Design And Cost Estimation Head Jobs

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. At Tenstorrent, we build open, state of the art compute for real workloads and real developers.You will own CPU core‑level verification, shaping how our out‑of‑order RISC‑V CPUs behave in silicon. This role is hybrid, based out of Bangalore, India. 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 You bring 8+ years in CPU verification or closely related digital design. You know high‑performance out‑of‑order CPU microarchitecture in depth. You work comfortably with RTL, waveforms, logs, and complex debug scenarios. You communicate clearly across design, DV, emulation, and post‑silicon teams. What We Need Plan and drive functional verification for CPU core features and complex microarchitectural scenarios. Develop UVM, assembly, and C/C++ based stimulus, functional models, and coverage for ISA, RISC-V extensions, and un-core components. Debug simulation and emulation regressions using RTL understanding, waveforms, and logs to identify and resolve issues efficiently. Build and enhance coverage models, testbenches, and debug infrastructure to improve verification quality and coverage closure. Collaborate with design, validation, and

About Prophecy The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. Don’t miss the rocket ship—join Prophecy and build the next data revolution. Position Summary This is a high-impact opportunity to be a senior DevOps engineer in a fast-growing startup, based in Prophecy’s India engineering center. You will own and evolve the foundations that keep our engineering org fast, secure, and cost-efficient at scale — spanning cloud cost management, security DevOps, and CI/CD and engineering operations. You will work with a team of dynamic engineers who take pride in solving complex problems, and you will have the autonomy to set direction in your areas of ownership. The Impact You Will Have Cloud cost (FinOps) Own and evolve our cloud cost optimization program across AWS, Azure, GCP, Databricks, Snowflake and Bigquery building on the programmatic monitoring and controls Analyze billing, asset-inventory, and utilization data across departments to identify wasteful spend and provide actionable insights to optimize it. Develop and maintain cost optimization strategies, roadmaps, and forecasting models Partner with engineering teams to design cost-efficient architectures without compromising scalability or reliability. Build and maintain automation for infrastructure provisioning, scaling, and cost control. Security DevOps Partner with engineering and security to drive our security-hardening program across workstreams such as identity & access governance, secrets & credential lifecycle, cloud access, and CI/CD hardening. Implement and automate guardrails: secrets management, least-privilege access, cr

We’re looking for a Staff Software Engineer to help shape AI governance for developer tooling at Coder. This role sits on our AI Governance team, which builds and maintains two enterprise-grade components of Coder's AI governance stack. AI Gateway is a centralized LLM gateway that sits between coding agents and providers such as OpenAI or Anthropic, providing organizations with audit trails, token tracking, cost control, and centralized authentication. Agent Firewall wraps those agents with default-deny network policies, controlling which domains and methods they can reach inside workspaces. This team works across the full stack - from Go backend and React frontend to integrating with LLM provider APIs. Day to day, you'll be shipping features, hardening security boundaries, collaborating with enterprise customers on real-world policy needs, and contributing to Coder's open-source ecosystem. What you'll do here Design and build product features that push the standard for remote development in self-hosted environments Create and improve upon popular open source projects that integrate with VS Code, JetBrains, and other developer tools Champion best practices to both internal team members and external contributors Collaborate with Product and Design teams at Coder, as well as with partners like JetBrains, to execute key product integrations Document the design, implementation, and operations of systems for knowledge sharing within the team Work alongside Customer Success teams to support Coder’s enterprise user base Work with cutting-edge AI technologies to create seamless, painless developer experiences Rapidly iterate from prototype to implementation in a highly adaptive, reactive team environment What we're looking for 8+ years of full-stack experience writing code in a professional setting, with 1+ year(s) writing Go (ideally in current or most recent position) Proficiency in building distributed systems in Go Excellent verbal and written communication skills Excep

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as a Partnerships Growth Ops to turn Qonto's partnership channel into a scalable, high-performing acquisition engine. You'll design and build the systems that automate how we manage partners — from acquisition to engagement — and make this channel a strategic growth driver across 8 European markets. You will report to Alexandre Laloo, our Head of Growth Operations. ➡️ What you'll do Automate the partnerships funnel: Identify, design, and ship internal solutions that eliminate manual workflows across the partner management lifecycle. Solve high-impact problems: Diagnose the biggest inefficiencies in the partnerships channel and craft solutions that maximise value while minimising operational cost. Own the channel roadmap: Take full ownership of the par

The DFP Engineer – Manufacturing role defines and implements the validation and screening of new silicon features within high‑volume manufacturing flows. You will translate product requirements into executable test methodologies, infrastructure, and detailed manufacturing test plans that ensure quality, yield, and efficiency at scale. This role sits at the intersection of multiple multi-functional teams to make manufacturing test an outstanding part of the overall codesign and DFP lifecycle. What you will be doing: Own end-to-end manufacturing test methodology across all test stages. Translate system specs and product POR into DFP requirements, test content, coverage, and flows. Define and maintain the DFP roadmap, including infrastructure and turning point planning. Partner multi-functionally to implement test content, debug hooks, and coverage improvements. Drive alignment on manufacturability, test time, binning strategies, and cost vs. coverage trade-offs. Embed testability requirements into design to enable robust screening and debug. Define data and analytics frameworks to support yield analysis and continuous improvement. Lead DFP documentation as the single source of truth and feed findings into future methodologies. What we need to see: MS in Electrical Engineering, Computer Engineering, or related field (or equivalent experience) 6&#43; years in silicon post‑silicon validation and/or high‑volume manufacturing test for complex SoCs, GPUs, CPUs, or similar. Hands‑on experience with test content bring‑up, limit setting, correlation to characterization, and yield/coverage optimization. Proficiency with scripting and data analysis (e.g., Python, MATLAB, R, SQL) for test data analytics, limit tuning, and yield/debug analysis. <

About Us: Samara Aerospace is revolutionizing satellite design by addressing the challenges of deploying and managing large satellite constellations. Our innovative Hummingbird spacecraft bus offers a modular and scalable platform that streamlines satellite production and deployment, significantly reducing launch costs. Hummingbird's compact architecture maximizes launch capacity, making it the most efficient and agile spacecraft in the industry. At the core of our technology is the patented Multifunctional Structures for Attitude Control (MSAC) system. Unlike traditional wheel-based pointing control systems, MSAC utilizes actuators embedded in the hinges of deployable solar panels to provide 3-axis attitude control and active jitter cancellation. This design eliminates the need for spinning wheels, reducing mass and potential points of failure, while enhancing pointing precision. Role: The Electrical Engineering team at Samara is seeking an Electrical Engineer to lead the design, layout, and testing of printed circuit boards for spacecraft electronics at our headquarters in San Francisco. This is a startup environment where you will own designs end-to-end, from early concept through production. A strong problem-solving background, hands-on testing skills, and experience with high-density PCB design and electronics integration. You'll work closely with experienced electrical, mechanical, and embedded software engineers to ensure the Hummingbird satellite's electronics are robust, manufacturable, and ready for the space environment. Responsibilities: Own PCB Design from circuit design, schematic capture, and PCB layout through bring up testing. Conduct trade studies that balance electrical performance, signal integrity, thermal management, manufacturability, cost, and schedule. Collaborate with embedded software engineers during board bring-up, debugging, and hardware-software integration. Support spacecraft and board-level integration, including hands-on assi

About the Role: As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi. A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine. You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams. Responsibilities: Design and build scalable, high throughput, and low latency distributed systems using Scala Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art. Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc. Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi. Your Background: Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM b

Cote Korean Steakhouse, located in the Miami Design District, is the carnivorous vision of proprietor Simon Kim that blends together the dining experience of Korean Barbeque together with the hallmarks of a classic American Steakhouse. Cote serves the highest quality USDA Prime beef accompanied by an impeccable 1200+ label wine list and a suite of classic-but-creative cocktails. We are professionals committed to ensuring exceptional hospitality and service to our customers. At COTE, we follow a simple mantra: 🥩 + 🔥 + 🍸 = 😊 The Restaurant Manager is a dynamic hospitality professional responsible for daily restaurant administration, maintaining facilities and DOH compliance, building & supporting excellent team morale and accountability, building customer relations and problem solving, and supporting the General Manager in all facets of the restaurant’s day to day operations and financial goals. They collaborate with all culinary and front of house departments to run the restaurant harmoniously in an efficient and cost-effective manner. They inspire team members to perform at their highest potential and drive great customer experiences in service nightly. Essential Job Duties & Responsibilities: Hospitality: Promotes the core values and culture of COTE, including but not limited to excellence in food and beverage, service, and hospitality. Liaises between the FOH and culinary team during service. Provides and oversees the service for all VIP customers when on property. Develops positive customer relationships and addresses customer service needs. Responds to customer feedback as needed. Operations: Oversees daily restaurant administration including payroll, opening/closing administration, service floor plans, daily walkthroughs, etc. Manages hourly employees in their daily responsibilities at COTE, providing clear, effective direction. Creates systems of accountability and provides consistent feedback, coaching, and disc

🚀 About Bolna Bolna is a platform to seamlessly build and deploy multilingual human-like Voice AI Agents capable of handling inbound and outbound calls. We're built for enterprises and fast-scaling teams handling high-volume phone workflows across recruitment, support, operations, and collections. Bolna dynamically routes each call across the best ASR, LLM, and TTS models by language, latency, and cost - so you get human-like conversations at scale without tuning infrastructure. We're solving the real-world bottleneck of scaling phone-based interactions without needing to hire, train, or manage large human agent teams. Why our Customers love us Ability to train agents and go live with 1,000s of calls in less than 2 days Massive increase in ROI-with agents matching human performance at 50% of the cost Effortless upscaling and downscaling based on calling requirements Transparent pricing (only per minute) and best-in-class support We are just getting started. If you want to work hard and create lasting impact, we'd like to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company - from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our product. About the role You’ll be a hands-on, high-agency designer with a strong product mindset. You won't just be pushing pixels; you'll design how users create, train, and launch Voice AI agents while deeply understanding the metrics that drive user success. Working closely with engineering and product teams, you’ll ship real features, run funnel analytics, and drive product ideation. If you enjoy sitting at the intersection of design, engineering, data, and business, this role is for you. What you'll

We’re looking for a Software Engineer to help shape AI governance for developer tooling at Coder. This role sits on our AI Governance team, which builds and maintains two enterprise-grade components of Coder's AI governance stack. AI Gateway is a centralized LLM gateway that sits between coding agents and providers such as OpenAI or Anthropic, providing organizations with audit trails, token tracking, cost control, and centralized authentication. Agent Firewall wraps those agents with default-deny network policies, controlling which domains and methods they can reach inside workspaces. This team works across the full stack - from Go backend and React frontend, to integrating with LLM provider APIs. Day to day, you'll be shipping features, hardening security boundaries, collaborating with enterprise customers on real-world policy needs, and contributing to Coder's open-source ecosystem. What you'll do here Design and build product features that push the standard for remote development in self-hosted environments Create and improve upon popular open source projects that integrate with VS Code, JetBrains, and other developer tools Champion best practices to both internal team members and external contributors Collaborate with Product and Design teams at Coder, as well as with partners like JetBrains, to execute key product integrations Document the design, implementation, and operations of systems for knowledge sharing within the team Work alongside Customer Success teams to support Coder’s enterprise user base Work with cutting-edge AI technologies to create seamless, painless developer experiences Rapidly iterate from prototype to implementation in a highly adaptive, reactive team environment What we're looking for 3+ years of full-stack experience writing code in a professional setting, with 1+ year(s) writing Go (ideally in current or most recent position) Proficiency in building distributed systems in Go Excellent verbal and written communication skills Exceptiona

We’re looking for a Software Engineer to help shape AI governance for developer tooling at Coder. This role sits on our AI Governance team, which builds and maintains two enterprise-grade components of Coder's AI governance stack. AI Gateway is a centralized LLM gateway that sits between coding agents and providers such as OpenAI or Anthropic, providing organizations with audit trails, token tracking, cost control, and centralized authentication. Agent Firewall wraps those agents with default-deny network policies, controlling which domains and methods they can reach inside workspaces. This team works across the full stack - from Go backend and React frontend, to integrating with LLM provider APIs. Day to day, you'll be shipping features, hardening security boundaries, collaborating with enterprise customers on real-world policy needs, and contributing to Coder's open-source ecosystem. What you'll do here Design and build product features that push the standard for remote development in self-hosted environments Create and improve upon popular open source projects that integrate with VS Code, JetBrains, and other developer tools Champion best practices to both internal team members and external contributors Collaborate with Product and Design teams at Coder, as well as with partners like JetBrains, to execute key product integrations Document the design, implementation, and operations of systems for knowledge sharing within the team Work alongside Customer Success teams to support Coder’s enterprise user base Work with cutting-edge AI technologies to create seamless, painless developer experiences Rapidly iterate from prototype to implementation in a highly adaptive, reactive team environment What we're looking for 3+ years of full-stack experience writing code in a professional setting, with 1+ year(s) writing Go (ideally in current or most recent position) Proficiency in building distributed systems in Go Excellent verbal and written communication skills Exceptiona

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a skilled and experienced Senior AI Engineer – AI Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation. Key Responsibilities: Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. Apply LLMs and other AI technologies directly to build and enhance ClickUp’s intelligent features, working closely with product and engineering teams to deliver impactful solutions. Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp’s core platform. Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost. Drive the adoption of best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence. Optimize platform performance, scalability, and cost-efficiency, leveraging cloud-native technologies and distributed systems. Stay curre

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a highly skilled Staff AI Engineer – AI Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation. Key Responsibilities: Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. Apply LLMs and other AI technologies directly to build and enhance ClickUp’s intelligent features, working closely with product and engineering teams to deliver impactful solutions. Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp’s core platform. Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost. Drive the adoption of best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence. Optimize platform performance, scalability, and cost-efficiency, leveraging cloud-native technologies and distributed systems. Stay current with ad

The Site Reliability Engineering team designs and builds the global infrastructure on which we deploy our services, focusing on the above mentioned flagship MongoDB Atlas platform. As our customers grow and globalize, our services must satisfy demands for low-latency requests around the globe, and comply with various data sovereignty requirements. The SRE Team’s mission is to build this increasingly complex infrastructure, while continually lowering the operational burden associated with it, and increasing our internal visibility into the health of the system. We are strong believers in infrastructure-as-code and self-healing systems. The SRE Team is fully integrated with all the other engineering teams, and the teams work closely together with a soft and traversable boundary between their areas of responsibility. We are looking to speak to candidates who are based in New York City for our hybrid working model. Responsibilities Design and build the infrastructure for a global cloud service that comprises hundreds of thousands of MongoDB clusters, processes a billion metrics per day, and replicates tens of billions of database writes to our backup service Design, implement, and troubleshoot the automation and monitoring of services that seamlessly spans the globe - including several cloud providers Become an expert in infrastructure performance, helping us optimize from the application level all the way through the firmware Build for resilience. Our goal is that nobody’s pager goes off, ever. Are we there yet? No. Are we really close? Very. While we work on that - participate in a weekly on-call rotation Improve our infrastructure capabilities, optimizing for cost, simplicity, and maintainability Requirements 3+ years of experience running a mission critical service at scale in a Linux environment Firm grasp of at least one modern programming language, beyond basic scripting Familiarity with web and network protocols and standards (HTTP, TLS, DNS, etc) Bachelor’s deg

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a Rack Power Engineer with deep expertise in high-power conversion and distribution to design, qualify, and support power systems for AI supercomputers. You will own rack power solutions—including power shelves, AC/DC rectifiers, power supply units (PSUs), power management controllers (PMCs), and high-current distribution—from requirements and supplier development through deployment. You will also monitor fleet rack power health, lead debugging and root-cause investigations, and drive improvements into hardware, firmware, and qualification coverage. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own rack power architecture and requirements for high-power AI supercomputing systems, including power budgets, AC input interfaces, DC distribution, redundancy, efficiency, serviceability, and integration with data center infrastructure. Drive the design and supplier development of power shelves, rectifiers, PSUs, PMCs, busbars, connectors, and protection circuits. Review electrical designs and control behavior, and evaluate performance, cost, reliability, and availability trade-offs. Define and execute component, shelf, and rack qualification plans covering load transients, current sharing, hot-swap, startup and shutdown, redundancy failover, fault protection and recovery, thermal limits, and AC disturbances and ride-through