Design And Cost Estimation Head Jobs

About the Team The Merchant (Mx) AI/ML team is a cornerstone of DoorDash’s merchant organization. We empower our restaurant partners to thrive on DoorDash by building intelligent, scalable AI systems that simplify operations, elevate their digital presence, and enhance customer engagement. Our world-class machine learning engineers develop production-grade AI solutions that power the entire merchant lifecycle — from onboarding and store setup to menu management, growth, and real-time order operations. The team is deeply customer-obsessed and impact-driven, focused on turning cutting-edge research in LLMs, multimodal learning, generative AI, and agentic automation into products that make our merchants more successful every day. About the Role We’re looking for an Engineering Manager to lead the Mx AI/ML team, driving the design and deployment of next-generation AI product solutions that power our merchant experiences. This is a highly cross-functional leadership role — you’ll collaborate with product, design, operations, and data science teams to define the AI roadmap, guide technical direction, and deliver end-to-end AI/ML solutions at massive scale. You’ll lead a team of talented ML engineers who are building real AI products delivered to merchants’ fingertips, helping them become more successful on DoorDash. You’re excited about this opportunity because you will… Lead and grow a team of exceptional AI/ML engineers developing production-grade machine learning and generative AI solutions for the merchant ecosystem. Define a multi-year strategy and execute the AI roadmap across key Mx pillars — Onboarding, Menu Media Understanding & Generation, Menu Metadata Intelligence, and Agentic Task Automation. Partner with product and operations to translate merchant pain points into scalable AI-powered solutions. Own the end-to-end lifecycle of ML systems — from ideation and experimentation to productionization and continuous improvement. Drive innovation in multimodal AI

About the Team DoorDash Labs is an independent innovation hub within DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. Our mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We are a highly senior team composed of former pioneers from a variety of different robotics industries. If you have a passion for applying AI and robotics solutions in a service used by millions of people, then we want to talk to you! Please Note: This role is based in San Francisco, CA, and requires being in-person 5 days a week. About the Role We are seeking a Senior RF Engineer to join our multidisciplinary team developing mission-critical RF/electrical systems for unmanned platforms.This role offers a rare opportunity to gain deep insight into RF design and validation, contributing across the full product lifecycle, from early concept and prototyping through production. In this role, you will apply deep expertise in electromagnetic theory and wireless system design to ensure autonomous platforms operate with exceptional reliability and precision. You will design, optimize and validate RF / mixed-signal PCBAs with a strong focus on interference mitigation, troubleshoot system-level desense, and leverage a thorough understanding of wireless technologies including LTE, 5G NR, Wi-Fi, GPS, and UWB. You’re excited about this opportunity because you will… Lead the development of innovative solutions that span across RF, Mixed signal and mechanical domain. Design RF hardware as well as wireless testbeds to support system validation, and lead the execution and documentation of system-level design and verification Provide expertise, mentorship to partner teams regarding EMI mitigation strategies, and cross-functional debug processes Characterize EMI caused by internal & external aggressors by tracing root causes using EMC probes

We are looking for a Full Stack Developer to join our growing engineering team. In this role, you will design, build, and operate scalable software platforms that support analytics and AI solutions — owning the full journey from intuitive user interfaces to robust cloud-native backends. What This Involves: Front-End Development Develop and maintain user interfaces for web applications using React and Next.js. Translate wireframes and design mockups into functional, accessible UI components. Identify and resolve front-end performance bottlenecks to ensure smooth user experiences. Write and maintain unit and integration tests for front-end components (e.g. Jest, React Testing Library). Back-End Development Develop and maintain high-quality back-end services and APIs using Python. Deploy, operate, and monitor applications in cloud environments (AWS, Azure, or GCP). Manage containerized applications using Docker and Kubernetes. Contribute to the design and evolution of scalable, cloud-native software architectures. Contribute to and maintain CI/CD pipelines for web and back-end applications. Collaboration and Quality Work closely with data scientists, engineers and project managers to deliver integrated end-to-end solutions. Support the development and deployment of AI and analytics solutions. Write clean, well-documented, and maintainable code across the full stack. Participate in technical discussions, code reviews, and continuous improvement initiatives. Adhere to internal and client-mandated data protection and compliance policies, ensuring all handling, storage, and sharing of data meets required security and privacy standards. Requirements: Bachelor’s degree in Computer Science or related fields. 5+ years of software development experience, with meaningful time on both front-end and back-end systems. Experience designing systems in cloud-native or distributed environments is a plus. Excellent communication and collaboration skills — comfortable working acros

Opportunity Get Well is looking for an experienced Senior Software Engineer to join our healthcare technology team and build next-generation, cloud-native and on-premise environment healthcare applications. You will play a key role in designing, developing, and deploying scalable, secure, and high-performance solutions that enable healthcare organizations to deliver better patient outcomes. The ideal candidate is passionate about software engineering, cloud technologies, AI-driven development, and healthcare interoperability standards. You will collaborate with cross-functional teams to build innovative products that meet healthcare compliance, security, and regulatory requirements. Key Responsibilities Design, develop, and maintain scalable cloud-native and on-premise environments, using modern software engineering practices. Build and enhance distributed microservices-based systems with high availability, performance, and security. Develop RESTful APIs and enterprise-grade backend services. Build responsive and modern user interfaces using contemporary frontend frameworks. Design and implement containerized applications using Docker and Kubernetes. Work with messaging systems and distributed event-driven architectures. Develop AI-powered applications leveraging Large Language Models (LLMs) Utilize AI-assisted development tools to improve engineering productivity and software quality. Build secure, compliant software aligned with healthcare regulations and industry best practices. Design and implement CI/CD pipelines and participate in DevOps initiatives. Collaborate closely with product managers, architects, QA engineers, and clinical domain experts. Integrate healthcare applications with industry interoperability standards including HL7, FHIR, and CDA. Participate in architecture discussions, code reviews, mentoring, and continuous improvement initiatives. Required Qualifications Bachelor's or Master's degree in Computer Science or related technical discipline. 5

Location: Mumbai, India (Andheri East) Description: We’re hiring Senior Software Engineers to lead the design and delivery of robust, scalable, and production-grade data systems across a high-growth, multi-venture environment. This is a high-impact leadership role for someone who thrives in hands-on build mode, and who can scale technical delivery without losing speed, quality, or ownership. If this is interesting, we would love to hear from you! About Blenheim Chalcot Blenheim Chalcot India is part of Blenheim Chalcot a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding £1.8 billion, and boasts total portfolio sales of over £500 million. The role We’re hiring Senior Software Engineers to build scalable products, tools, and systems across our portfolio companies. This is a high-impact role for someone who thrives in hands-on engineering, writes maintainable code, and is deeply motivated by solving real-world problems with technology. You’ll work closely with product and engineering colleagues in both Mumbai and London, driving delivery within a specific business. If you're passionate about engineering craft, product-led development, and delivering systems that scale, we’d love to hear from you. Behaviours that we look for Solve problems rigorously , not reactively - breaking them down into tractable elements and considering multiple paths to resolution. Write clean, defensive code with clear structure and minimal complexity. Think about testing and observability early , automating meaningful tests and implementing relevant metri

Learning & Development Partner – Data Engineering Business Experience: 10–13 Years Role Purpose The Learning & Development Partner will work closely with the Data Engineering business leadership to design, drive, and deliver learning strategies that build critical technical capability, leadership depth, and future-ready skills. This role acts as a strategic partner to the business, ensuring learning directly enables business growth, delivery excellence, and talent readiness. Key Responsibilities Business Partnership & Strategy Partner with Data Engineering leaders to understand business priorities, capability gaps, and future skill needs. Translate business goals into structured learning roadmaps covering technical, leadership, and behavioral competencies. Develop and execute an AI capability-building roadmap for employees, aligned with business priorities and emerging technology trends. Act as a trusted advisor to leaders on talent development and skill readiness. Technical and Capability Development Design and curate learning interventions for Data Engineering roles. Leverage internal Subject Matter Experts (SMEs) and external partners to create high-impact, contextual learning programs. Ensure learning pathways are role-based, progressive, and aligned to career growth. Leverage AI tools for content design and development, and learning operations. Leadership and Behavioral Development Support the design and delivery of leadership development programs for technical and people leaders within the Data Engineering function. Embed skills such as communication, stakeholder management, execution excellence, and people leadership. Learning Governance and Effectiveness Define success metrics to measure learning effectiveness and business impact. Review learning outcomes through feedback from managers, mentors, and participants. Continuously refine programs based on data, feedback, and evolving business needs. Leverage Learning Management Systems (LMS) to track

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. AI native product is fundamentally different engineering problem than building deterministic software: the same input won't always produce the same output, and "working" means the agent behaves well across the full distribution of real world scenarios, not that it passes a fixed test suite. We're looking for an Applied AI Engineer with 2-5 years of experience building and shipping AI systems used by professionals at enterprise. You're comfortable working with modern LLM-based systems and agentic workflows, and you know how to turn powerful models into reliable product features. You have strong product judgment and think deeply about tradeoffs between LLM approaches and traditional ML when designing solutions. You care about evaluation, iteration speed, and making sure AI systems actually drive measurable business impact reliably . What you'll do Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring. Investigate why agents underperform across context, knowledge, instructions, tools, routing, guardrails, or workflow design Design and ship targeted behavior improvements, including changes to prompting, cont

Location Details: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team... This position is for a Staff Software Engineer within GoDaddy’s engineering organization, concentrating on developing scalable, fault-tolerant systems and promoting technical excellence across various teams and projects. As a Staff Software Engineer, you will serve as a technical leader at the division level. You will impact system design and architecture, as well as how engineering is carried out across teams. This position suits engineers who excel in uncertain environments, like tackling difficult technical problems, and can provide clarity, structure, and delivery for large projects. Our teams focus on greenfield and open-ended projects that require firm technical ownership, architectural vision, and collaboration across functions. You will assist in establishing engineering standards, support teams through mentoring, and create systems that boost reliability, scalability, and developer efficiency organization-wide. This role is important for encouraging innovation throughout the engineering organization. It includes promoting AI-assisted development workflows, modern cloud-native methods, and reusable platform features that speed up development across teams. What you'll get to do... Technical Execution & Delivery Lead delivery of complex engineering initiatives while driving predictable execution and long-term technical quality Architect and implement highly available, fault-tolerant distributed systems using AWS, PostgreSQL/Aurora, and MongoDB Architect and lead greenfield projects from concept to production, bringin

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking Manufacturing Engineers to lead the development of processes, tooling, and prototype builds for custom motors and actuators. You will own a primary area as a Stator Process / Manufacturing Engineer, Tooling / Fixture Engineer, or Prototype Manufacturing Engineer, taking that work from early development through validation and repeatable execution in close partnership with mechanical, electromagnetic, electrical, test, quality, and supplier teams. These roles focus on the development, integration, and validation of electromechanical manufacturing capabilities, including stator winding processes, assembly and inspection tooling, and actuator prototype builds. You will help translate engineering designs into reliable hardware while establishing scalable processes, equipment, and build practices for future robotic platforms. This role is based in San Francisco, CA, and requires in-person presence 5 days a week. In this role, you will Each opening focuses on one of the three specialties below, with shared responsibility for reliable processes and hardware. Stator Process / Manufacturing: develop and validate stacking, winding, termination, and potting processes. Establish process parameters, work instructions, and defect controls that produce consistent results across trained operators. Tooling / Fixture: design and deliver winding tools, assembly fixtures, inspection gauges, and bench equipment, from CAD and drawings through fabrication, commissioning, and troubleshooting. Improve setup time, labor, and repeatability. Prototype M

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Our Infrastructure team is passionate about building software to solve problems at massive scale. We do this often, and when we believe our solution is worth sharing with the community, such as Envoy Proxy , we open source our ideas for the benefit of others. As a Infrastructure Engineer at Lyft, you will run our Production Infrastructure by monitoring system availability and take a holistic view of our platform health. You will build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you will seek opportunities to optimize our systems in order to push our platform forward, anticipating our customers' needs in order to continually improve the platform. You will provide Lyft partner teams with operational support to help them build robust large scale distributed systems. About the Team Data Pipelines is at the heart of all critical data flowing through Lyft supporting hundreds of services that impact millions of drivers and passengers every day. Our team’s mission is to empower Lyft engineers to self-serve in building and maintaining data pipelines as needed to support products that deliver the world’s best transportation experience. We leverage a variety of technologies to store, stream and manage data making it available to our internal customers. Responsibilities: Maintain and analyze metrics from; operating systems; control planes; and applications to assist in fault detection and performance enhancement Design, develop and deploy tooling and systems that continually improve the reliability, scalability and efficiency of our platform Balance feature development speed and reliability with service-level objectives Operate and improve our Infrastructure using industry best practices and tools Participate in design and

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem Write production modeling code; collaborate with software engineers to implement algorithms in production Design and run both simulated and live traffic experiments Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree at a university in Canada (required) in mathematical sciences ( Opera

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Every day, millions of riders and drivers depend on Lyft to get where they're going. When something goes wrong along the way, they expect us to make it right — quickly, clearly, and without friction. How fast and how well we resolve those moments shapes whether people keep choosing Lyft. The Self-Serve Intelligence team, within the Safety & Customer Care org, is composed of engineers building the AI-powered systems that do exactly that: resolving rider and driver suboptimal experiences without agent involvement through AI Assist (e.g. AI Agents), automations, and self-serve workflows. Our goal is to make getting help feel effortless. We design and build backend services, APIs, and GenAI-powered products that combine robust engineering with applied AI to deliver reliable, scalable self-serve experiences. We are looking for a highly motivated, collaborative, team-focused and technically strong Software Engineer to join our Self-Serve Intelligence team. As a member of this team, you will build the services and AI-powered products that resolve customer issues autonomously. Every day, you'll partner with machine learning engineers, product, design, data science, and operations on high-impact projects — from shipping new AI Agent capabilities, to building the evaluation pipelines that keep their quality high, to improving the backend services underneath them. You'll bring strong engineering instincts, genuine curiosity about applied AI, and a willingness to work through ambiguity in a space that changes month to month. Responsibilities: Write well-crafted, well-tested, readable, and maintainable code Partner with senior engineers to design, build, and ship backend services and GenAI-powered products (e.g. AI Agents) that resolve rider and driver suboptimal experiences Independently lead tasks fro

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We’re looking for a Robotics Control Systems Engineer to take on a foundational role within our robotics team. You’ll help architect, implement, tune, and verify the control infrastructure that enables intelligent, reliable, and responsive robot behavior. This is a deeply hands-on role focused on real-time systems, actuation, dynamics, low-level hardware interaction, and whole-robot performance. You’ll spend significant time working directly with robots onsite: debugging behavior, tuning subsystems, running experiments, and providing feedback across mechanical, electrical, and software teams. This role is based in San Francisco, CA, and requires in-person 5 days a week. In this role, you will: Design and implement real-time control algorithms for robotic systems, including motion control, feedback loops, state estimation, actuator control, and subsystem tuning. Define the control architecture from low-level actuators and hardware interfaces through whole-robot behavior and policy. Identify and characterize actuator, hardware, and software parameters through rigorous experimentation, testing, commissioning, and verification. Work with machine learning engineers to implement reinforcement learning models. Collaborate across mechanical, electrical, and software teams to integrate control logic with sensing and actuation hardware. Help inform the mechanical and electrical design to maximize capability and flexibility. Create the control system architecture; determine the correct level of abstraction from actuators all the way up to whole-robot

About the Team The Technical Support team is responsible for ensuring that developers and enterprises can reliably build mission critical solutions using OpenAI models. We provide technical guidance, resolve complex issues and support customers in maximizing value and adoption from deploying our highly-capable models. We work closely with Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. We think from an automation-first mindset and leverage the latest in AI to scale our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and help shape the future of Technical Support in the age of AI. About the Role We are looking for a Senior Support Engineer to collaborate directly with our strategic enterprise accounts and product teams, helping solve some of the most difficult problems faced by our Customers. You will be part of the best technical troubleshooting team at OpenAI, and our Customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. As a Senior Support Engineer, you will design and run operational processes to monitor our top strategic customers and a 24x7 response team. You’ll work closely with our Infrastructure and Engineering teams to deliver the best possible experience to customers at scale. Working directly with our most strategic Customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI API platform. The nature of this role will be low volume, high difficulty. This role is based in Singapore. 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: Be among the foremost technical and troubleshooting experts for our API platform at OpenAI. You are the last line of defense before the core Engineering team. Proactively identify and

#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As a Data Scientist at Nextdoor, you will help design and oversee product experiments and own complex analyses to drive company and product strategy. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group consists of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, physics, statistics, and operations research. We are an integral part of the product development organization and play an active and collaborative role in building and improving the product. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You'll Make We are looking for a Staff Data Scientist to accelerate execution on priority content investments and elevate the quality of product decision-making.