Software Engineer, Skill Level 0

Job Title Principal Software Engineer - Program Analysis for AI Overview We are looking for an experienced software engineer to help us build a new generation of transpilation tools enabled by AI and modern verification techniques that promises to bridge the gap between algorithm development and deployment to embedded systems. In this role you will play a lead role in architecting and implementing novel code generation pipelines that use a mix of Generative AI, Static Analysis and Formal Verification methods to translate code written in one language to another. Requirements Responsibilities ● Define Software Architecture for Agentic AI pipelines. ● Build well tested extensible code foundations for code translation products. ● Collaborate with domain specialists to incorporate formal verification and static analysis methods into code generation pipeline. ● Collaborate with the software engineering and research teams to build robust code repositories and continuous integration processes. Must Have ● Seven or more years of experience with collaborative enterprise-level software development in C++ to deliver products to a large customer base ● Demonstrated experience gathering requirements from stakeholders and distilling them into software designs ● Demonstrated experience planning and executing on large projects in a team-based setting ● Demonstrated history of building and delivering robust software by employing best practices throughout the SDLC process, including Code review, Testing, Continuous integration, Release management and Build systems Great to Have ● Experience with Compiler development - experience with Clang, LLVM ● Experience with advanced software verification techniques like fuzzing and/or formal verification ● Python experience ● Experience with ML Tools and Frameworks ● Experience working with embedded, heterogeneous (FPGA and/or GPU), and/or distributed systems

Accounting services company seeks part time senior computer programmer - developer to assist, create and manage key computer systems. They were built with MS SQL, VB6, VB.NET, Visual Studio, Office 365, Excel etc. You will be working with another sr. developer. Additionally, you should be comfortable solving complex problems with limited assistance. The hours are flexible, normally Saturday (9 to ?) and various evenings (6 to ?) or other hours you are available. Sizeable VB6 system requires constant maintenance and eventual translation to .net. Many projects representing years of programming and development are available. You must be able to help design and create "on the fly" new projects and improve old ones. New projects will not have 100% specifications at startup. QUALIFICATIONS AND EXPERIENCE: Excellent English both oral and written. Able to work in the US. 5+ years programming experience. Microsoft Visual Studio VB 6 "A MUST" VB.NET MS SQL Server (t-sql, stored procedures, views, triggers) Will consider contractors for part time position. You must live within 15 minutes of Chatsworth. Reliability is very important. Expect a full background examination. Remote will not be considered due to constant designing issues. Casual, friendly work environment.

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

Part Time General Helper & Cabling , Stock Room, Etc With on the job training

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

Many IT workers, especially in help desk and tech support roles, are misclassified as “exempt” and denied overtime. But under California law, if your duties are mostly routine troubleshooting, password resets, and support tickets — you’re likely entitled to overtime pay. If you’ve worked over 8 hours a day, worked on after hours tickets, stayed after hours to for training or to work on projects, been on-call, or responded to issues on your “off time,” you may be owed: 💵 Time-and-a-half pay for overtime (over 8 hrs/day or 40 hrs/week) 💵 Double time for long shifts (over 12 hrs/day) 💵 Pay for off-the-clock work like logging in early or finishing tickets late 💵 Compensation for being “on call” or working nights/weekends 💵 Meal and rest break pay if you had to work through them Even if you’re salaried, if your duties are support-related and follow set procedures, you may not meet the legal test for exemption and must be paid overtime. We are employment attorneys who help IT workers recover unpaid wages. We can help get you paid what you are owed. 📞 Free attorney consultation – no obligation (888) 416-6654 🌟 20+ years fighting for California workers’ rights 💸 No upfront costs – we only get paid if you win or settle ** Call or email us today to find out how much you may be owed. Chris Hamner Attorney at Law HAMNER LAW OFFICES 26565 West Agoura Rd., Suite 200 Calabasas, California 91302 www.hamnerlaw.com 💼 Get Paid Everything You Are Owed. ATTORNEY ADVERTISEMENT