Software Development Engineer

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Description

APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Design and develop software for Autonomous Systems, specifically Software that establishes a scene understanding (Perception Task) from sensor data, such as Camera images or LIDAR, using Machine Learning as well as traditional geometric algorithms. The role focuses on the efficient implementation, as well as maintenance and debugging, of this complex software stack. Major challenges include the deployment of large-scale, state-of-the-art machine learning models on embedded devices, requiring deep knowledge of special hardware for machine learning as well as low-level optimizations for runtime efficiency. The software developed in this role is part of a safety critical system and therefore requires the highest levels of excellence on software architecture, algorithm design and implementation as well as rigorous testing, evaluations and benchmarking to ensure correctness and runtime behavior. It will be integrated into a highly complex, real-time robotics system which requires end-to-end testing and validation. In addition to the actual algorithmic development, the role also includes implementing tooling such as visualizations and evaluation to proof algorithmic correctness, as well as data introspection and data analysis to identify issues and allow further optimizations based on real-word testing. Finally, this role require particularly strong collaborations with teams across Apple to advance the state-of-the art in machine learning, and deliver the a world-changing Apple autonomous systems product. 40 hours/week. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $177,916 - $264,200/yr and your base pay will depend on your skills, qualifications, experience, and location. PAY & BENEFITS: Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits: https://www.apple.com/careers/us/benefits.html. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

• Master's degree or foreign equivalent in Computer Science, Robotics, Mathematics, Physics or related field and 2 years of experience in the job offered or related occupation.
• 2 years of experience with each of the following skills is required:
• Utilizing C++, including writing in C++17 using Lambdas, move semantics, auto, and constexpr
• Performing software detection tasks involving multiple sensor modalities (i.e. Image + Lidar), late fusion approaches, image encoding and decoding algorithms
• Utilizing machine learning perception model architectures, including PointPillars
• Developing, verifying and testing integrated autonomous software stacks
• Utilizing Git (version control tools), unit testing and Test or GBench benchmarking frameworks
• Performing code review and continuous integration testing
• Developing software development project plans, including estimating timeline, decompose into individual tasks and tracking project progress.
• Deploy optimized robotic software in constrained compute environment with concurrency, cache-friendly design and hardware acceleration, e.g. GPU
• Test and evaluate autonomous software with real-world data and in closed-loop simulation

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