iOS Developer - W2 Contract

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

I need someone to come to my office to optimize and set up google adwords. My office is in White Plains, NY

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

2+ years’ experience working as a heavy-duty Diesel Mechanic. Hydraulics experience is required. Engine and transmission maintenance and repairs. Hourly Pay ranges from $28.38-$50 per hour Valid Driver's License Required Must have 2+ years experience working as a heavy-duty Diesel Mechanic This is a long-term opportunity with room to grow for the right people. If you’re motivated, dependable, and ready to work hard, we want to hear from you!

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!

Location: Richland, WA Salary Range: $21.86 – $29.62 Hourly Position Type: Full-Time, Hourly About Us Senior Life Resources is a nonprofit organization dedicated to enhancing the quality of life for individuals with dignity and compassionate care in their homes. Through programs like Home Care Services and Mid-Columbia Meals on Wheels, we provide essential support to seniors, ensuring they maintain independence and well-being. The Donor Relations and Events Coordinator plays a critical role in building and nurturing relationships with donors and the community through meaningful engagement, thoughtful communication, and well-executed events. This position supports the planning and promotion of signature events such as OktoberFeast, the Gala, and additional fundraising efforts, while maintaining donor appreciation efforts, assisting with marketing materials, and managing select social media communications. The ideal candidate brings creativity, organization, and a passion for serving the community. Key Responsibilities Donor Relations & Stewardship Prepare and distribute weekly donor thank-you letters and recognition materials. Support donor database updates and assist with donor appreciation efforts. Assist in developing communications that highlight donor impact and encourage continued giving. Event Planning & Coordination Coordinate all major fundraising events and campaigns from concept to execution. Collaborate on event themes, budgets, timelines, and marketing strategies. Manage event logistics, including venue booking, vendor coordination, and supply procurement. Facilitate post-event evaluations and implement improvements for future planning. Volunteer Coordination Partner with the Volunteer and Advancement Managers to recruit, train, and coordinate event volunteers. Maintain clear communication and scheduling for all volunteer roles and responsibilities. Marketing & Social Media Collaboration Support the Marketing Coordinator in creating promotional materials such as flyers, invitations, and signage. Contribute content to social media platforms, highlighting events, community stories, and organizational impact. Ensure all public-facing content maintains visual consistency and aligns with SLR’s mission and values. Committee & Administrative Support Take detailed notes and prepare agendas for event planning committees and donor-related meetings. Provide administrative support for donor stewardship, fundraising campaigns, and events. Perform additional related duties as assigned. Skills & Qualifications Proven experience in event planning, donor relations, or nonprofit development. Strong written and verbal communication skills with a focus on relationship-building. Excellent organizational skills and attention to detail. Ability to work independently and collaboratively in a team environment. Proficiency in basic design and content tools (e.g., Canva, MS Publisher). Familiarity with social media platforms and scheduling tools. Comfortable with database entry and donor tracking systems (CRM experience a plus). Passion for community engagement, philanthropy, and mission-driven work. Education & Experience Associate’s or Bachelor’s degree in Communications, Public Relations, Nonprofit Management, Marketing, or a related field preferred; equivalent combination of education and relevant experience may be considered. Minimum of 2 years of experience in event planning, donor relations, fundraising, or nonprofit development. Experience working with CRM databases and event coordination platforms preferred. Previous experience in a nonprofit or mission-driven environment strongly desired. Working Conditions Regular physical activity including sitting, driving, standing, and walking. Occasional bending, reaching above the shoulder, kneeling, squatting, stair climbing, and lifting up to 40 pounds. Willingness to use personal, insured vehicle as needed. Regular attendance, punctuality, and flexibility in scheduling, especially during events. Contingency of Employment Acceptable background check and driving record. Valid Washington State driver’s license and proof of insurance. Access to a personal vehicle for business use. Benefits Medical, Dental, Vision Insurance HRA with Generous Company Reimbursement 12 Paid Vacation Days, Paid Sick Leave, and 10 Paid Holidays 401(k) with Company Match Employee Assistance Program (EAP) Public Loan Forgiveness Eligible Employer Same Day Pay through Tap Check Services 8 Paid “Floating Time Off” Hours Application Process Visit www.seniorliferesources.org/careers to apply. An SLR application is required. Resumes will not be accepted in lieu of an official application but may be attached as supplemental information. Open until filled. First consideration will be given to applications received by Tuesday, September 30, 2025, at 4:00 pm. Equal Opportunity Statement Senior Life Resources is an equal opportunity employer and does not discriminate in any area of employment, its programs, or services on the basis of age, sex, sexual orientation, gender, gender identity/expression, marital status, race, creed, color, national origin, religion or beliefs, political affiliation, military status, honorably discharged veteran, Vietnam Era, recently separated or other protected veteran status, the presence of any sensory, mental, physical disability or the use of a trained dog guide or service animal by a person with a disability, equal pay or genetic information. Persons requiring accommodation in the application process or this job announcement in an alternative format may contact our Human Resources Department at (509) 735-2067. 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