Embedded Software Engineer (System)

Machine Learning Engineer, ML Runtime & Optimization

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in Nov. 2024. Responsibility The ML Infrastructure team at Pony.ai provides a set of tools to support and automate the lifecycle of the AI workflow, including model development, evaluation, optimization, deployment, and monitoring. As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies to accelerate the training and inferences of the AI models in autonomous driving systems. This includes: Identifying key applications for current and future autonomous driving problems and performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation compute architectures. Collaborating closely with diverse groups in Pony.ai including both hardware and software to optimize and craft core parallel algorithms as well as to influence the next-generation compute platform architecture design and software infrastructure. Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries. Work across the entire ML framework/compiler stack (e.g.Torch, CUDA and TensorRT), and system-efficient deep learning models. Requirements BS/MS or Ph.D in computer science, electrical engineering or a related discipline. Strong programming skills in C/C++ or Python. Experience on model optimization, quantization or other efficient deep learning techniques Good understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc. Experience with profiling, benchmarking and validating performance for complex computing architectures. Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks. Strong communication skills and ability to work cross-functionally between software and hardware teams Preferred Qualifications: One or more of the following fields are preferred Experience with parallel programming, ideally CUDA, OpenCL or OpenACC. Experience in computer vision, machine learning and deep learning. Strong knowledge of software design, programming techniques and algorithms. Good knowledge of common deep learning frameworks and libraries. Deep knowledge on system performance, GPU optimization or ML compiler. Compensation and Benefits Base Salary Range: $140,000 - $250,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks

Fremont, CA, USA

$140,000-250,000/year

Workable

Low-Latency Developer

Atto Trading, a dynamic quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is looking for a Low-Latency Developer to join our team. We are expanding an international, diverse team, with experts in trading, statistics, engineering, and technology. Our disciplined approach combined with rapid market feedback allows us to quickly turn ideas into profit. Our environment of learning and collaboration allows us to solve some of the world’s hardest problems, together. As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort. Position Highlights: We are modernizing our trading and research platform to scale our alpha trading business. This platform will enable researchers to explore, test, and deploy sophisticated signals, models, and strategies across asset classes in a robust, fully automated manner while maintaining competitive latency targets. As a Low-Latency Developer, you will be responsible for designing, optimizing, and maintaining high-performance trading systems to minimize latency. Your Mission and Goals: Analyze and optimize the performance of low-latency trading systems by identifying bottlenecks and inefficiencies in the code, and implementing effective solutions. Develop and adapt the platform to support the demands of a fast-paced trading environment, while effectively managing technical debt. Requirements Over 5 years of experience as a low-latency developer with a focus on performance optimization in a high-frequency trading (HFT) environment. Experience with multiple components of an HFT platform or system, particularly those on the critical path. Experience working at an HFT firm during its startup phase and/or on a trading team is a significant plus. Technical Skills: Deep knowledge of HFT platforms: networking, kernel bypass, market data, order entry, threading, inter-process communication, and strategy APIs. Proven low-latency development and performance optimization in HFT. Strong proficiency in C++. Excellent understanding of CPU caches and cache efficiency. Experience with multithreaded and multi-process synchronization. Good understanding of networking protocols. Skilled in performance profiling and optimization tools. Advanced knowledge of Linux operating systems, including kernel-level device mechanisms. About You: Practical decision-making skills. Excellent communication skills. Strong analytical and problem-solving skills. Passion for trading. Ability to work independently and as part of a team. Benefits Competitive rates of pay. Paid time off (5 weeks). Coverage of health insurance costs. Office lunches. Discretionary bonus system. Annual base salary range of $150,000 to $300,000. Pay (base and bonus) may vary depending on job-related skills and experience. Our motivation: We are a company committed to staying at the forefront of technology. Our team is passionate about continual learning and improvement. With no external investors or customers, we are the primary users of the products we create, giving you the opportunity to make a real impact on our company's growth. Ready to advance your career? Join our innovative team and help shape the future of trading on a global scale. Apply now and let's create the future together!

New York, NY, USA

$150,000-300,000/year

Workable

Staff Embedded System Software Engineer

About Us: Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world’s top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people’s lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint. We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology. Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle. Overview: We are looking for a highly skilled Staff Embedded System Software Engineer belonging to the Enterprise Engineering Department to lead the design, development, and optimization of embedded software solutions. This role requires deep expertise in embedded systems, strong problem-solving skills, and the ability to drive technical decisions while mentoring junior engineers. As a key technical leader, you will work on cutting-edge projects involving real-time systems, microcontrollers, and embedded Linux. Key Responsibilities: Architect, develop, and optimize embedded software solutions for high-performance and real-time applications. Lead technical design discussions and guide software development best practices. Develop, debug, and maintain low-level drivers, middleware, and application software for embedded systems. Responsible for features development in the area of L2/Bridging/L3/Routing/video streaming for the network devices. Implement, maintain, troubleshoot, and improve manufacturing processes, including maintain flow charts, develop manufacture software, identify and fix issues, and make improvements and so on. Work closely with hardware team to deliver high quality products. Responsible for identifying and fixing bugs prior to software release. Write clean, maintainable, and well-documented code. Implement software features of high quality and on schedule. Collaborate seamlessly with cross-functional teams, including designers, product managers, and QA engineers, to deliver unparalleled user experiences. Provide technical leadership, mentorship, and guidance to junior team members, fostering a collaborative and high-performing environment. Conduct meticulous code reviews and provide mentorship to junior developers, ensuring strict adherence to coding standards and industry best practices. Requirements Qualifications: Bachelor’s degree in Computer Science, Software Engineering, or a related field. Minimum of 8 years of related experience. Proficiency in embedded software programming skills with C/C++ language. Experience with Linux embedded application development. Deep Knowledge of network technology including NAT, TCP, UDP, IPv4, IPv6, HTTP etc. Knowledge of package processing flow based on Linux TCP/IP stack, including Netfilter and Conntrack. Knowledge of audio/video encoding, motor controls software development. Knowledge of ONVIF, RTCP, RTSP application development. Knowledge of wireless communication protocols, e.g. 802.11a/b/g/n/ac/ax. Experience in analyzing crash logs, stack trace, faults by utilizing basic debugging techniques Experience with version control systems (e.g., Git). Highly motivated, positive, detail oriented and responsible. Preferred Qualifications: Experience with Wi-Fi driver developing of Qualcomm or Broadcom chips. Experience with surveillance system and device development, e.g. NVR, camera etc. Benefits Salary range: $140,000 - $200,000 Fully paid medical, dental, and vision insurance (partial coverage for dependents) Contributions to 401k funds Over four weeks of PTO per year Bi-annual pay increases Health and wellness benefits, including free gym membership Quarterly team-building events Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.

Irvine, CA, USA

$140,000-200,000/year

Embedded Software Engineer (System)

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