Structural Analysis Engineer Jobs

About the Role At Atomicwork, the People Partner role goes beyond partnering- it’s about building, operating, and scaling people programs with intent. This role is ideal for someone who enjoys being close to the business, working with senior leaders, and owning the entire employee lifecycle -from onboarding to exit-while also bringing structure, automation, and data-driven decision-making. You’ll work across multiple teams and geographies , including close collaboration with US-based stakeholders, and help shape a strong, values-led culture as the company scales. What You’ll Do Business Partnership & Stakeholder Management Partner closely with senior leaders across functions and locations Act as a trusted advisor on people matters, balancing business needs with empathy Enable leaders to make better people decisions through data and insights People Operations & Automation Own end-to-end employee lifecycle processes: onboarding, engagement, performance, transitions, and exits Build scalable, automated people processes suitable for a growing startup Ensure operational excellence while continuously improving systems and workflows Programs, Policies & Culture Design and implement HR programs aligned with Atomicwork’s cultural values Create and standardize policies that work across regions, while respecting local nuances Enable and strengthen culture through meaningful engagement initiatives, not surface-level activities Data, Problem Solving & Decision Making Take a data-driven approach to identify trends, diagnose problems, and recommend solutions Handle complex people situations with maturity, empathy, and sound judgment Bring structure to ambiguity and act decisively when required What We’re Lo

AI Engineer - Enterprise Search Overview We are looking for an experienced Enterprise Search Lead to build and optimize our multi-tenant enterprise search solution. This role focuses on creating scalable systems that integrate seamlessly with customer environments, leveraging cutting-edge AI and ML technologies. You will design and manage the enterprise knowledge graph, implement personalized search experiences, and drive AI- powered innovations to enhance search relevance and ITSM workflows. What You Will Do: Build and structure our enterprise knowledge graph to organize content, people, and activity into meaningful relationships for better search relevance. Develop and refine personalized ranking models that adapt to user behavior and improve search results over time. Design ways to adapt AI language models to each customerʼs data for enhanced accuracy and context. Explore innovative methods to combine LLMs with search engines for answering complex queries Write clean, robust, and maintainable code that integrates smoothly with multi-tenant systems. Collaborate with cross-functional teams to align search capabilities with ITSM workflows. Mentor junior engineers or learn from experienced ones to grow as a technical leader. What You Should Have 3-5 years of experience working on enterprise search products with AI/ML integration. Expertise in multi-tenant systems and securely integrating with external customer systems. Hands-on experience with tools like Elasticsearch, Solr, or similar search platforms. Strong coding skills in Python, Java, or equivalent languages. A passion for solving complex problems with AI and delivering intuitive user experiences. Important notice for candidates: Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles at Atomicwork. Only apply through official Atomicwork channels. We do not use third-party agencies or individuals who ask for payments in exchange for interviews or offer letter

Location: Come and join us in Barcelona! At Freenow, we shape the future of urban mobility, empowering people to move freely and helping cities thrive through smarter, sustainable choices. We are looking for a dynamic Supply Operations Lead to supercharge our central supply operations, with a razor-sharp focus on Funnel Management (Driver Acquisition & Retention) and elevating the overall Driver Experience (Engagement, Education, & Communication). In this high-impact role, you will ensure central programs are executed with absolute excellence across regions. You will champion the voice of our markets by channeling structured local feedback into global program designs, bridging local needs with scalable operational mastery to deliver world-class experiences across our diverse European footprint. YOUR DAILY ADVENTURES WILL INCLUDE: Ownership of Supply related KPIs such as Active and New drivers, Retention, NPS and Supply volume Act as the key interface between central and local teams, cascading priorities and frameworks while providing structured feedback on market insights, regulatory risks, and operational constraints to influence global program design, and scaling best practices across markets Translate global strategies into clear regional plans, operating procedures, defining ownership, timelines, success metrics, and governance structures to ensure consistent execution across all markets. Analyse driver retention performance, align stakeholders on key initiatives, and drive continuous improvement across teams Supporting markets and Marketplace teams with engagement and acquisition initiatives to steer supply levels towards targets Support in building and improving end-to-end communication strategies across different channels tailored specifically for our drivers and maximising retention and engagement, in collaboration with local ops, marketing and other central teams Optimising the Driver NPS and other satisfaction metrics, by translating insights

Staff Engineer - Enterprise Search Overview We are looking for an experienced Enterprise Search Lead to build and optimize our multi-tenant enterprise search solution. This role focuses on creating scalable systems that integrate seamlessly with customer environments, leveraging cutting-edge AI and ML technologies. You will design and manage the enterprise knowledge graph, implement personalized search experiences, and drive AI-powered innovations to enhance search relevance and ITSM workflows. What You Will Do Build and structure our enterprise knowledge graph to organize content, people, and activity into meaningful relationships for better search relevance. Develop and refine personalized ranking models that adapt to user behavior and improve search results over time. Design ways to adapt AI language models to each customer’s data for enhanced accuracy and context. Explore innovative methods to combine LLMs with search engines for answering complex queries. Write clean, robust, and maintainable code that integrates smoothly with multi-tenant systems. Collaborate with cross-functional teams to align search capabilities with ITSM workflows. Mentor junior engineers or learn from experienced ones to grow as a technical leader. What You Should Have 5+ years of experience working on enterprise search products with AI/ML integration. Expertise in multi-tenant systems and securely integrating with external customer systems. Hands-on experience with tools like Elasticsearch, Solr, or similar search platforms. Strong coding skills in Python, Java, or equivalent languages. A passion for solving complex problems with AI and delivering intuitive user experiences. Important notice for candidates: Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles at Atomicwork. Only apply through official Atomicwork channels. We do not use third-party agencies or individuals wh

Location: Come and join us in Barcelona! At Freenow, we shape the future of urban mobility, empowering people to move freely and helping cities thrive through smarter, sustainable choices. We are looking for a dynamic Supply Operations Lead to supercharge our central supply operations, with a razor-sharp focus on Funnel Management (Driver Acquisition & Retention) and elevating the overall Driver Experience (Engagement, Education, & Communication). In this high-impact role, you will ensure central programs are executed with absolute excellence across regions. You will champion the voice of our markets by channeling structured local feedback into global program designs, bridging local needs with scalable operational mastery to deliver world-class experiences across our diverse European footprint. YOUR DAILY ADVENTURES WILL INCLUDE: Ownership of Supply related KPIs such as Active and New drivers, Retention, NPS and Supply volume Act as the key interface between central and local teams, cascading priorities and frameworks while providing structured feedback on market insights, regulatory risks, and operational constraints to influence global program design, and scaling best practices across markets Translate global strategies into clear regional plans, operating procedures, defining ownership, timelines, success metrics, and governance structures to ensure consistent execution across all markets. Analyse driver retention performance, align stakeholders on key initiatives, and drive continuous improvement across teams Supporting markets and Marketplace teams with engagement and acquisition initiatives to steer supply levels towards targets Support in building and improving end-to-end communication strategies across different channels tailored specifically for our drivers and maximising retention and engagement, in collaboration with local ops, marketing and other central teams Optimising the Driver NPS and other satisfaction metrics, by translating insights

Location : Come and join us either in Berlin or Hamburg! Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. One of our bold bets for 2026 is bringing that same mission to healthcare: building a completely new business line that brings hospitals and medical institutions into the digital age, replacing paper forms and phone calls with a platform that just works. We're looking for a structured, curious, and driven Business Development Manager / Project Lead to help build this from the ground up! In this position, you will take ownership of shaping and developing our approach to hospitals and medical institutions across Germany. This starts by early-stage research and defining the right go-to-market approach, through piloting with individual institutions, to building the long-term relationships and processes that turn a pilot into a scalable business. Are you ready for your next ride? YOUR DAILY ADVENTURES WILL INCLUDE: Research and map the German hospital and healthcare market, identifying relevant institutions, decision-makers, and their specific operational challenges Design and run pilots with individual institutions, gathering data and feedback to refine our approach before scaling Coordinate onboarding and implementation, ensuring hospitals are set up successfully and issues are resolved quickly Translate market and client insights into recommendations for Product and Operations, helping shape how our Health solutions evolve Prepare presentations and reports for senior management, detailing project progress, market trends, and strategic recommendations TO BE SUCCESSFUL IN THIS ROLE: +3 years of experience in consulting, project management, business development, or a related field; experience in the healthcare sector is a plus! Fluency in German and English is required due to regular interaction with clients and internal stakeholders Strong ability to structure ambiguous problems and build a working approach from

SPECIFIC JOB RESPONSIBILITIES Pipeline Management: Maintain high-throughput streaming pipelines to ingest logs from various sources (Firewalls, Cloud, Endpoints) to a central destination. Log Normalization: Write parsers to convert raw, messy logs into standard schemas (e.g., OCSF or ECS) for consistent querying. Cost Optimization: Implement routing logic to send "high-value" data to the SIEM and "bulk" data to low-cost Object Storage (Data Lake). Data Preparation: Clean and structure data to enable AI/ML detection models and advanced analytics. EXPERIENCE REQUIRED Data Engineering: Proficiency in Python (for ETL) and SQL (for complex querying). Streaming Tech: Experience with Message Queues (e.g., Kafka, Pub/Sub) and stream processing concepts. Log Handling: Mastery of Regex and log parsing strategies for standard formats (Syslog, CEF, JSON). Storage Architecture: Understanding of Data Lake principles (Parquet/Avro formats) vs. Data Warehouses. QUALIFICATIONS, SKILLS, & KNOWLEDGE Experience with Vector Databases for storing embeddings. Knowledge of Log Observability/Routing tools (middleware that routes logs). Familiarity with Big Data frameworks (e.g., Spark, Flink). PROFESSIONAL DEVELOPMENT EXPECTATIONS Ability to embrace Clearwater's CLEAR core values (Commitment to Client Success, Lead with Accountability, Integrity & Collaboration, Excellence in All That We Do, Advance Colleague Success, Respect & Transparency) and culture. The base salary range for this role is 35,000- 45,000]. Base salary is part of our total rewards package which also includes the opportunity for merit-based salary increases, eligibility for our 401(k) plan, medical, dental, vision, life and disability insurances and leaves provided in line with your work state. Our robust time-off policy includes flexible paid time off, 11 paid holidays, and paid sick time. Total compensation, including base salary to be offered, will depend on elem

Description: Graviton Research Capital LLP, Gurgaon is looking to hire Software Engineers for our Core Technology team which has some of the best programmers in India working on cutting edge technologies to build a super fast and robust trading infrastructure handling millions of dollars worth of trading transactions every day. As a Senior Software Engineer with Graviton your responsibilities will include: Designing and implementing a high-frequency automated trading system, that trades on multiple exchanges Building live reporting and administration tools for the trading system Performance optimization and improving the overall latency of systems, through algorithm research and using cutting edge tools and techniques End-to-end ownership of modules, including designing, development, deployment and support Growing the team through involvement in the regular hiring process and occasional campus recruitments Requirements : The ideal requirements for our candidates are: A degree in Computer Science 3-5 yrs Experience with C/C++ and object-oriented programming Experience in HFT industry Expertise in algorithms and data structures Excellent problem solving skills Strong communication skills A working knowledge of Linux systems Any of the following is a plus: A good understanding of TCP/IP and Ethernet Knowledge of any other programming language e.g. Java, Scala, Python, bash, Lisp, etc. Familiarity with parallel programming models and parallel algorithms Experience with big data environments e.g. Hadoop, Spark etc. Benefits: Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great ideas and technological innovations. Everyone on the team is approachable, there is nothing better than working with friends! Our perks have you covered. Competitive compensation Annual international team outing Fully covered commuti

AI/ML – Investment Services A Career with Point72's AI/ML – Investment Services Team The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning. WHAT YOU'LL DO Build and scale core backend services and platforms that power generative AI applications and data infrastructure used across the firm’s investment workflows Design and implement high-throughput, low-latency data pipelines to ingest, normalize, and serve both structured and unstructured data Develop robust APIs and microservices to support model inference, feature serving, and downstream applications Integrate generative AI tools and model-serving workflows into production, including embedding stores, retrieval components, and fine-tuning pipelines Optimize system performance, cost, and reliability through profiling, capacity planning, and architectural improvements Implement automated testing, continuous delivery pipelines, monitoring, and incident response practices to maintain production health Partner with data scientists, AI engineers, product owners, and operations to translate models and prototypes into scalable, production-grade solutions Mentor engineers, lead code reviews, and establish engineering best practices for maintainability, security, and observability Own end-to-end delivery, operational runbooks, and metrics-driven measurement of feature impact and system reliability WHAT'S REQUIRED Bachelor’s degree in computer science, software engineering, or a related technical field Minimum 5+ years of professional experience building backend systems and production services Demonstrated experience designing and operating large-scale data engineering pipelines

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions. The next frontier for AI is the physical world. We're looking for an AI Product Manager to own the Robotics vertical within our Physical AI team. In this role, you'll own both the development of the data and training environments (the teleoperated demonstrations, real-world collections, simulated tasks, and annotation products that labs use to train and evaluate robot policies) and the "data as a product" strategy that powers them. You'll understand where physical AI is headed, decide what robot tasks and embodiments are worth collecting, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. The ideal candidate has lived inside robotics or physical AI research, and is able to pair that domain understanding with a sense for where current robot policies succeed and fail in real-world workflows. You'll translate that expertise into datasets, environments, and evaluation frameworks that teach robots to do real physical work, and you'll be the domain expert Scale's most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary. What You'll Do Own the Robotics AI roadmap & data strategy: Set product direction for the robotics training stack and the data strategy behind it — what data we collect, on which hardware and embodiments, and what we source internally vs. through our marketplace. Establish a vision for where physical AI is heading, driving execution across engineering, operations, and go-to-market teams. Build partnerships with research teams at frontier labs: Work directly with researchers at leading physical AI labs to understand where their robot p

Join the team shaping the future of AI at Scale. Scale builds RL environments: sandboxed replicas of the digital spheres where real knowledge work occurs and built from the operating data of the companies that actually hold it. As the Data Acquisition Lead , you will own the commercial motion that gets us that data end to end. You will figure out which companies sit on the data for the next domain worth owning and then go and get it. This is a zero-to-one function with no playbook. You should be prepared to wear many hats, from thesis-driven dealmaker to hands-on operator to technical translator between commercial and Research teams. You will: Map the supply side. Work backwards from where labs are pushing to the specific organizations holding the underlying data. Build a thesis on which domains are worth owning and in what order. Invent the deal structures. You'll work with Scale’s legal team to define the first version of how these transactions get priced. Close. Own it from cold outreach to signature. Close the loop with the technical side. You need to hold a real conversation about what makes a dataset trainable and become an expert in what makes this underlying data valuable. Build the machine. Do the work by hand first, then turn what you learn into a repeatable pipeline. Ideally, you’d have: 5+ years across some mix of business development, corp dev, commercial strategy, or early-stage GTM. The label matters less than a track record of building a commercial motion that didn't exist before you got there A strong track record of managing important external relationships Strong business judgment and the ability to evaluate partnership value quickly Clear communication skills and comfort working with senior stakeholders Ability to operate independently while staying closely connected to cross-functional teams A practical, hands-on approach to building new functions from the ground up Comfort working in fast-moving, ambiguous environments Experience in

Owns day-to-day deal pricing execution for Enterprise, including pricing calculations, staffing inputs, and dashboard reporting that gives Sales and Deal Desk leadership visibility into deal status, pricing, and margin. Partners with the Deal Desk Manager on customer deal structuring and on identifying ways to accelerate the deal approval process. What You’ll Do Deal Pricing Execution Manages day-to-day deal pricing calculations for Enterprise deals, including ROI modeling and EPD staffing inputs Applies existing pricing frameworks consistently across Land, Expansion, and Framework deals Partners with the Deal Desk Manager to design customer-specific deal structures for non-standard or complex deals Pricing & Deal Status Reporting Builds and maintains a pricing dashboard tracking deal status, pricing, margin, and overall deal health across the Enterprise pipeline Updates pricing and trend reporting to keep leadership current on where deals stand and how pricing is trending against targets Process Optimization Identifies bottlenecks in the deal review & approval process and proposes ways to accelerate cycle time Helps standardize and streamline recurring pricing/approval steps into repeatable, lower-friction workflows Tracks deal approval cycle time and surfaces trends to inform process improvements Cross-Functional Deal Coordination Owns deal crafting end-to-end from initial pricing/modeling through contract review, coordinating with sales management, reps, and internal stakeholders Ensures the relevant stakeholders (Accounting, Finance, EPD, Legal) review and approve deals at the appropriate stage before they progress Routes deal packages to the correct reviewers and tracks open items so deals aren't stalled waiting on sign-off Strategic & GTM Support Tackles ambiguous, open-ended questions around Scale's go-to-market motion and iterates quickly on solutions that deliver measurable results Supports Sales and Finance leadership in quarterly strategy and

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world’s most important decisions. We’re looking for an AI Product Manager to own the Finance vertical within our Agents Data & Reinforcement Learning Environments team. In this role, you’ll own both the development of RL environments (the realistic, high-fidelity simulations of financial software and workflows that labs use to train and evaluate agents) and the “data as a product” strategy that powers them. You’ll understand where AI is being used in the Finance industry, decide what financial tasks are worth modeling, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. The ideal candidate has lived inside the Finance industry, and is able to pair that domain understanding with a sense for AI research and current agent capabilities in Finance workflows. You’ll translate that expertise into environments and datasets that teach AI agents to perform real financial work, and you’ll be the domain expert Scale’s most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary. What You’ll Do Own the Finance AI roadmap & data strategy: Set product direction for the Finance agents training stack and the data strategy behind it. Establish a vision for where AI is continuing to transform the Finance industry (including investment banking, private equity, public markets, corporate finance, FP&A, etc), driving execution across engineering, operations, and go-to-market teams. Build partnerships with research teams at frontier labs: Work directly with researchers at leading AI labs to understand where their Finance agentic capabilities fall short and shape new product lines and competit

Role Overview Scale’s EMEA GTM team is scaling rapidly across complex, high-stakes government markets. Our commercial motion spans country leads, account executives, strategists, solutions engineering, engagement management, partnerships, delivery, finance, legal, and product - all operating in fast-moving, region-specific environments. We are hiring a Sales Enablement Lead to build the enablement engine for EMEA GTM. This role will report to the Head of Commercial Strategy and Operations and will be responsible for ensuring every seller, strategist, and field partner has the knowledge, materials, onboarding, operating rhythms, and deal support needed to execute with speed and quality. This is a hands-on builder role. You will create the infrastructure that helps the team ramp faster, sell more consistently, reuse what works, and translate a complex AI product and public-sector GTM motion into practical field execution. What You’ll Do Build and own EMEA GTM onboarding Design and run a structured onboarding programme for new EMEA GTM hires across sales, strategy, solutions, and adjacent commercial roles. Create role-specific ramp plans, learning paths, certification moments, manager check-ins, and practical field exercises. Partner with Commercial Operations, People, Recruiting, and GTM and EPD leadership to ensure new hires understand Scale’s products, market context, customers, sales process, operating model, and expectations. Own the EMEA GTM knowledge base Build and maintain a centralised source of truth for EMEA GTM materials, including pitch decks, account planning templates, customer FAQs, qualification guides, use-case libraries, demos, proposal examples, talk tracks, win/loss learnings, and market-specific collateral. Keep materials current, easy to find, and clearly organised by market, role, product area, customer segment, and sales stage. Partner with central Sales Enablement, Product Marketing, Solutions Engineering, Legal, Finance, Delivery, and Pr

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a Design Verification Engineer to contribute to the unit-level verification of our RISC-V CPU front end—including instruction fetch, branch prediction, and surrounding fetch control structures. As a key individual contributor within our front-end DV team, you will focus on building testbenches, generating stimulus, and developing checkers for complex microarchitectural scenarios. This role is hybrid, based out of Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Front-End Experience: Solid background verifying CPU front-end blocks—such as instruction fetch, branch predictors (BTB, TAGE, RAS), instruction caches/TLBs, or decode—using SystemVerilog, UVM, and C++. Unit-Level Focus: Hands-on experience building clean, controllable unit testbench environments with precise stimulus and checking. Reusable Design: Pragmatic approach to building transactors, predictors, and scoreboards that can be reused across verification levels. Collaborative Problem Solver: Comfortable working alongside RTL designers to trace and fix misspeculation, redirect, and edge-case fetch bugs. What We Need Unit-Level Verifica