly preferred given this role's focus on our next-generation aviation-maintenance mobility solution. • Principal-level impact: a proven track record as a recognised technical authority who drives strategy and delivery across multiple teams or product groups, with the depth to operate as a role model in the most complex, large-scope work. • Forward-deployed strength: substantial experience deploying, integrating and operating enterprise software directly in customer environments, including integration with ERP, CRM, IoT and legacy systems, and owning solution architecture in customer context. • Full-lifecycle engineering: strong foundations across the delivery lifecycle - design and development, quality and testing, cloud and DevOps, and security - with proficiency in modern general-purpose programming languages beyond any single domain framework. • Leadership and ownership: end-to-end ownership with a you-build-it, you-run-it mindset, excellent communication with technical and non-technical audiences, and a track record of growing the capability of the engineers and teams around you. Nice to have • Experience working in or with Aerospace & Defense organisations, or on solutions for asset, maintenance, MRO or fleet-readiness management. • Experience with other enterprise asset management (EAM), field service or maintenance-management solutions. • Degree in Computer Science, Software Engineering or a related field, or equivalent practical experience. • Experience of agile delivery and of working with globally distributed teams. Additional Information Flexible paid time off, including sick and holiday Medical, dental, & vision insurance 401K with Company contribution Flexible spending accounts Life insurance and disability benefits Tuition assistance Community involvement and volunteering events We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer

Job Description Job Description Job Title: Network Security Engineer Department: Information Technology Location: Rochester, NY Classification: Exempt Reports To: Director of Information Technology Please note: Candidates must be authorized to work in the United States and able to work onsite in the Rochester, NY office. Sponsorship is not available for this position. Company Overview: Woods Oviatt Gilman, LLP is a leading and reputable full-service law firm dedicated to providing exceptional legal services to our clients. With a team of highly skilled and experienced attorneys, we strive to deliver comprehensive and effective solutions to meet the diverse needs of our clients. Our headquarters is in Rochester, NY with additional offices in Albany and Buffalo, NY. We foster a collaborative and inclusive work environment where every team member is valued and respected. We encourage open communication, teamwork, and professional growth. Our firm promotes a healthy work-life balance and supports the well-being of our employees. Position Summary: The Network Security Engineer is a hands-on technical role responsible for implementing, configuring, and maintaining the firm's security controls across a hybrid environment, including FortiGate firewalls, endpoint protection, cloud email and Microsoft 365, Intune-managed devices, and a co-managed monitoring and detection service. The Engineer works under the direction of the Director of Information Technology, who sets security policy and priorities for the department, and provides the technical assessment, recommendations, and documentation that support those decisions. Because the firm safeguards confidential and privileged client information, this position calls for strong technical skill, sound judgment, discretion, and clear communication with both the IT team and firm personnel. Duties and Responsibilities: Network and Perimeter Security Administer, tune, and monitor FortiGate firewalls, including security policies, VPN configuration, intrusion prevention, web and content filtering, and logging Implement and maintain network segmentation, secure remote access, and wireless security across firm locations, in line with the department's standards Maintain secure connectivity for remote and hybrid users, including VPN and conditional access Conduct scheduled reviews of firewall rules and network configurations, recommend changes to the Director of Information Technology, and maintain accurate network security documentation Endpoint, Identity, and Email Security Administer the firm's endpoint protection platforms, including CrowdStrike and Microsoft endpoint protection, covering policy configuration, detection review, containment actions, and agent coverage Configure and maintain device compliance, configuration, and application deployment through Microsoft Intune in a hybrid environment, including full-disk encryption and recovery key handling Configure and maintain identity and access controls across Microsoft Entra ID and on-premises Active Directory, including multifactor authentication, conditional access, and privileged account settings, and perform periodic access reviews Configure and maintain security settings for cloud email and collaboration, including mail flow and filtering rules, phishing and malware defenses, email authentication records, and Microsoft 365 security configuration Perform vulnerability and patch management across servers, endpoints, and network devices, including scanning, prioritizing findings, tracking remediation, and reporting status to the Director of Information Technology Monitoring, Detection, and Incident Response Serve as the day-to-day technical contact for the firm's managed monitoring service, triaging alerts, validating findings, and carrying issues through to resolution Investigate security events and perform containment, eradication, and recovery steps in accordance with the firm's incident response procedures, escalating promptly to the Director of Information Technology Contribute to the development, maintenance, and testing of the firm's incident response plan, including participation in tabletop exercises Verify that backup, recovery, and business continuity controls are functioning and tested, and support the department's disaster recovery planning Security Program Support, Privacy, and Compliance Provide technical evaluation and recommendations to support the department's selection and adoption of a recognized security framework such as the NIST Cybersecurity Framework, CIS Controls, or ISO 27001 Implement and maintain the technical controls that support the framework, and assist in assessing and reporting the firm's posture against it Assist the Director of Information Technology in drafting and maintaining information security policies, standards, and procedures, and implement the technical measures that carry them out Maintain security documentation, control evidence, and a working risk log, and recommend remediation priorities to the Director of Information Technology Support compliance with applicable privacy and data protection obligations, including the New York SHIELD Act and other state privacy requirements, and requirements applicable to regulated client data such as protected health information Prepare technical responses and supporting documentation for client security requirements, including outside counsel guidelines, security questionnaires, and client and third-party audits, and complete remediation items assigned by the Director of Information Technology Support obligations arising from clients in regulated industries, including financial services requirements such as NYDFS Part 500 as applied to the firm through client agreements Perform technical security reviews of vendors, applications, and services under consideration, and provide findings and recommendations to the Director of Information Technology Assist with independent assessments, including penetration testing and external audits, and complete assigned remediation work Awareness and Collaboration Administer the firm's security awareness program, including training delivery, phishing simulations, and user communication developed with the Director of Information Technology Partner with the IT team on secure configuration, change management, and project work, and provide technical guidance to service desk staff on security escalations Report on control status, vulnerabilities, incidents, and open remediation items to the Director of Information Technology Maintain current knowledge of emerging threats, vulnerabilities, and security technologies relevant to the legal industry, and share findings with the department Technical Skills: Required Hands-on administration of FortiGate firewalls, including policy management, VPN, intrusion prevention, and content filtering Endpoint detection and response administration, ideally CrowdStrike Falcon, and familiarity with Microsoft endpoint protection Microsoft 365 security administration, including cloud email protection, mail flow and filtering, phishing defense, and email authentication using SPF, DKIM, and DMARC Identity and access administration across Microsoft Entra ID and on-premises Active Directory in a hybrid configuration, including multifactor authentication and conditional access Microsoft Intune administration, including device compliance and configuration, application deployment, and device encryption in a hybrid environment Solid networking fundamentals, including TCP/IP, routing and switching, VLANs, DNS, DHCP, segmentation, and wireless security Vulnerability management and patch management practice, including scanning, prioritization, and remediation tracking Security monitoring and log analysis, and experience working with a managed detection and response or co-managed SOC provider Working familiarity with a recognized security framework such as the NIST Cybersecurity Framework, CIS Controls, or ISO 27001, and experience implementing controls in support of one Familiarity with privacy and data protection requirements, including state breach notification obligations and handling of regulated data Ability to produce clear technical documentation, control evidence, risk write-ups, and status reporting for both technical and non-technical readers Preferred Prior experience in a law firm or other professional services environment, including familiarity with outside counsel guidelines and client security audits Experience preparing responses to client security questionnaires and third-party risk assessments Azure or other cloud security administration PowerShell or comparable scripting for automation and reporting Experience with data loss prevention, email encryption, or information rights management Experience with security awareness platforms and phishing simulation tools Familiarity with SD-WAN, zero trust, or secure access service edge architectures Relevant certifications such as Fortinet NSE, CompTIA Security+, GIAC credentials, Microsoft SC-200 or SC-300, CISSP, or CISM Qualifications and Competencies: Strong analytical and problem-solving skills, with sound technical judgment in assessing and prioritizing risk . click apply for full job details

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job Description Job Description About TITAN At TITAN, we believe that intelligent automation is the future of manufacturing. Robots should integrate seamlessly into our world; Taking on the jobs people don't want, and elevating human labor from the shop floor to the control room. Our team of world class robotics engineers is dedicated to bridging the gap between cutting-edge research and robust, real-world solutions. We design and deploy practical, reliable, and scalable robotic systems that solve meaningful problems. By combining advanced sensing, intelligent automation, and precision process control, we enable robots to perform highly skilled, "artisanal" manufacturing tasks. Our solutions scale across a wide range of robotic configurations and processes, including mobile manipulators, fixed robotic cells, gantry and rail-mounted systems, and articulated workpieces. Today, TITAN systems are deployed across applications such as precision grinding, laser depainting, sanding, media blasting, non-destructive inspection (NDI), milling, and more. The Senior Autonomy Engineer Role We are seeking a talented and experienced Robotic Autonomy Engineer with a strong software development foundation to join our growing team. In this role, you will design, develop, test, and deploy autonomy solutions that scale across diverse industrial processes and robotic configurations. This is a highly technical and demanding position requiring the ability to conduct and translate cutting-edge research into robust, production-ready systems. The role sits at the intersection of robotics research and high-quality software engineering-balancing algorithmic innovation with disciplined engineering execution. You will collaborate closely with product, systems, hardware, and software teams to integrate advanced autonomy capabilities into our robotic platforms. Your work will directly impact real-world deployments, ensuring our systems are reliable, scalable, and capable of solving complex industrial challenges. Responsibilities: Design, develop, and maintain scalable autonomy solutions across multiple robotic platforms, solving complex, real-world industrial challenges. Partner with cross-functional teams-including systems, hardware, and software engineers-to ensure seamless integration between autonomy software and physical robotic systems. Write production-grade code that meets high standards for reliability and maintainability, including comprehensive unit testing, simulation validation, and field testing. Develop and implement advanced algorithms in areas such as multi-robot task allocation, high-dimensional planning and control, combinatorial optimization, motion planning, and adaptive process control. Drive system robustness through rigorous testing, validation, and continuous performance improvement in deployed environments. Qualifications: 5+ years of experience developing complex software systems, with a focus on robotics, AI/ML, automation, or related technologies as applied to real-world systems (beyond simulation) MS or PhD in robotics or a related field Deep expertise in C++, including extensive experience building and maintaining large-scale software systems using modern architecture and design patterns. Strong foundation in mathematics, algorithms, and analytical problem-solving , with the ability to translate theory into production-grade implementations. Proven ability to balance algorithmic rigor with practical, product-oriented engineering tradeoffs. Excellent lateral thinking skills and exceptional attention to detail, with the ability to move quickly while maintaining high technical standards. Preferred Skills: Experience with robotic kinematics, dynamics, and trajectory planning. Familiarity with combinatorial optimization and complex algorithmic design. Background in regression testing, automated schedulers, and robotics decision-makers. Aptitude in creation of simulations Previous startup experience, or comfort working in fast-moving environments Why You'll Like Working Here Real ownership and influence over both product and technical direction Small, senior team with high standards Focus on shipping and learning fast-not endless research demos Work that actually leaves the lab and hits the real world If you're excited about building autonomy that actually works in production and want to help shape the core of a robotics product, we'd love to talk. Company Description Titan Robotics, Inc. ("Titan," ) is a private small business located in the Airside Business Park with additional operations at the Pittsburgh International Airport. The candidate for this position will be primarily located at the Airside Business Park facility. Titan's operations focus on the development and production of robotic systems and equipment. This is an exciting and challenging opportunity to join a robotics company on a path for growth and success. We design and build custom systems with advanced technology that are production ready. Company Description Titan Robotics, Inc. ("Titan," ) is a private small business located in the Airside Business Park with additional operations at the Pittsburgh International Airport. The candidate for this position will be primarily located at the Airside Business Park facility. Titan's operations focus on the development and production of robotic systems and equipment. This is an exciting and challenging opportunity to join a robotics company on a path for growth and success. We design and build custom systems with advanced technology that are production ready.