Software Engineer, Skill Level 3

Position: Data Engineer III    Location: Redmond, WA 98052    Duration: 12 Months       Job Type: Contract         Work Type:  Onsite      Job Description:     Responsibilities  Build statistical models to identify patterns and trends in production testing data (telemetry, time-series) to generate correlation and predictions.  Develop an understanding of the manufacturing execution system with its multiple sources of data and relationship. Analyze the production system data and derive insights into current bottlenecks and areas of improvement, along with specific actionable recommendations  Collect, format and report periodic snapshots of the production and test data for consumption by other program managers and engineers.  Synthesize analysis and communicate insights and recommendations to various audiences  Work closely with technical program managers and engineers to provide data insights that help explain anecdotes from the manufacturing floor, and provide actionable resolution steps  Create templates and scripts to help scale and automate our ability to ingest, analyze and enable quick data reviews.  Required Skills & Experience  7+ years of related experience (data science, data engineering, data analysis, ML engineering)  4+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, Minitab, etc.) experience  2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience  Very Strong development experience with notable BI reporting tools (Oracle BI Enterprise Edition (OBIEE)).  Should have experience developing complex and a variety of reports.  A good candidate has strong analytical skills and enjoys working with large complex data sets.  Experience applying theoretical models in an applied environment  A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies. Preferred  Experience in Python, Perl, or another scripting language  Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science  Experience in aerospace, manufacturing, test processes and/or test systems development  Typical Day in the Role:    Daily Schedule:   Accelerate test data collection and reviews to help reduce testing requirements across the OISL LRUs  Simplify and automate (with scripts and standard schemas) the continuous collection and formatting of such data  Develop dashboards and visualizations to help the test triage process  Develop a continuous monitoring and alarming framework that can help inform Engineers of areas needing a deeper analysis  Partner with the continuous improvement and OISL teams to accelerate the creation of analysis and tooling to establish manufacturing statistical process controls of key LRUs and test processes  Candidate Requirements:    REQUIRED SKILLS  Years of Experience: 5 years  Leadership Principle:   Customer Obsession, Learn and Be Curious, Dive Deep, Clear communication  Top 3 must-have hard skills  5+ years of related experience (data science, data engineering, data analysis, ML engineering)  scripting languages (e.g. Python  Statistical modeling data analysis tools   

Role: .Net Developer Location: Redmond, WA(Onsite) Position Type: Contract Job Description:- Must Have Skills: • 3+ years of hands-on development experience with Kubernetes/Azure Kubernetes Service (AKS) Experience with Azure DevOps or GitHub Actions for CI/CD pipelines • 6+ years of experience in software development using C# and .NET Core /.NET Framework • Working on DevSecOps practices and secure coding standards for AKS deployments • Cloud above ARM deployment experience and CIS/RPv2 Deployments • ARM Templates: Expertise in authoring and modifying Azure Resource Manager (ARM) templates Good to Have Skills: •  Experience with other Azure services such as Azure SQL, Azure Data Factory, and Blob Storage •  Knowledge of RESTful APIs and microservices architecture •  Python, PowerShell, YAML/JSON •   Certifications such as Microsoft Certified: Azure Developer Associate or Kubernetes Administrator Responsibilities: •  Design, develop, and maintain C# applications for cloud-native environments. •  Automate deployment workflows for AKS and Above ARM services •  Integrate CIS buildout automation into existing pipelines and workflows •  Collaborate with cloud engineers, DevOps, and security teams to ensure secure and scalable deployments •  Troubleshoot and resolve deployment issues across environments •  Maintain documentation and contribute to continuous improvement of buildout processes

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

Small business owner seeks college student to work as an intern to repair autoclaves. Will train a detail-oriented intern who's in school but wants more hands-on experience repairing and servicing electronic equipment. Must know some form of ELECTRONICS, not electrician, or carpentry, or plumbing or mechanic. Hours will vary as help is needed.

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

Experienced alarm technician needed for service calls And installations in the Chicago area. Familiarity with both fire and burglary systems desirable. This is a part-time position