7 Feature Development jobs in the United States

We are seeking a Staff Software Engineer – ADAS Feature and Diagnostics to join our team. This role is based in Newark, CA and requires employees to be onsite five days a week. Role Responsibilities: Requirements Analysis and Decomposition: Analyze and decompose system-level requirements into clear, actionable software tasks. Collaborate closely with system engineers to ensure alignment on ADAS feature requirements and system design integrity. Software Design and Architecture: Design robust, scalable software architectures for ADAS feature integration that meet functional, safety, and performance standards. State Machine Implementation: Design and implement detailed state machine models for various ADAS features (active safety, driving, and parking). Validate correct logic through unit testing, SIL/HIL testing, and in-vehicle evaluation. Cross-functional Collaboration: Partner with cross-functional teams including systems, validation, and controls to ensure seamless integration of ADAS features across the vehicle platform. Continuous Improvement: Identify opportunities to optimize development workflows and improve software robustness, efficiency, and maintainability. Documentation and Reporting: Maintain thorough documentation of software design, requirements traceability, unit test cases, and validation outcomes. Required Qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or a related field 8+ years of experience in software development and feature integration Full-cycle development experience with ADAS or autonomous driving systems—from requirements to production deployment Strong skills in C/C++ and modeling environments such as MATLAB/Simulink Deep knowledge in one or more areas of ADAS systems such as behavior planning, motion planning, or vehicle control Experience with safety-critical systems and standards (e.g., ISO 26262, AUTOSAR) Strong debugging and problem-solving skills; comfortable working across embedded systems and real-time applications Excellent communication skills and the ability to work effectively in a fast-moving, collaborative environment Preferred Qualifications: Master’s degree with 6+ years experience, or Ph.D. with 3+ years experience Hands-on experience with embedded platforms such as NVIDIA Xavier/Orin and Aurix; strong debugging and diagnostic skills across multicore architectures Familiarity with CI/CD pipelines, build systems, and automated test frameworks Strong understanding of communication protocols (CAN, Ethernet) and tools like Vector CANape/CANoe Experience with middleware (e.g., DDS) and real-time distributed system integration Practical experience testing ADAS/AD features in both simulation and real-vehicle environments #J-18808-Ljbffr

• Drive the architecture and development for key modules on our next-generation Deep Learning based AIOps security platform as part of Cloud management
• Develop architectures that are inherently secure, robust, scalable, modular, API-centric
• Own the organizational objective of end-to-end services health and customer experience
• Cultivate a safe work culture that inspires individual decision-making and innovation

• Demonstrated ownership of solutions for scalable Observability, CI/CD, Cloud Infrastructure, and Automated security solutions covering several dozen micro services running on thousands of instances and containers
• 4+ experience in design, algorithms and data structures - Expertise with one or more of the following is a must - Java, Python, C++, Cloud services, Data platforms
• Able to weigh several, often conflicting constraints, and make quick decisions in a dynamic and quickly-growing company.
• Possess technical experience in Observability/Visibility Engineering, Security, Cloud Infrastructure, Domain Controllers in order to recognize the important decisions your team faces and provide meaningful feedback
• Previous experience building and running high-scale geographically distributed always-on systems.
• A good mix of Unix toolchain and development experience in a combination of native, managed and scripting programming languages.
• Experience with large-scale cluster management systems like Kubernetes and Mesos is desirable.
• Possess exceptional written and verbal communication skills
• Bachelor's degree in Computer Science, Engineering or related field, or equivalent military experience required
• 4+ years of industry experience

Job Description Your Career You will have the opportunity to build a career solving network security challenges leveraging advanced machine learning techniques on exabytes of data. You will help create and deliver the most advanced AI and Machine Learning enabled solutions to discover threats, provide intelligence and protect devices. We expect office-based employees to be in the office four days per week, with one day working from where they choose. We believe being together facilitates casual conversations and those magic moments where we can work on issues and ideas informally. These moments build capability and deepen trusted relationships and allow our people to feel safe in taking risks and being disruptive. Like so many companies, we are working through the details and things could change …. but in general if a role is deemed office-based we want our teams to be together four days per week. Your Impact Drive the architecture and development for key modules on our next-generation Deep Learning based AIOps security platform as part of Cloud management Develop architectures that are inherently secure, robust, scalable, modular, API-centric Own the organizational objective of end-to-end services health and customer experience Cultivate a safe work culture that inspires individual decision-making and innovation Qualifications: Qualifications Your Experience Demonstrated ownership of solutions for scalable Observability, CI/CD, Cloud Infrastructure, and Automated security solutions covering several dozen micro services running on thousands of instances and containers 4+ experience in design, algorithms and data structures - Expertise with one or more of the following is a must - Java, Python, C++, Cloud services, Data platforms Able to weigh several, often conflicting constraints, and make quick decisions in a dynamic and quickly-growing company. Possess technical experience in Observability/Visibility Engineering, Security, Cloud Infrastructure, Domain Controllers in order to recognize the important decisions your team faces and provide meaningful feedback Previous experience building and running high-scale geographically distributed always-on systems. A good mix of Unix toolchain and development experience in a combination of native, managed and scripting programming languages. Experience with large-scale cluster management systems like Kubernetes and Mesos is desirable. Possess exceptional written and verbal communication skills Bachelor's degree in Computer Science, Engineering or related field, or equivalent military experience required 4+ years of industry experience Additional Information The Team Drawing on the near real-time data collected through PAN-OS device telemetry, our industry-leading next generation insights product (AIOps for NGFW) gives large cybersecurity operators a force multiplier that provides visibility into the health of their next-generation-firewall (NGFW) devices. It enables early detection of issues at various levels of the stack via advanced time-series forecasting and anomaly detection using novel deep learning techniques. Our goal is to be able to prevent service-impacting issues in critical security infrastructure that operates 24/7/365 with zero false positives and zero false negatives.You will be working on the best large language model in the cyber security industry. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $104000 - $169500 The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here . Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship?: Yes #J-18808-Ljbffr

Software Development Engineer - ADAS Parking Feature Newark, CA Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience. Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. The posted salary range reflects compensation for our Newark, CA office. This role requires employees to be onsite five days a week. Role: Transform complex real-world corner case problems into scalable, parallelized solutions Implement and maintain real-time trajectory planning in dynamic environments Construct and prototype advanced machine learning algorithms for data-driven parking behavior Design, implement, test, and release different levels of safety features for Lucid production programs Evaluate and improve the performance of parking motion planner software stack using simulation and in-vehicle testing Optimize parking planner software stack by profiling and identifying bottlenecks Work closely with other teams to ensure a seamless and robust implementation and deployment of motion planning products for autonomous parking systems Support the production verification and validation of the motion planning algorithms using prototype vehicles and pre-production vehicles Required Qualifications: Bachelor's degree in Computer Science, Robotics, ML, or equivalent experience Experience implementing production level trajectory planning software modules Proficiency in C++ and hands-on software engineering design skills Comfortable with fundamentals of physics, kinematics, and dynamics Excellent communication skills and willingness to learn Preferred Qualifications: Masters or higher degree preferably in Computer Science, Robotics, or related field Experience in AV motion planning and vehicle controls Hands-on experience testing complex AV systems on real-world platforms Familiarity with Python, PyTorch, TensorRT, ROS2, QNX, git, CI/CD Salary Range The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Additional Compensation and Benefits Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) To all recruitment agencies Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes. Apply for this job * indicates a required field First Name * Last Name * Email * Phone * Location (City) * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select. Degree Select. Select. Start date year End date month Select. End date year LinkedIn Profile Are you currently authorized to work in the United States of America? * Select. Do you now or in the future require visa sponsorship? * Select. Have you previously worked for Lucid, or any of its entities, as a contractor? * Select. #J-18808-Ljbffr

We are seeking a Software Development Engineer – ADAS Parking Feature Engineer to join our team. This role requires employees to be onsite five days a week, in Newark, CA. Role: Transform complex real-world corner case problems into scalable, parallelized solutions Implement and maintain real-time trajectory planning in dynamic environments Construct and prototype advanced machine learning algorithms for data-driven parking behavior Design, implement, test, and release different levels of safety features for Lucid production programs Evaluate and improve the performance of the parking motion planner software stack using simulation and in-vehicle testing Optimize parking planner software stack by profiling and identifying bottlenecks Work closely with other teams to ensure a seamless and robust implementation and deployment of motion planning products for autonomous parking systems Support the production verification and validation of the motion planning algorithms using prototype and pre-production vehicles Required Qualifications: Bachelor's degree in Computer Science, Robotics, Machine Learning or equivalent experience. Experience implementing production-level trajectory planning software modules Proficiency in C++ and strong software engineering design skills Comfortable with fundamentals of physics, kinematics, and dynamics Excellent communication skills and a strong willingness to learn Preferred Qualifications: Master’s degree or higher in Computer Science, Robotics, or a related field Experience in autonomous vehicle motion planning and vehicle controls Experience developing real-time systems Hands-on experience testing complex AV systems on real-world platforms Familiarity with Python, PyTorch, TensorRT, ROS2, QNX, Git, CI/CD #J-18808-Ljbffr