Mobile Software Engineer - iOS

Databricks is hiring an Engineering Manager for the Application Frameworks group in Mountain View, California. This position leads a team focused on designing and improving frameworks that help businesses unlock greater value from their data. The team’s work emphasizes scalable solutions that enhance both usability and performance for Databricks users. Role overview This manager guides a team of engineers dedicated to building application frameworks. The work involves close collaboration with partners across the company to define project goals and requirements. Managing project timelines and ensuring that deliverables meet Databricks quality standards are key parts of the role. Creating an environment where team members can innovate and perform at a high level is central to success. What you will do Lead and support an engineering team working on application frameworks Collaborate with cross-functional partners to set project direction and requirements Oversee project schedules and ensure outcomes align with company standards Encourage a culture of collaboration and innovation within the team Requirements Proven experience managing technical teams, preferably in software or application development Interest in data, AI, and building tools that simplify complex systems Skill in setting priorities and guiding teams to achieve ambitious goals This role suits those interested in building and scaling frameworks that influence the future of data and AI at Databricks.

Join Google Fiber as a ServiceNow Application Engineer, where you will play a crucial role in enhancing and maintaining our ServiceNow platform. Your expertise will help us deliver exceptional service management solutions that drive efficiency and customer satisfaction.As a key member of our engineering team, you will collaborate with cross-functional teams to design, develop, and implement solutions that align with our business goals. Your contributions will ensure that our systems are robust, scalable, and user-friendly, enabling us to provide the best possible experience for our customers.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has developed the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save thousands of lives currently lost to traffic accidents. The Waymo Driver operates Waymo’s fully autonomous ride-hail service and is adaptable to various vehicle platforms and use cases. With over ten million rider-only trips, our technology has autonomously driven more than 100 million miles on public roads and processed tens of billions of miles in simulation across more than 15 U.S. states.The Waymo ML Frameworks & Efficiency team collaborates closely with Research and Production teams to design and implement models in Perception and Planning, which are essential components of our autonomous driving software. We provide our partners with the most effective frameworks for the entire model development lifecycle and innovative efficiency solutions for model execution, tailored to the unique challenges of machine learning in autonomous driving.We are seeking talented engineers with expertise in ML frameworks or ML systems to enhance computational efficiency in both cloud environments and vehicle systems. You will engage with the entire ML stack, from deep learning model architectures to accelerator runtimes, working alongside ML modeling teams to drive large-scale efficient model training and inference.

Coupang is looking for a Staff Backend Engineer focused on Application Infrastructure to help shape the backbone of its large-scale e-commerce platform. This position is based in Mountain View or Seattle. Role overview This role centers on building and maintaining backend systems that are both scalable and reliable. The work supports the platform's growth and ensures that applications perform well under heavy demand. What you will do Design, develop, and maintain backend applications for Coupang’s e-commerce infrastructure Work closely with teams across the company to deliver solutions that meet business and technical needs Focus on system performance, reliability, and security throughout the development process Collaboration Expect to partner with engineers, product managers, and other stakeholders to deliver backend systems that serve millions of users.

The Enterprise Applications team at Databricks is embarking on an exciting journey to revolutionize our business operations. Our objective is to create robust, in-house platforms and AI-driven capabilities that deliver a substantial competitive edge, facilitating our next significant growth in size and revenue. As a Staff Software Engineer within the Enterprise Applications team, you will be pivotal in delivering comprehensive applications that enhance our business operations and equip our employees with genuinely assistive technologies. Your role will involve defining the technical roadmap, designing essential software systems, elevating engineering excellence, mentoring junior engineers, and addressing the most pressing technical challenges our team faces. You will serve as the technical lead for a group of software engineers.

Coupang stands out as a major e-commerce company in South Korea, recognized for its reliability and drive to innovate. The company blends the energy of a startup with the scale and resources of a global public business. Teams move quickly, launching new services and growing rapidly. Employees are encouraged to take ownership and help shape the future direction of commerce. Role overview The Staff Backend Engineer - Application Infrastructure will be part of the Application Infrastructure team, working on foundational systems that support Coupang’s complex workflows. This position is greenfield, offering the chance to design and build core backend infrastructure from the ground up. The systems developed will enable fast workflow creation for various domain teams, including those responsible for Coupang’s rocket delivery service. The impact of this work reaches systems that handle hundreds of millions of dollars in revenue. Location Mountain View, USA Seattle, USA

The Enterprise Applications team at Databricks is embarking on an exciting journey to redefine our business operations. Our objective is to develop robust, in-house platforms and AI-driven capabilities that deliver a significant competitive edge, propelling us towards doubling our size and revenue.As a Senior Staff Software Engineer within the Enterprise Applications team, you will be pivotal in designing and implementing end-to-end applications that enhance our business functionalities and equip our employees with truly assistive technologies. Your responsibilities will include defining the technical roadmap, designing essential software systems, elevating engineering standards, mentoring junior engineers, and addressing the most complex technical challenges the team faces. You will serve as the technical leader for a team of talented software engineers.

Intrinsic Robotics, part of Google, works to expand what industrial robots can do by applying AI, perception, and simulation. The team focuses on making robotics smarter, more accessible, and easier to use for businesses, entrepreneurs, and developers. Engineers, roboticists, designers, and technologists at Intrinsic aim to unlock new creative and economic potential in the field. Role Overview The Application Engineer - Intelligent Manufacturing Automation will join the automation team in Mountain View, California. This role centers on integrating and developing robotics solutions for manufacturing automation. The work covers process design, software features, and the application of advanced AI technologies. Collaboration with both internal teams and industry partners is a key part of deploying robotic systems in real production environments. Main Responsibilities Lead technical development and integration of advanced robotic automation solutions for manufacturing, using the Intrinsic platform, ROS, and modern AI technologies. Work directly with research and industry partners to combine AI and automation within factory environments. Document designs, processes, and results in detail to ensure clear communication with technical teams and partners.

Waymo, a pioneering autonomous driving technology company, is on a mission to become the most reliable driver in the world. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to creating the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and save countless lives currently lost to traffic accidents. The Waymo Driver is the backbone of Waymo’s fully autonomous ride-hailing service and is adaptable across various vehicle platforms and use cases. Having completed over ten million rider-only trips and accumulated over 100 million miles of autonomous driving on public roads, alongside tens of billions of miles in simulation across 15+ U.S. states, Waymo is at the forefront of this transformative technology.The Onboard Frameworks Team is essential in providing the foundational components necessary for developing Waymo's onboard software ecosystem. This team collaborates closely with onboard engineers to design, implement, and deploy critical APIs, streamline development workflows, and provide tools that significantly enhance the development speed across the organization.

Join Databricks, where we are dedicated to empowering data teams to tackle the world's most challenging problems, from enhancing AI research to driving next-generation applications. We achieve this by constructing and managing the premier data and AI infrastructure platform globally. Founded by engineers and fueled by a commitment to our customers, we take on the most challenging technical tasks, whether it's scaling distributed systems across multiple clouds or ensuring reliable, low-latency communication between thousands of services. And this is just the beginning. As a Senior Software Engineer on the Application Traffic team, you will design and develop the systems that facilitate Databricks’ service-to-service communication across thousands of clusters in a multi-cloud environment. You will also contribute to creating abstractions that simplify networking complexities for product teams, ensuring seamless connectivity, discovery, and reliability by default.

Join Moveworks as a Staff Application Security Engineer and play a pivotal role in enhancing the security of our applications. You will collaborate with cross-functional teams to implement best practices in application security, conduct security assessments, and drive initiatives that safeguard our systems and data.

Harness is revolutionizing software delivery with its AI-driven platform, spearheaded by visionary technologist and entrepreneur Jyoti Bansal, the founder of AppDynamics which was acquired by Cisco for $3.7B. With an impressive funding of approximately $570M and a valuation of $5.5B, we are backed by leading investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As AI transforms code creation, we recognize that the main bottleneck now lies in post-code processes—testing, deployment, application security, reliability, compliance, and cost optimization. Harness harnesses AI and automation to streamline this crucial “outer loop,” empowering teams to deploy software at speed while ensuring robust security and governance throughout the software delivery lifecycle.Utilizing Harness AI and our Software Delivery Knowledge Graph, the Harness Platform delivers deep contextual insights and intelligent automation across the software delivery lifecycle, embedding governance and policy-driven controls throughout the platform.In the past year, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, and 3 trillion protected API calls while managing $2.8 billion in cloud expenditures. Our customers, including United Airlines, Morningstar, and Choice Hotels, have experienced a remarkable acceleration in release speeds by up to 75% and reductions in cloud costs by up to 60%, achieving a tenfold increase in DevOps efficiency.With a diverse team distributed across 14 offices in 25 countries, Harness is at the forefront of shaping the future of AI software delivery—and we are on the lookout for exceptional talent to accelerate our journey.Position SummaryThis role falls under the AppSec Foundations charter, concentrating on the design and development of core authentication, authorization, and common services infrastructure that supports Harness's security ecosystem. The team is tasked with constructing foundational Role-Based Access Control (RBAC) systems, implementing service-to-service authentication, audit logging, and common security services to facilitate secure access across all Harness modules, including the AppSec Platform, CI/CD, and other offerings.The Foundations team acts as the security cornerstone for Harness’s multi-product platform, providing vital authentication and authorization services that guarantee secure, scalable access management throughout the software delivery lifecycle.

Join Moveworks as a Senior Application Security Engineer, where you will play a critical role in safeguarding our applications and systems. You will collaborate with cross-functional teams to identify vulnerabilities and implement robust security measures. Your expertise will be crucial in shaping our security strategy and ensuring compliance with industry standards.

Harness builds an AI-driven Software Delivery Platform, founded by Jyoti Bansal, who previously created AppDynamics. The company has raised about $570 million and is valued at $5.5 billion, with support from investors like Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. Harness integrates AI and automation into software delivery, focusing on areas beyond code generation: testing, deployments, application security, reliability, compliance, and cost management. Their platform uses the Software Delivery Knowledge Graph to provide context and automation, embedding governance and policy controls for compliance and security. In the past year, Harness supported over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, and protected 3 trillion API calls, while managing $2.8 billion in cloud spend. Clients such as United Airlines, Morningstar, and Choice Hotels have seen significant improvements in release speed, cloud cost reduction, and DevOps efficiency. Harness operates in 26 offices across 25 countries. Role overview The Director of Product Management will own key components of the Application Security (AppSec) platform. This position focuses on DevSecOps-integrated security, Application Security Testing (AST), Application Security Posture Management (ASPM), and AI-enhanced AppSec workflows. The role carries full business responsibility for the Security Testing Orchestration (STO) module, including vision, strategy, and profit and loss. Oversight of SAST and Software Composition Analysis (SCA) will be managed through a team of product managers. The director will set priorities for orchestration and remediation of security throughout the Software Development Life Cycle (SDLC), serving global enterprise clients. What you will do Lead the vision, strategy, roadmap, and P&L for Security Testing Orchestration (STO) and related AppSec features Manage the strategy and roadmap for STO, SAST, and SCA as primary responsibilities Guide Application Security Posture Management (ASPM) and vulnerability correlation Drive CI/CD-native DevSecOps integrations Advance AI-driven and agentic AppSec workflows Define comprehensive AppSec workflows across the SDLC Work closely with engineering teams to ensure scalable solutions are delivered and implemented

About Us:Aeva is at the forefront of innovation, dedicated to delivering transformative perception technologies that enable a wide array of applications, from autonomous driving to industrial robotics, consumer health, security, and more. Our pioneering sensing and perception solutions integrate all essential LiDAR components onto a silicon photonics chip, creating a compact module that redefines the standards of operational efficiency. Aeva’s 4D LiDAR sensors uniquely measure instantaneous velocity alongside 3D positioning, empowering autonomous devices—such as vehicles and robots—to make safer and more intelligent decisions.Role Overview:We are in search of a technically proficient and customer-centric Field Applications Engineer (FAE) specializing in optical sensors, LiDAR, or displacement sensing. This role will serve as the vital technical link between our clients and engineering teams, assisting in product evaluations, addressing complex application challenges, and ensuring a superior customer experience. The ideal candidate will possess a strong curiosity about customer applications, a comfort with intricate systems, and a passion for facilitating customer success with pioneering sensing technologies.

Job Title: Cloud Application Developer Location: Mountain View, CAContract Duration: 6-12 MonthsInterview Mode: Skype After PhoneWe are seeking talented Cloud Application Developers to join our dynamic team at Cygnus Professionals Inc. You will play a pivotal role in the development of our core cloud software, overseeing teams that create and deploy cloud services to support our expansive IoT ecosystem. Your expertise will ensure that our teams operate efficiently within an agile environment, collaborating closely with Product, Design, and Testing teams to meet project requirements and execute test plans in alignment with our objectives.

Waymo is a pioneering autonomous driving technology company dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™. Our mission is to enhance mobility access while saving lives that are currently lost to traffic accidents. The Waymo Driver facilitates our fully autonomous ride-hail service and is adaptable to a variety of vehicle platforms and product use cases. To date, we have completed over ten million rider-only trips, driven over 100 million miles on public roads, and performed tens of billions of miles in simulation across more than 15 U.S. states.The Waymo ML Frameworks & Efficiency team collaborates with both Research and Production teams to create core models in Perception and Planning essential to our autonomous driving software. We empower our partners by providing optimal frameworks throughout the model development lifecycle, encompassing both pre-training and post-training phases. Our frameworks are designed to efficiently scale models while addressing the unique challenges of machine learning in autonomous driving.We invite skilled engineers with expertise in machine learning systems to join us in refining and enhancing pre-trained models for deployment within the Waymo Driver and future products. You will collaborate with researchers and modeling engineers across the organization to tackle the complexities of large-scale reinforcement learning (RL), developing systems capable of scaling across various computational, data, and environmental contexts to enhance model intelligence and interpret human driving behaviors.

Join our dynamic team at Databricks as a Senior Fullstack Engineer for our innovative Agentic Applications. In this pivotal role, you will leverage your expertise in both front-end and back-end development to build scalable applications that empower our clients. You will collaborate with cross-functional teams to deliver high-quality software solutions that solve complex problems and enhance user experiences.

Role Overview DeepMind is seeking a Principal Engineer for the Gemini Application Infrastructure team in Mountain View, California. This position focuses on guiding engineering work to strengthen and expand the application infrastructure that supports Gemini. The role involves shaping systems for reliability, scale, and efficiency. What You Will Do Lead technical initiatives to improve and evolve the Gemini application infrastructure. Work closely with colleagues from various disciplines to design and deliver infrastructure solutions. Apply new technologies and methods that advance the capabilities of artificial intelligence applications.