Mobile App Development Engineer, Android

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

Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. To keep pace with our expanding global trading operations, we are seeking a C++ Market Data Engineer to design and build ultra-low-latency feed handlers for premier vendor feeds and major exchange multicast feeds. This is a high-impact role that sits at the heart of Trexquant's trading platform; the quality, speed, and reliability of your code directly influence every strategy we run. Responsibilities Design & implement high-performance feed handlers in modern C++ for equities, futures, and options across global venues (e.g., NYSE, CME, Refinitiv RTS, Bloomberg B-PIPE). Optimize for micro- and nanosecond latency using lock-free data structures, cache-friendly memory layouts, and kernel-bypass networking where appropriate. Build reusable libraries for message decoding, normalization, and publication to internal buses shared by research, simulation, and live trading systems. Collaborate with cross-functional teams to tune TCP/UDP multicast stacks, kernel parameters, and NIC settings for deterministic performance. Provide robust failover, gap-recovery, and replay mechanisms to guarantee data integrity under packet loss or venue outages. Instrument code paths with precision timestamping and performance metrics; drive continuous latency regression testing and capacity planning. Partner closely with quantitative researchers to understand downstream data requirements and to fine-tune delivery formats for both simulation and live trading. Produce clear architecture documents, operational run-books, and post-mortems; participate in a 24×7 follow-the-sun support rotation for mission-critical market-data services. Requirements BS/MS/PhD in Computer Science, Electrical Engineering, or related field. 3+ years of professional C++ (14,17,20) development experience focused on low-latency, high-throughput systems. Proven track record building or maintaining real-time market-data feeds (e.g., Refinitiv RTS/TREP, Bloomberg B-PIPE, OPRA, CME MDP, ITCH). Strong grasp of concurrency, lock-free algorithms, memory-model semantics, and compiler optimizations. Familiarity with serialization formats (FAST, SBE, Protocol Buffers) and time-series databases or in-memory caches. Comfort with scripting in Python for prototyping, testing, and ops automation. Excellent problem-solving skills, ownership mindset, and ability to thrive in a fast-paced trading environment. Familiarity with containerization (Docker/K8s) and public-cloud networking (AWS, GCP). Benefits Competitive salary, plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets. PPO Health, dental and vision insurance premiums fully covered for you and your dependents. Pre-Tax Commuter Benefits  Trexquant is an Equal Opportunity Employer

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!

Description: "***ONSITE Role at US - NJ**** 1800 Bishops Gate, Mount Laurel, NJ 08054 Primary Skills -------------------- Language: Databricks/Spark, Scala,Python Database: NoSQL (MongoDB, Cassandra. Etc) Cloud Platforms: AWS, Secondary Skills --------------------- Java, NoSQL Databases Strong Telecom domain expertise for all lead & sr. roles is a must. Knowledge of order, post-order processing, and their handoffs between BSS and OSS systems." AWS Developer Azure Databricks,Microsoft Azure Databricks,Python,Scala,Spark,data analysis,data processing,data science,data science solutions,information technology,multi-paradigm programming,programming,software development,technology,web application,web application frameworks,web applications development

Northstrat is seeking a highly motivated Software Data Engineer who will play a critical role in ensuring the successful acquisition and management of mission-critical and mission support data sets. You will work closely with our team of experts to design and implement data solutions that meet the unique needs of our clients in the military space. Whether you have experience as a developer, analyst, or engineer, we want to hear from you. Your expertise in this area will be invaluable as we work to provide our clients with the highest quality data solutions possible. The successful candidate will have an understanding of data structures, algorithms, and software design principles, as well as experience working with large and complex data sets. They will work closely with our engineers to build and optimize our data pipeline and analytics systems. As a hybrid role, this position will require some on-site work, but you will also have some flexibility to work remotely. You will be part of a dynamic team of professionals who are passionate about their work and committed to delivering exceptional results. If you are a self-starter who thrives in a fast-paced environment and is eager to take on new challenges, we encourage you to apply for this exciting opportunity. Essential Job Responsibilities · Must have a strong working knowledge and experience developing Java based software capabilities. · Should have an inquisitive nature, responsiveness, and excellent testing skills. · Must also possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines. · Keep up to date with emerging trends and technologies in software development. · Will work in a fast-paced, small business environment with our talented team. · Additional duties as assigned. Requirements Security Clearance - Must have a current U.S. Government TS/SCI level security clearance; U.S. Citizenship required. At least 5 years of experience in Software Engineering, Modern Java Frameworks and Libraries (e.g. Spring, Guava) and a Bachelors in related field; 3 years relevant experience with Masters in related field; or High School Diploma or equivalent and 9 years relevant experience. Experience in designing enterprise APIs Experience in RESTful web services Experience in Microservices architecture Experience in Object Oriented Programming (OOP) paradigms Experience with the agile software lifecycle Has a proven ability to learn quickly and works well both independently as well as in a team setting Experience with the Linux operating system Experience with configuration management tools (e.g. Git, Nexus, Maven) Must have a DoD 8140 / 8570 compliance certifications (i.e. Security+). Must be able to travel up to 10% of the time or more based on customer needs. Must be able to work in a hybrid environment, spending an average of 2-3 days per week at our Colorado Springs, CO office. Flexibility is essential to accommodate any changes in the schedule. Preferred Requirements Experience in cloud-based technologies (AWS, Azure). Experience in distributed databases, NoSQL databases, full text-search engines (e.g. Elasticsearch, MongoDB, Solr) Scripting experience is a huge plus. Prior experience or familiarity with our Big Data Platform is a plus. Understanding of AGILE software development methodologies and use of standard software development tool suites. (e.g., JIRA, Confluence, GitHub Enterprise, etc.) Benefits Work/Life Balance Northstrat values true work life balance. We offer power of choice benefits designed to best meet the needs of you and your lifestyle. Our benefits programs are designed to support and encourage wellness, healthy living, retirement investment, and lifetime learning. Flex Time Northstrat does not mandate specific working hours. Although project requirements may dictate schedules, a Northstrat employee is only required to work an average of 8 hours per weekday over the course of a month. For example: John worked 12 hours on June 1st to meet a project deadline. On June 15th, John only worked 4 hours because he left early for a long weekend. John’s IBA was not debited for time off because flex time allowed him to carry over those 4 hours from June 1st. Individual Benefits Account (IBA) To attract and retain the highest quality staff, Northstrat provides a unique and versatile benefits package, the Individual Benefit Account (IBA), which places the power of choice in the hands of our greatest asset – the employee. The purpose of the IBA is to provide attractive benefits to all full-time employees of Northstrat on a flexible basis that enables each covered employee to select a package that best suits his or her needs. Whether those needs are paid time off, medical expenses, prescription drug expenses, cash disbursement, or a combination of any of these, the IBA provides flexibility to help you meet your specific goals. The IBA can be used for such things as: Medical and Vision Insurance through United Health Care; Dental insurance through Delta Dental 100% Medical Reimbursement Time Off with Pay Profit Sharing Plan 401k Educational Benefits Additional Income IBA Benefits accrue each month in the amount equivalent to 50% of the employee’s monthly compensation rate. That is, the effective dollar amount of this accrual is in addition to an employee’s salary. Profit Sharing Plan (PSP) The PSP is a qualified retirement plan that Northstrat funds semi-annually on the employee’s behalf through the IBA in the amount equivalent to 25% (up to the IRS contribution limit) of the employee’s compensation. That is, of the 50% accrual in the IBA, half of the amount accrued is applied to the PSP. Stock Options Because Northstrat is an employee-owned company, all new employees are offered stock options. Employees have the opportunity to receive additional stock options based on accomplishment of individual performance goals. Stock owners elect the Board of Directors and are directly impacted by the success of the company. Lifelong Learning Our culture promotes and nurtures a growth environment. We hire and scale rapidly to meet the needs of our partner customers. Through the use of company provided online learning opportunities, periodic company sponsored training events, and the ability to use IBA funds for reimbursement of work-related education expenses you will have the opportunity to continually grow your skills and abilities. Bring Your True Self We embrace diversity and encourage inclusion. We support employee led interest groups and challenge our employees to support others and be their best self. We are so true to our beliefs that we offer employee referral incentives. When you like it here, your friends and family will too! Northstrat is an Equal Opportunity Employer We are committed to fostering an inclusive, diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other legally protected status.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. Requirements You have a Bachelor's or Master’s degree in Software Development, Computer Science, or other related fields.  You have at least 3 years of professional experience with Rust. Code review experience is a must. Experience with AI projects is a plus. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Benefits Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $50/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.