168 engineer python jobs found

About this role About BlackRock SMA Solutions: At BlackRock SMA Solutions, our strategies are designed to put our clients' and their clients' interests at the center of our investment advice; to minimize costs and taxes; and to incorporate each client's unique values-aligned preferences into their investment portfolio. Offering a full suite of tools for our clients, from direct-indexing to active equity and fixed income strategies-with evolution a constant part of our game. As a business, we are fast-growing and our systems need to grow along with it. We are looking for engineers who like to innovate and seek complex problems. We recognize that strength comes from teams with a variety of perspectives, and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual. Engineers looking to work in the areas of orchestration, data modeling, data pipelines, APIs, storage, distribution, distributed...

About this role About BlackRock SMA Solutions: At BlackRock SMA Solutions, our strategies are designed to put our clients' and their clients' interests at the center of our investment advice; to minimize costs and taxes; and to incorporate each client's unique values-aligned preferences into their investment portfolio. Offering a full suite of tools for our clients, from direct-indexing to active equity and fixed income strategies-with evolution a constant part of our game. As a business, we are fast-growing and our systems need to grow along with it. We are looking for engineers who like to innovate and seek complex problems. We recognize that strength comes from teams with a variety of perspectives, and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual. Engineers looking to work in the areas of orchestration, data modeling, data pipelines, APIs, storage, distribution, distributed...

About This Role About BlackRock SMA Solutions: At BlackRock SMA Solutions, our strategies are designed to put our clients’ and their clients’ interests at the center of our investment advice; to minimize costs and taxes; and to incorporate each client’s unique values-aligned preferences into their investment portfolio. Offering a full suite of tools for our clients, from direct-indexing to active equity and fixed income strategies—with evolution a constant part of our game. As a business, we are fast-growing and our systems need to grow along with it. We are looking for engineers who like to innovate and seek complex problems. We recognize that strength comes from teams with a variety of perspectives, and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual. Engineers looking to work in the areas of orchestration, data modeling, data pipelines, APIs, storage, distribution, distributed...

The pay range is $128,000.00 - $277,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits. JOIN TARGET AS A LEAD MACHINE LEARNING ENGINEER About Us: Working at Target means...

Job Description To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Location s * * (in priority order): Sunnyvale, California Mountain View, California Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. About the Role: As a Simulation Test Engineering AI/ML Software Engineer intern, you'll partner with senior engineers to develop, evaluate, and deploy AI/ML tools to scale the development of end-to-end simulation tests, which are used by GM for validation of the autonomous driving software stack. You'll learn about how simulation testing is performed at GM to evaluate AV stack performance, and your work will play a critical role in managing the creation and quality of these simulation tests throughout their lifecycle. About the...

Job Description GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. This internship may be considered remote for an individual in the Seattle area. Locations: Mountain View, California Sunnyvale, California Austin, Texas Detroit, Michigan Warren, Michigan Milford, Michigan About the Team The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and...

Job Description To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Location s * * (in priority order): Sunnyvale, California Mountain View, California Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. About the Role: As a Simulation Test Engineering AI/ML Software Engineer intern, you'll partner with senior engineers to develop, evaluate, and deploy AI/ML tools to scale the development of end-to-end simulation tests, which are used by GM for validation of the autonomous driving software stack. You'll learn about how simulation testing is performed at GM to evaluate AV stack performance, and your work will play a critical role in managing the creation and quality of these simulation tests throughout their lifecycle. About the...

Job Description GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the Mountain View, CA or Sunnyvale, CA office up to three times per week or as determined by the team. Locations: Mt. View, California Sunnyvale, California About the Team: The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous...

Software Engineer, Integration & System Validation (Starlink - Direct To Cell) Sunnyvale, CA Apply SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SOFTWARE ENGINEER, INTEGRATION & SYSTEMS VALIDATION (STARLINK - DIRECT TO CELL) The Direct to Cell network expand Starlink's vision by providing ubiquitous connectivity and seamless access to text, voice, and data for phones and devices across the globe. The Direct to Cell network leverages the infrastructure we've built for Starlink and provides cellular service through a constellation of hundreds of satellites. As an integration and system validation software engineer on the Direct to Cell program, your focus will be on validating cellular radio access network (RAN) features,...

Job Description GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) To help facilitate administration of the relocation stipend if you are selected and eligible, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. Location: San Francisco, California Sunnyvale, California Mountain View, California Seattle, Washington About the Team *: * We are building a state-of-the-art AI training...

Job Description We're on a journey to advance how health happens with technologies that empower patients, support clinicians, inspire innovation, and save lives. Our mission? To create a human-centric healthcare experience powered by unified global data. It's a big challenge, but big challenges are what we do best. We're already transforming some of the world's largest health systems-helping them turn data into lifesaving decisions and better patient care. We want people just as dedicated as we are to improving health equity and delivering quality care across the globe. If you're excited about making healthcare more human, you've come to the right place. As a member of the Oracle Health Foundations, you will apply basic to intermediate knowledge of software architecture to perform software development tasks associated with developing, debugging or designing software applications or operating systems according to provided design specifications. Build enhancements within...

Job Description About the Team *: * We are building a state-of-the-art AI training platform in close collaboration with model teams to deliver Autonomous car milestones, maximizing model flop utilization and iteration speed, and enhancing inference systems. We are augmenting training, data processing, evaluation and the deployment loop with a data flywheel to validate performance and continuously improve Autonomous driving and Active Safety. We accelerate compute performance through architectural changes and low-level optimizations, informed by advanced Carbench/HIL platforms, AI tooling and workflows and instrumentation built in-house. We streamline compiler/build and modelbench performance; enhance data processing, preprocessing, and batch inference; and improve monitoring and availability to increase velocity and quality. Work Arrang ement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three...

Job Description To help facilitate administration of the relocation sti ped if you are selected, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. Location s * * : Sunnyvale, California Mountain View, California Warren, Michigan Milford, Michigan About th e * * R o * * le: As an Autonomous Driving Software Engineer Intern, you will contribute to the design, development, and validation of cutting-edge software powering self-driving systems. You'll collaborate with experienced engineers across AV Platform teams to build scalable, safety-critical software for autonomous vehicles operating in real-world environments. What You 'll Do: Develop, test,anddeployproduction-ready codeacross components of vehicle platform software....

Job Description Description GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) To help facilitate administration of the relocation stiped if you are selected, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. Location s * * : Sunnyvale, California Mountain View, California Warren, Michigan Milford, Michigan About the R * * ole: As an Autonomous Driving Software Engineer...

Description Hands-on embedded software engineer with experience developing, testing, and deploying real-time flight software for aerospace or defense systems. This person must be a strong individual contributor capable of taking ownership of major software components and leading small efforts. Seeking a full-time Sr-, Staff-, or Principal-level Software Engineer to lead the development and testing of flight software for an autonomous hypersonic test vehicle. While reporting to the Vehicle Management System (VMS) lead, you will lead multiple phases of the software development lifecycle and collaborate with other personnel throughout system development, ground test, and flight test. You will integrate and oversee the integration of vehicle management system application code in addition to the development of subsystem management code. Develop and test new flight software in support of hypersonic air-launch vehicle systems Contribute and oversee the integration of complex aerospace...

Job Description GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. This internship may be considered remote for an individual in the Seattle area. Locations: Mountain View, California Sunnyvale, California Austin, Texas Detroit, Michigan Warren, Michigan Milford, Michigan About the Team The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and...

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy a robotaxi service. We are looking for a Senior Machine Learning Engineer to join our team to help improve our automated testing and validation processes. This role is centered on applying cutting-edge machine learning to develop and enhance our validation processes. You will be instrumental in improving the efficiency and scalability of our testing by sampling across massive datasets where traditional methods no longer suffice. By working with both real-world fleet logs and synthetic data, your work will directly impact how we validate software changes and ensure our robotaxi service is both safe and reliable. Your work will also significantly contribute to the speed and efficiency of our validation process, allowing Zoox to go fast and achieve more. You will be part of an organization with strong leadership and a transparent, respectful culture that enables...

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Learned Trajectory Machine Learning Engineer you will be responsible for developing deep learned models that produce trajectories for our vehicles to drive. Given the tight integration of behavior prediction and motion planning, you will closely collaborate with the Planner and Perception teams in the advancement of our overall vehicle behavior. In this role, you will: You will develop...

Zoox is developing state-of-the-art autonomous vehicle software for our purpose-built vehicle. We believe that developing the end-to-end product will get us to market faster and result in a superior customer experience. The Developer Experience team at Zoox is dedicated to improving the process of developing autonomy software, services, and applications. We define and enforce the best practices for engineering across the company. Our approach involves using established programming languages, and tools and, when necessary, developing our own. We're leveraging Large Language Models (LLMs) to improve development velocity and streamline engineering workflows. We're looking for an engineer with firsthand experience as a full-stack developer, who knows the engineering challenges at scale and feels comfortable designing and implementing solutions to address them. In this role, you will: Architect and implement LLM-powered solutions using both commercial providers like AWS...

Zoox is developing state-of-the-art autonomous vehicle software for our purpose-built vehicle. We believe that developing the end-to-end product will get us to market faster and result in a superior customer experience. The Developer Experience team at Zoox is dedicated to improving the process of developing autonomy software, services, and applications. We define and enforce the best practices for engineering across the company. Our approach involves using established programming languages, and tools and, when necessary, developing our own. We're leveraging Large Language Models (LLMs) to improve development velocity and streamline engineering workflows. We're looking for an engineer with firsthand experience as a full-stack developer, who knows the engineering challenges at scale and feels comfortable designing and implementing solutions to address them. In this role, you will: Architect and implement LLM-powered solutions using both commercial providers like AWS...

Zoox is developing state of the art autonomous vehicle software for our purpose built vehicle. We believe that developing the end to end product will not only get us to market faster but will also result in a superior customer experience. We are looking for a software engineer to help build our full-stack web-based platform for visualizing autonomous robot data. These internal services are central to the development of autonomous driving and transportation-as-as-service, providing Zoox the capability to visualize robot data, gain insight into the robot’s behavior, and iterate on our self-driving software stack. You will work closely with autonomous driving software engineers to design feature-rich applications and identify new opportunities for internal tools at Zoox. In this role, you will: Develop intuitive user interfaces with Vue.js, HTML & CSS. Develop 3D visualizations to fuse complex, dynamic data streams into accessible representations to a wide array of...

The Perception team at Zoox creates the "eyes and ears" of our self-driving robots. Navigating safely and efficiently in complex environments requires detecting, classifying, tracking, and understanding various attributes of surrounding objects—all in real-time and with exceptional accuracy. As an engineer in the Scene Understanding team, you will develop advanced ML models that perceive our vehicle's surroundings to identify hazards and driving restrictions. You will utilize vision-language models for detecting rare events and ensuring safe driving in these situations. You'll work with state-of-the-art machine learning models that operate in real-time on our robotaxi platform with minimal latency. Collaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions. In this role, you will: Design and implement...

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Intuit. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. Overview Come join Intuit as a Senior Staff Software Engineer and help us power prosperity around the world. We are looking for engineers that love to take on new challenges, solve tough problems, and have deep empathy for our customers. You’ll work with a small group of passionate engineers, product managers and designers. Competitive relocation package included for qualified candidates. Responsibilities Drives velocity in the organization by accelerating customer,...

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Prediction Machine Learning Engineer you will be responsible for developing machine learned models to predict the behavior of other agents in the world. In this role, you will: You will develop new algorithms to model the future behavior of all other agents in the world You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of...