Front End Engineer

- Design, build, test, and deploy highly scalable customer facing RESTful APIs that can handle traffic and mobile apps - Collaborate with Product and Engineering leadership to translate business vision into technical design, code and test suite - Partner with other engineers to produce high quality software - Gain a broad understanding of the system/domain and upstream/downstream dependencies - Stay current on technologies and application development best practices Requirements - You have 8+ years of experience as a back-end developer building and deploying RESTful APIs and integrations using Java/Groovy, SpringBoot, Spock, JUnit, Gradle/Maven, SQL/NoSQL databases, MQ, Kafka, GIT - You have a solid understanding of RESTful APIs - You are an expert in building cloud-native applications - You are passionate about developing and maintaining high quality software - You understand how web sites and mobile apps interact with backend APIs - 3+ years working in an agile team - Understanding of CI/CD, Jenkins, JMeter/Gatling, WireMock - Atlassian software development and collaboration tools (BitBucket, Jira etc.)

PLEASE FORWARD RESUME FOR CONSIDERATION Royalty Staffing is currently hiring Autonomous Vehicle Operator in San Francisco for our client who is a growing ride-share company. This is an excellent opportunity to be at the forefront of turning the company's vision into reality. We're looking for operators who are disciplined, team players, and believe in doing whatever it takes to accomplish the mission. Working as a VO will give you the opportunity to learn vehicle and personnel operations. You'll have a front-row seat to the operational complexities of realizing autonomous mobility and the chance to contribute to the future. We are currently hiring for multiple schedules, with bonus pay for weekend and night shifts with a start time of after 3pm (i.e. the weekend day shift offers an added 5% per hour and weekend night shift offers an added 10% per hour). Location – San Francisco, CA Work environment – Onsite/field Pay rate - 29.00 USD Per Hour Assignment duration – Ongoing contract SCHEDULE Hours: Day Shift: 5:45am-2:15pm, 6:45am-3:15pm, or 7:45am-4:15pm Night Shift: 1:45pm-10:15pm, 2:45pm-11:15pm, 3:45pm-12:15am, or 5:45pm-2am Days: Wednesday-Sunday Thursday-Monday Friday-Tuesday Saturday-Wednesday RESPONSIBILITIES Support vehicle operations. Drive 4-8 hours a day with a priority on safety. Conduct basic software operation tasks. Support missions through a wide variety of roles in and out of vehicles. Assist with documentation and metrics. Provide accurate written and oral feedback to engineering teams. Support vehicle maintenance and logistics. Conduct daily basic vehicle preventative maintenance checks, services, and repairs. Provide logistical support for the movement and storage of vehicles and equipment. Ensure the readiness and cleanliness of vehicles, equipment, and the workplace. Assist with paperwork and documentation related to vehicle readiness. REQUIREMENTS Basic vehicle knowledge to perform vehicle checks, ability to drive for long duration (6 hours in the car per day) Basic technology ability Excellent written and verbal communication skills Excellent driving history and no criminal history Proactive mindset and resourcefulness Bachelor's degree or equivalent technical experience is a plus BENEFITS Pre-tax commuter benefits Employer Subsidized healthcare benefits Flexible Spending Account for healthcare-related costs All costs for short- and long-term disability and life insurance 401k package

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

We are lawyers and have a real case going to trial in SF soon. At this legal focus group, we will present to you arguments from both sides and want to hear your honest opinions and advice about the case. That is your job. Just about everyone who participates in one of our focus groups find it fun and interesting. The focus group will be held at a hotel meeting room in the financial district. Lunch will be provided. It starts promptly at 9 AM. Please be on time. At the end of the focus group, you will be paid $300 in cash. To be considered for this focus group please attach either a resume or a few sentences about the kind of work you have done. You MUST MUST include your cell phone number. I will text successful applicants and give them further details on Sunday or Monday.

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

Swansons Cleaners is currently hiring and training full-time and part-time customer service associates. Store hours are Mon-Fri 10:00a - 6:00p and Sat 10:00a - 3:00p (closed Sundays). Shifts vary from 4 - 8 hours long. Weekly schedule example: Mon 10-6 Tue 10-6 Wed 12-6 Thu 10-6 Fri - OFF* Sat - 10-3 *Day off will switch from Fri to Wed depending on the week. Discounts on dry cleaning provided to all employees. Closed on specific Federal holidays. Basic computer skills, reliable transportation and a positive attitude are all you need to apply. Employees will be asked to fill in at our Granite Bay store, depending on scheduling needs. Be sure to CALL (916) 933-0290 to set up an in-person interview with Amanda (area manager)