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  • Machine Learning Engineer

    Insight Global

    Machining engineer job in Sunnyvale, CA

    Required Skills & Experience Bachelor's or Master's degree in Computer Science, Engineering, or a related field Proven experience as a Machine Learning Engineer or similar role Hands on but can lead a 3-4 member team Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Experience with Generative AI (GenAI) and its applications Strong knowledge of React and front-end development Familiarity with Mega Cash and Cashing technologies Proficient in PostgreSQL and database management Excellent problem-solving skills and attention to detail Job Description A large global retailer is seeking a talented and experienced Senior Machine Learning Engineer. The ideal candidate will have a strong background in machine learning, proficiency in Python, and experience with Generative AI (GenAI), React, Mega Cash, Cashing, and PostgreSQL. This role involves developing and deploying machine learning models, collaborating with cross-functional teams, and contributing to the continuous improvement of our financial products. We are looking for someone who is hands on but can lead a 3-4 member team. Key Responsibilities: Design, develop, and deploy machine learning models to solve complex financial problems. Collaborate with data scientists, software engineers, and product managers to integrate machine learning solutions into our products. Implement and optimize algorithms for real-time data processing and analysis. Develop and maintain scalable data pipelines using PostgreSQL. Utilize Python and GenAI to create innovative solutions for financial applications. Work with React to build interactive and user-friendly interfaces. Ensure the security and efficiency of financial transactions using Mega Cash and Cashing technologies. Stay up-to-date with the latest advancements in machine learning and financial technologies.
    $116k-175k yearly est. 5d ago
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  • Machine Learning Engineer PhD (Full Time) - United States

    Cisco Systems 4.8company rating

    Machining engineer job in San Jose, CA

    Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team Join our innovative engineering team focused on building next-generation AI/ML solutions. You'll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their perfect operation. Your Impact Dive into the development and implementation of cutting‑edge generative AI applications using the latest large language models-think GPT‑4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer‑based models, student‑teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine‑tuned, and put through their paces for real‑world deployment. Collaboration is at the heart of this role-work alongside talented engineers and cross‑functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation with new technologies and ongoing learning are always encouraged. Production‑ready code, robust testing, and creative problem‑solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact! Minimum Qualifications Recent graduate or in your final year of toward a PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related field. 3+ years of experience in backend development using Go or Python. Understanding of LLM infrastructure and optimization, validated by technical interview responses, project documentation, or relevant publications. Hands‑on experience with model building and AI/LLM research, demonstrated through portfolio work, code samples, technical assessments, or documented academic or professional projects. Preferred Qualifications Experience working with inference engines (e.g., vLLM, Triton, TorchServe). Knowledge of GPU architecture and optimization. Familiarity with agent frameworks. Exposure to cloud native solutions and platforms. Experience with cybersecurity principles and Python programming, including common AI libraries. Familiarity with distributed systems and asynchronous programming models. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: Individual pay is determined by the candidate's hiring location, market conditions, job‑related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long‑term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non‑exempt employees 1 paid day off for employee's birthday, paid year‑end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non‑exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full‑time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non‑sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance‑based incentive pay on top of their base salary, which is split between quota and non‑quota components, subject to the applicable Cisco plan. For quota‑based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non‑quota‑based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $181,000.00 - $270,300.00 Non‑Metro New York state & Washington state: $165,300.00 - $240,600.00 For quota‑based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non‑exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affir mative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records. #J-18808-Ljbffr
    $181k-270.3k yearly 3d ago
  • AI/Machine Learning Engineer

    Ring Inc. 4.5company rating

    Machining engineer job in San Mateo, CA

    About Treering Treering, a Silicon Valley-based tech company, helps people preserve and celebrate their memories. By combining just-in-time digital printing with the power of AI tools, Treering delivers personalized keepsakes that celebrate important milestones and events. About the Role We are seeking a highly skilled AI Engineer to lead the maintenance and enhancement of our existing AI solutions. This role will be crucial in ensuring the smooth operation and continuous improvement of our AI-driven product generation process. You will be working with a suite of APIs designed to analyze, score, and rank photos, making critical decisions to automatically generate photobooks, yearbooks, and other print-on-demand products. Responsibilities AI Systems Maintenance: Maintain and optimize existing AI solutions, including APIs for photo analysis, scoring, and ranking. Enhancement and Development: Develop and enhance AI models and algorithms to improve the accuracy and efficiency of automated product generation. API Management: Oversee and manage the suite of APIs used in our AI solutions. Cloud Infrastructure: Utilize and manage AWS services such as Rekognition, Lambda, SageMaker, Step Functions, SQS, OpenSearch, S3, and RDS. State Machine Management: Design, implement, and manage state machines for orchestrating AI processes. Programming: Write and maintain Python code for AI models and API development. Monitoring and Troubleshooting: Monitor AI system performance, troubleshoot issues, and implement solutions. Collaboration: Work closely with cross-functional teams to integrate AI solutions into the overall product workflow. What We're Looking For Bachelor's or higher degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 6+ years of experience in AI development and deployment. Strong proficiency in Python programming. Extensive experience with AWS services, including Rekognition, Lambda, SageMaker, Step Functions, State Machines, SQS, OpenSearch, S3, and RDS. Experience with API development and management. Solid understanding of machine learning algorithms and techniques. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Strong leadership and mentoring abilities. Why Join Treering? Impact: Your work directly contributes to modernizing the yearbook industry. Innovation: Work with cutting-edge technologies in an agile environment. Growth: Opportunities for career advancement and professional development. Culture: A collaborative, inclusive, and supportive team environment. Benefits Comprehensive medical, dental, vision, life/AD&D, and disability coverage Pre-tax savings/spending plans, including HSA employer contributions Parental Leave Benefits Pre-tax and Roth 401(k) plan with an employer contribution Flexible vacation for salaried Twelve paid holidays throughout the year $180,000 - $200,000 a year If you are an experienced software engineer who thrives in a dynamic environment and is passionate about designing and implementing innovative web solutions, we invite you to apply. #J-18808-Ljbffr
    $180k-200k yearly 4d ago
  • Robotics Engineer, Manipulation

    Menlo Ventures

    Machining engineer job in San Francisco, CA

    At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are seeking a versatile Robotics Engineer to develop and implement software solutions for our manipulation systems. The ideal candidate will have experience in controls, perception, and planning. You will be working on deploying state-of-the-art learning-based algorithms on real robot setups, focused on daily manipulation tasks. This role will require close collaboration with researchers and the ML team. The ideal candidate should be comfortable with building high-quality software for robotic manipulation and deploying it on robot hardware. Responsibilities Help design algorithms, models, and techniques for various robotic manipulation tasks. Design hardware and software systems for various robotic manipulation tasks. Write controllers and perception stacks for real-world robotic deployment. Write and maintain production-level C++ and Python code for our robotic manipulation platforms. Collaborate with machine learning engineers to deploy state-of-the-art models on our robots. Continuously improve and optimize robotic software for performance, reliability, and scalability. Preferred Qualifications BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. Experience in designing robotic manipulation systems and deploying software on real robots. Experience with writing controllers and knowledge of robotics (e.g., kinematics, dynamics, control, motion planning, SLAM). Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc. Systems-level understanding of the various software modules and their interfaces in a robotic application (ROS/ROS2, simulators, etc.). Publications at top-tier ML, robotics or CV conferences (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR, ECCV, ICCV). Experience with designing custom robot hardware solutions. Proficiency with various robot learning techniques (RL, imitation learning, etc.). Experience working with modern computer vision algorithms, sensors (LiDAR, camera, radar, etc.), 3D (meshes, point clouds, etc.), segmentation, tracking, object detection. Base Salary Range$100,000-$300,000 USD #J-18808-Ljbffr
    $100k-300k yearly 4d ago
  • GenAI Backend Engineer: Third-Party Model Proxies

    Fal

    Machining engineer job in San Francisco, CA

    A leading tech company in San Francisco is looking for an experienced engineer to develop foundational HTTP proxies for third-party model providers. You will be responsible for designing and building high-performance solutions while ensuring robustness and scalability. The ideal candidate has over 3 years of experience in building HTTP services with Python. This role offers a competitive salary up to $200,000, including equity and comprehensive benefits. #J-18808-Ljbffr
    $200k yearly 2d ago
  • Senior Robotic Manipulation Engineer for Food Automation

    Chef Robotics™, Inc.

    Machining engineer job in San Francisco, CA

    A leading robotics startup is seeking a Senior Robotics Software Engineer in San Francisco to develop advanced manipulation systems for food ingredients. Candidates should have 7+ years in robotics software, strong skills in Python and C++, and a passion for robotics and automation. The position involves working on innovative algorithms and systems while contributing to a positive team culture in a fast-paced environment. Salary ranges from $150,000 to $260,000 annually, with equity and comprehensive benefits. #J-18808-Ljbffr
    $150k-260k yearly 4d ago
  • Robotics ML Platform Engineer for Vision-Language Models

    Toyota Research Institute 4.3company rating

    Machining engineer job in Los Altos, CA

    A leading technology research organization in California seeks a machine learning engineer to develop foundational models for robotics. The role involves enhancing hardware infrastructure, building APIs for data handling, and designing evaluation metrics. Ideal candidates have hardware and communication protocol experience, along with strong software skills in Python and a passion for robotics. Competitive pay ranges from $176,000 to $264,000, with a comprehensive benefits package. #J-18808-Ljbffr
    $176k-264k yearly 4d ago
  • Multimodal Inference Engineer - Scale GPU AI Models

    Openai 4.2company rating

    Machining engineer job in San Francisco, CA

    An innovative company is seeking a talented software engineer to join their dynamic Inference team. This role involves designing and implementing infrastructure for large-scale multimodal models, focusing on high-performance delivery of audio and image inputs. You'll collaborate closely with researchers and product teams to push the boundaries of AI technology, ensuring reliable production services. If you thrive in fast-paced environments and enjoy tackling complex challenges, this opportunity offers a chance to make a significant impact in the AI landscape. #J-18808-Ljbffr
    $90k-123k yearly est. 16h ago
  • Autonomy Robotics: Localization Engineer

    Agtonomy

    Machining engineer job in San Francisco, CA

    A leading agricultural technology company in California is seeking a Localization Engineer to develop state estimation algorithms for tractors. The ideal candidate will have strong experience deploying algorithms like Kalman filters and modern C++. You will work with interdisciplinary teams and test your code in real-world environments. This full-time position offers a competitive salary of $160,000 to $220,000, comprehensive benefits, and a collaborative work environment. #J-18808-Ljbffr
    $160k-220k yearly 3d ago
  • Senior Robotics Platform Engineer (ROS2 & Embedded Linux)

    Bonsai Robotics, Inc.

    Machining engineer job in San Jose, CA

    A leading robotics company is seeking a Senior Platform Software Engineer in San Jose, CA, to develop cutting-edge vehicle software for autonomy in agriculture and off-road environments. This position offers a salary range of $140,000 - $200,000 per year. The ideal candidate will have extensive experience in C++, Python, and ROS 2, alongside a strong background in headless Linux systems. This high-impact role involves creating a robust robotic application and optimizing performance for embedded environments. #J-18808-Ljbffr
    $140k-200k yearly 4d ago
  • Robotics Diagnostics Engineer

    Nimble 3.9company rating

    Machining engineer job in San Francisco, CA

    Nimble is an AI robotics company building the autonomous supply chain to enable fast, efficient, and sustainable commerce. We're developing a general-purpose robot AI and a warehouse generalist superhumanoid robot, the first robot in the world capable of performing all core warehouse functions. We recently closed a $106M Series C at a $1B valuation, and we are continuing to grow our world‑class team. Mission: to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. Vision: invent the Autonomous Supply Chain - everything from the inside of factories and warehouses to your front door - powered by industry‑generalist superhumanoids to deliver faster, more efficient, and more sustainable commerce. Proudly led by founders from Stanford and Carnegie Mellon and a board featuring Marc Raibert (founder of Boston Dynamics), Sebastian Thrun (founder of GoogleX, Waymo), and Fei‑Fei Li (Chief Scientist of AI at Google). Join us and leave your mark on the future of robotics, AI, and global commerce. Core Values Be relentlessly resourceful - Challenge conventions and overcome obstacles. Be legendary - Be the very best and do work that inspires. Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission. Be dependable - Take ownership and deliver with high agency. About the Role You will own the development and architecture of our next‑generation robotics diagnostic system, which is crucial for improving the reliability and maintainability of the robotic fleet. This system must proactively detect and surface anomalies across the entire robot stack-from low‑level firmware glitches to complex hardware failures-either automatically during operation or upon manual trigger. You will be the architect of the diagnostic data structure, translating complex sensor readings and error logs into actionable, easy‑to‑read health reports that accelerate root cause analysis for engineering, manufacturing, and support teams. This role requires tight collaboration with our Embedded Software and Infrastructure teams, and the Operations team to build a robust, scalable data pipeline. Key Responsibilities Design, implement, and maintain the on‑robot diagnostic framework, enabling both autonomous background checks and on‑demand manual diagnostic scans. Define the diagnostic data schema, ensuring efficient, standardized, and human‑readable reporting of fault codes, event logs, and status checks. This data structure must be scalable and optimized for use by both on‑robot systems and cloud‑based analytics tools. Work closely with embedded software and hardware teams to develop sophisticated diagnostic routines that surface hardware issues, abnormal sensor behavior (e.g., drift, noise, and communication failures), motor anomalies, and transient firmware glitches. Collaborate with the Infrastructure team to architect and build the data pipeline responsible for reliably collecting, storing (e.g., S3 or data lake), and processing high volumes of diagnostic data from the robot fleet. Ensure diagnostics generate clear, prioritized, and contextualized reports that summarize the state of the robot, enabling engineers to quickly understand the root cause of an abnormality without extensive log diving. Qualifications BS or MS in Computer Science, Electrical Engineering, Robotics, or a related technical discipline. 3+ years of professional experience in developing diagnostics, monitoring, or telemetry systems for complex electro‑mechanical devices, robotics, or embedded systems. Proficiency in software development (e.g., C++, Python) with specific experience in writing testable, robust code for embedded environments or robotics middleware. Experience with data structuring, schema design, and working with data ingestion pipelines (e.g., utilizing message queues, time‑series databases, or cloud data storage). Deep understanding of common robotics hardware and firmware failure modes, including motor control systems, sensor interfaces (e.g., CAN, I2C, Serial, USB), and power management systems. Technical triaging skills, familiarity with Ishikawa diagram are big plus. Familiarity with interpreting hardware schematics and leveraging low‑level system logs to identify failure points. Salary and Equity $145,000 - $190,000 a year. The range above is the salary range. This position will also receive generous equity. Culture We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws. Nimble's Benefits Paid Time Off - Enjoy the time you need to travel, rejuvenate, and connect with friends and family. Health Insurance - Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental Leave - Enjoy paid bonding time following a birth. Commuter Benefits - Take the stress out of commuting with access to fully‑paid parking spots. Referral Bonus - Get a cash bonus for any friend or colleague that you refer to us that we end up hiring. 401k - Contribute towards a 401k for retirement planning. Equity - Be an owner in Nimble through our equity program. #J-18808-Ljbffr
    $145k-190k yearly 16h ago
  • Senior Robotics Engineer, Software

    1X Technologies As

    Machining engineer job in Palo Alto, CA

    About 1X We're an AI and robotics company based in Palo Alto, California, on a mission to build a truly abundant society through general‑purpose robots capable of performing any kind of work autonomously. We believe that to truly understand the world and grow in intelligence, humanoid robots must live and learn alongside us. That's why we're focused on developing friendly home robots designed to integrate seamlessly into everyday life. We're looking for curious, driven, and passionate people who want to help shape the future of robotics and AI. If this mission excites you, we'd be thrilled to hear from you and explore how you might contribute to our journey. Role Overview As a Senior Robotics Software Engineer on the Real‑Time Software Team, you will work at the intersection of software, hardware, firmware, AI, and production to build the core systems that run on future generations of humanoid robots. You will develop real‑time C++ software, build tools for system identification and calibration, integrate with sensors and hardware, and help ensure the health, reliability, and safety of robots that will eventually be deployed at scale. Your work will play a critical role in advancing 1X from R&D into full‑scale manufacturing and global deployment. Responsibilities Develop production‑grade, real‑time C++ software for robust control systems Design efficient algorithms for state estimation Create tooling for system identification, precise calibration of actuators, transmissions, and full‑body kinematics Integrate hardware components and evaluate sensors for seamless functionality Build hardware bring‑up and debugging tools Develop software for robot health monitoring, visualization, and logging Build and maintain APIs for other software components to command and control the robot 3+ years of professional software engineering experience in a relevant robotics field Excellence in C++ and strong proficiency in other programming languages Experience with Linux deployed in hardware‑oriented products (e.g., IoT devices, robots, drones, automotive) Thorough understanding of object‑oriented programming, real‑time programming, linear algebra, data structures, and algorithms Experience with product development practices including release mechanisms, continuous integration, and continuous deployment Strong Linux system‑level knowledge: kernel tuning, process scheduling, memory management for optimized performance in robotics applications (preferred) Solid understanding of rigid body dynamics and numerical optimization techniques, with application to real‑time systems (preferred) Experience writing embedded C for interfacing with sensors or actuators and other parts of the embedded stack (preferred) Hands‑on with robotics hardware; having built your own robot or tinker with hardware in spare time (preferred) Benefits & Compensation Health, dental, and vision insurance 401(k) with company match Paid time off and holidays Equal Opportunity Employer 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law. #J-18808-Ljbffr
    $108k-158k yearly est. 1d ago
  • Forward Deployed Robotics Engineer

    Rethink Recruit

    Machining engineer job in San Francisco, CA

    About Medra At Medra, we're building an autonomous robotic platform that enables scientists to automate complex laboratory protocols and achieve continuous science with unmatched precision and scalability. By combining advancements in AI, robotics, computer vision, and natural language processing, we are transforming how science is done to tackle some of humanity's greatest challenges-from curing disease to advancing climate technology and beyond. Our goal is to enable the next biggest leap in scientific discovery, unlocking a world where experimental data generation is no longer limited by the pace of human scientists or the rigidity of traditional lab automation. This is an ambitious mission, but we believe that a team of ambitious people with high ownership can accomplish incredible things. The Team We're a team of passionate, mission-driven engineers from companies like Tesla, Amazon, SpaceX, and Neuralink. We're collaborative, love moving fast, and balance intensity with curiosity-whether we're building, testing, or learning something new. We value straightforward communication, hands‑on problem‑solving, and resolving challenges quickly and empathetically. About the Role We're looking for a Forward Deployed Robotics Engineer to act as a technical co‑founder for high‑impact customer projects. You'll work closely with partner scientists to deliver end‑to‑end robotic solutions that bring their research to life. This is a deeply hands‑on, entrepreneurial role combining engineering rigor with field execution. What You'll Do Operate like the technical co‑founder of a small startup within Medra, owning end‑to‑end delivery of customer projects. Partner with scientists to rapidly develop and deploy solutions to their most critical challenges. Set technical strategy and define roadmaps to meet project goals. Travel up to 30% to customer sites for hands‑on support, troubleshooting, and integration. Develop robotic solutions to manipulate and control biology tools designed for human operators. Integrate, test, and debug software solutions in simulation and on physical robots. Balance performance with simplicity and scalability, identifying opportunities for design optimization. Take ownership of complex robotics projects from conception to delivery. What We're Looking For 1-3 years of experience designing and working with robotics systems. Proven ability to solve complex problems creatively and communicate effectively with diverse stakeholders. Experience writing code for robotics systems (Python preferred). Strong mechanical intuition and hardware assembly/debugging skills. Familiarity with mechanical engineering tools and best practices in production. Comfortable working across hardware and software domains. A hacker's mindset - fast iteration and practical problem‑solving. Experience or familiarity with robot arm manipulators. BS/MS in Mechanical Engineering, Robotics, Mechatronics, Electrical Engineering, Aeronautical Engineering, or related field (or equivalent experience). Entrepreneurial drive with a desire for broad ownership and autonomy. Bonus Points Experience with software engineering tools and best practices in production. Prior startup experience or technical leadership roles. Experience with robotics in laboratory or manufacturing environments. Familiarity with simulation systems such as MuJoCo. Experience designing, building, and testing hardware systems. Understanding of software communication protocols (ZMQ, Redis, gRPC, etc.). Contributions to shipped hardware/software products. Research or work experience in ML, computer vision, motion planning, trajectory optimization, control, or SLAM. What We Offer 401(k) plan Medical, dental, and vision insurance Relocation benefits Unlimited PTO Weekday dinners provided Note: This position is 100% onsite in San Francisco, CA. Medra does not offer hybrid roles, but relocation support is available. #J-18808-Ljbffr
    $109k-158k yearly est. 1d ago
  • Autonomy Engineer, Robotics Behaviors

    Andromeda Robotics

    Machining engineer job in San Francisco, CA

    About Us Andromeda Robotics is an ambitious social robotics company with offices in Melbourne and San Francisco, dedicated to creating robots that seamlessly and intelligently interact with the human world. Our first robot, Abi, is a testament to this vision-a custom-built platform designed from the ground up to be a helpful aid and intuitive partner in aged care homes. We are a passionate, collaborative team of engineers solving some of the most challenging problems in AI and robotics. To accelerate our development and ensure Abi's reliability, we are seeking a foundational member to build out our capabilities to train and test our robot in simulation. The Mission: Give Abi the Freedom to Move We are looking for a first-principles Autonomy Engineer to solve one of the hardest challenges in robotics: enabling our robot, Abi, to navigate safely and gracefully alongside people. This role starts with simple A-to-B navigation but goes far beyond that. You will be responsible for developing the core decision-making and behavior logic that allows Abi to understand, predict, and react to the complexities of human-centric environments like aged care homes. This is a chance to build a production-grade autonomy stack from the ground up and ship a product that has a meaningful impact on people's lives. This role can be performed from either one of our two primary locations: South Melbourne, VIC, Australia or San Francisco, CA, USA. Key Responsibilities Develop the Brains of Navigation: You will design and implement the core decision-making and motion planning stack for Abi. This includes creating algorithms for navigating crowded hallways, negotiating right-of-way in social contexts, and ensuring all movements are safe, smooth, and predictable. Predictive Behavior Modelling: You will build models that predict the motion and intent of people in Abi's vicinity. You'll move beyond simple obstacle avoidance to create a system that anticipates human behavior, enabling more intelligent and socially aware interactions. Build Robust Fail-Safes: You will rigorously define the operational design domain (ODD) and develop robust, verifiable safety and fallback systems. Your work will ensure Abi can identify and safely handle edge cases and system limitations. Data-Driven Development: You will own the full data lifecycle. This includes identifying key performance indicators (KPIs), creating automated data collection and evaluation pipelines, and using real-world fleet data to find failure modes and drive algorithmic improvements. Simulation & Validation: You will use high-fidelity simulation scenarios to test complex interaction logic at scale, ensuring our software is validated against millions of diverse and challenging situations before it's deployed to hardware. Ideally You Have A proactive, first-principles thinker who is excited by the prospect of owning a critical system at an early-stage startup. Bachelor's or Master's Degree in Computer Science, Robotics, Engineering, or a related field. 3+ years of professional experience autonomous systems for complex systems like robots, autonomous vehicles, or drones. Strong programming proficiency in C++ and Python. Experience with robotics simulation platforms (e.g., NVIDIA Isaac Lab, Gazebo, CARLA, AirSim) and physics engines (e.g., PhysX, MuJoCo). Excellent understanding of core robotics principles (kinematics, dynamics, perception, and control). Experience with ROS/ROS2. Strong experience developing testing and deploying at least one of the following: Perception (Lidar / camera machine vision) Mapping and planning algorithms SLAM Motion control (MPC and similar) Bonus Points PhD in a relevant field. Experience with robotics in human rated environments. Experience with the certification of a robot in human environments (eg. ISO-13482). The salary for this position may vary depending on factors such as job-related knowledge, skills, and experience. The total compensation package may also include additional benefits or components based on the specific role. Details will be provided if an employment offer is made. If you're excited about this role but don't meet every requirement, that's okay-we encourage you to apply. At Andromeda Robotics, we celebrate diversity and are committed to creating an inclusive environment for all employees. Let's build the future together. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr
    $109k-158k yearly est. 4d ago
  • Robotics Engineer, Developer Relations

    Foxglove

    Machining engineer job in San Francisco, CA

    Robotics will have a massive positive impact on the world economy and global human productivity over the coming decade. At Foxglove, we're excited for this future, and we're building powerful open source and commercial tools to accelerate it. We're an experienced team of independent thinkers, with a passion for creating high quality products. We're looking for self-motivated and fast-learning individuals to join our mission. About the role As a Developer Relations Engineer, you'll be Foxglove's technical storyteller and community builder. You'll create engaging technical content - from explanation videos and tutorials to live demos and event talks - that help roboticists and developers get the most out of Foxglove. You'll represent Foxglove at conferences, online communities, and meetups, serving as the voice of our developer audience internally. You'll combine creativity, empathy, and technical depth to inspire adoption, gather feedback, and foster collaboration across the robotics ecosystem. Location Foxglove is a remote-friendly company, with employees spread across many locations. We maintain Pacific Time hours and hire within ±4 hours of U.S. time zones to ensure effective collaboration. For this role, we ideally looking for someone to work onsite from our office in San Francisco, since there will be significant robot hardware interactions. What you'll do Build real-world examples and reference projects that demonstrate how developers and robotics teams can use Foxglove across Physical AI and robotics workflows. Use those projects as the foundation for educational content - creating world-class blogs, tutorials, videos, and live demos that help developers understand, adopt, and succeed with Foxglove's platform. Grow, support, and engage directly with the developer community across Slack, Discord, GitHub, Reddit, X/Twitter, and LinkedIn - answering questions, joining discussions, and amplifying user projects and feedback. Livestream and share stories from robotics events, hackathons, and meetups to celebrate innovation and showcase how Foxglove enables cutting-edge work in Physical AI. Collaborate closely with Product and Engineering to surface community insights, identify developer pain points, and help guide roadmap priorities - occasionally contributing fixes or improvements directly to the product or documentation. Contribute to open-source projects and build trust through authentic technical contributions, ensuring developers have working, well-documented examples they can learn from and build upon. Champion developer experience internally, ensuring documentation, onboarding, and APIs are clear, consistent, and delightful for users. Experiment with new formats and channels - from short-form video and podcasts to interactive demos and technical blog series - to reach developers in creative, impactful ways. Reduce engineering support by proactively maintaining content, examples, and educational resources that help developers learn and troubleshoot independently. Represent Foxglove publicly at events and conferences - speaking, demoing, and connecting with developers, researchers, and partners across the robotics and AI ecosystem. What we're looking for Technical fluency: 5+ years of experience as a software engineer or developer advocate working in developer tools, robotics, and open source ecosystems. Strong engineering foundation: Skilled in Python, C++, and or Rust; comfortable working across MLOps and robotics infrastructure. Broad understanding of robotics and ML systems: Familiar with ROS, simulation, 3D geometry, and data pipelines - able to communicate effectively with engineers, researchers, and practitioners in these fields. Exceptional communicator: Able to explain complex technical topics clearly through writing, video, and live presentations, adapting tone and depth to fit different audiences. Creative content producer: Experienced in creating blogs, tutorials, demos, YouTube videos, or livestreams that inspire and educate developers. Community builder: Passionate about engaging with developers and nurturing authentic relationships - active where they are (GitHub, Discord, Reddit, LinkedIn, X/Twitter). Analytical and data-informed: Comfortable using analytics to measure engagement, track reach, and iterate on community strategy. Collaborative partner: Works seamlessly with Product, Engineering, and Marketing to amplify impact, share insights, and close the loop between users and the product team. Storyteller with technical credibility: You bring both engineering depth and creativity - turning real-world robotics and AI challenges into approachable, inspiring stories. Track record of public contribution: You've shipped cool projects or educational content - whether through open source, blogs, or talks - that demonstrate your expertise and passion for developer communities. Event and community program experience (bonus): Prior involvement in organizing technical events, hackathons, or workshops is a plus. Ownership mindset: You thrive in a fast-moving, collaborative environment and take initiative - viewing community success as shared success. Curious and helpful by nature: You enjoy solving problems, learning continuously, and helping others do the same. What We Offer $300 monthly budget towards commuter benefits or building your personal workspace (remote only) Competitive equity grant in a Series B company Medical, Dental, Vision, and Term Life insurance coverage at 100% for employees and 75% for dependents 401(k) matching up to 4% 4 weeks vacation, plus holidays and winter break All expenses paid company off-sites 2× per year Why Join Us Impact: Own growth at a fast-growing, high-leverage moment for the company. Mission: Accelerate the development of the next generation of robotics and embodied AI. Team: Work with world-class engineers, designers, and researchers passionate about open-source and developer tools. Ownership: Drive initiatives end-to-end, with high autonomy and visibility. #J-18808-Ljbffr
    $109k-158k yearly est. 2d ago
  • Robotics ML Engineer - Real-World Locomotion & Perception

    Under Control Robotics

    Machining engineer job in Sunnyvale, CA

    A robotics company in Sunnyvale is seeking a Machine Learning Engineer to lead the development of advanced AI systems for multipurpose humanoid robots. The role emphasizes collaboration and responsibility in creating robust learning algorithms that enable functionality across diverse environments. Ideal candidates possess a strong programming background and experience in robotic applications. Apply by submitting your resume and work examples to the provided email. #J-18808-Ljbffr
    $108k-158k yearly est. 4d ago
  • Machine Learning Engineer

    Cisco Systems 4.8company rating

    Machining engineer job in Sunnyvale, CA

    Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. The Splunk AI Platform and Services team provides the core runtime and developer experience that power AI across Splunk and Cisco. We manage large-scale, multi-tenant LLM inference across major cloud providers and build platform services to support these workloads. We also provide VectorDB/RAG services and MCP services that make AI workloads secure, observable, and cost-efficient for product teams. On top of this foundation, we deliver agentic frameworks, SDKs, tools, and evaluation/guardrail capabilities that help teams quickly build reliable GenAI assistants and automation features. You'll join a group that sits at the intersection of distributed systems, ML, and developer experience, grounded in operational excellence and a culture of impact‑driven, cross‑functional collaboration. Your Impact Implement features for GenAI services and APIs that power chat assistants, and automation workflows across Splunk products. Help build and maintain RAG pipelines: retrieval orchestration, hybrid search, chunking & embeddings, and grounding with logs/events/metrics. Contribute to agentic and multi‑agent workflows using frameworks like LangChain or LangGraph, integrating with MCP tools, internal APIs, and external systems. Develop and refine developer‑facing SDKs, templates, and reference apps (primarily Python/TypeScript) that make it simple for other teams to compose tools, chains, and agents on top of it. Integrate with LangSmith or similar eval stacks to instrument prompts, capture traces, and run evaluations under the guidance of more senior engineers and scientists. Collaborate with product managers and UX to turn user stories into GenAI experiences, iterate based on feedback, and ship features that move customer and business metrics. Apply and advocate responsible AI practices in day‑to‑day work: grounding, guardrails, access controls, and human‑in‑the‑loop flows. Minimum Qualifications: Bachelor's degree in computer science, Engineering, or equivalent practical experience. 5+ years of hands‑on experience building and operating backend or distributed systems in production or 2+ years of experience with a Master's degree Proficiency in at least one modern programming language (e.g., Python, TypeScript/JavaScript, Go, or Java) and solid software design/debugging skills. Some hands‑on experience with LLM APIs and ecosystems (e.g., OpenAI, Claude, Bedrock, or OSS models such as Llama) and related production features. Familiarity with web APIs and microservices (REST/gRPC), including testing, deployment, and basic observability (logs/metrics). Demonstrated ability to work end‑to‑end on features: collaborate on design, implement, write tests, help deploy, and iterate based on metrics or feedback. Preferred Qualifications: Experience or strong interest in RAG systems and vector databases (Weaviate, Qdrant, Milvus, FAISS, etc.). Exposure to agentic frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar) and tool/agent orchestration patterns. Familiarity with LangSmith or similar evaluation platforms, or experience instrumenting prompts/pipelines for quality and debugging. Background contributing to platform or Developer experiences capabilities: internal libraries, SDKs, templates, or shared components that other engineers use. Experience with full‑stack development for GenAI interfaces (React/TypeScript), including prompt UX or conversation flows, is a plus. Understanding basic AI safety and governance concepts (guardrails, data privacy, RBAC) and how they apply in an enterprise environment. Strong communication skills and a growth mindset, comfortable asking questions, giving/receiving feedback, and learning from more senior teammates. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $181,000.00 to $235,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job‑related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long‑term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non‑exempt employees 1 paid day off for employee's birthday, paid year‑end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non‑exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full‑time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non‑sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance‑based incentive pay on top of their base salary, which is split between quota and non‑quota components, subject to the applicable Cisco plan. For quota‑based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non‑quota‑based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $181,000.00 - $270,300.00 Non‑Metro New York state & Washington state: $165,300.00 - $240,600.00 For quota‑based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non‑exempt, will participate in a unique time off program to meet local requirements. Cisco is an affirmative action and equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records. #J-18808-Ljbffr
    $181k-270.3k yearly 1d ago
  • Robotics Engineer, Deployment & Testing

    Menlo Ventures

    Machining engineer job in San Francisco, CA

    We are looking for a Robotics Engineer specializing in Deployment & Testing to help further the performance and capabilities of Skild AI's world-class high-level software and products through formalized, rigorous testing. You will design and implement automated software tests and the ecosystems in which they run. As a critical member of the robotics team, you will have an important role in defining the quality standards of our software while accelerating its development. Responsibilities Define, implement, and maintain comprehensive regression tests for Skild AI's software and products. Design and organize test plans according to priority, impact, risk, and feasibility. Debug and troubleshoot failures in complex scenarios while testing and/or deployment at customer sites. Maintain robots and ensure they are deployment ready. Recreate corner cases from production logs into repeatable tests. Collaborate closely with robotic software developers and machine learning engineers and provide feedback on what needs to be improved to produce and sustain a top-quality product that meets customer expectations. Preferred Qualifications BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. Proficiency developing in low-level systems languages (C, C++, Rust, Go) and Python. Experience with complex software systems working in real-time with embedded systems. Experience with Test Management and Requirements software. Experience with ROS/ROS2 or other robotics middleware platforms. Previous work experience as a Test Engineer. Prior experience developing and deploying software on real robots. Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design. Familiarity with machine learning integration and deployment in robotic systems. Base Salary Range $100,000 - $300,000 USD #J-18808-Ljbffr
    $100k-300k yearly 4d ago
  • Lead Robotics AI Engineer

    Rethink Recruit

    Machining engineer job in San Francisco, CA

    Gritt Robotics is building physical AI systems that automate the construction of renewable energy infrastructure - dramatically accelerating the global transition to clean energy. Founded by experts from Carnegie Mellon, MIT, and Stanford, and backed by top-tier VCs (early investors in Uber, Notion, and Lyft), Gritt is at the forefront of climate-impact robotics innovation. We are looking for a Lead Robotics AI Engineer to join our early team and play a foundational role in developing intelligent, autonomous robots that operate in complex, unstructured outdoor environments. This role is ideal for someone passionate about robotics, eager to work hands‑on, and ready to lead technical development in a high‑impact, mission‑driven startup. What You'll Do Design, develop, and deploy state‑of‑the‑art AI systems for robotic manipulation and navigation Drive AI architecture decisions in perception, planning, and control Build and optimize simulation‑driven training and validation pipelines Work across sensor modalities including vision, LIDAR, and tactile sensing Improve model performance in challenging outdoor conditions and on real hardware Optimize training and inference for GPU environments Collaborate with cross‑functional engineering teams and grow into leadership roles What We're Looking For M.S. or Ph.D. in Robotics, Computer Vision, Machine Learning, or a related field - or equivalent experience 4+ years of hands‑on experience developing and deploying AI solutions in robotics (manipulation, navigation, or similar) Deep expertise in computer vision, machine learning, deep learning, or reinforcement learning Familiarity with techniques like VLMs, deep RL, and imitation learning Proficient in Python and modern frameworks such as PyTorch Comfortable working autonomously and taking ownership in fast‑paced environments Strong analytical, debugging, and problem‑solving skills Must be legally authorized to work in the U.S. Why Gritt Tackle some of the hardest problems in robotics with climate‑impacting outcomes Join a deeply technical founding team and grow into key leadership roles Competitive salary, equity, and full health/vision/dental coverage Build the future of physical AI for a sustainable planet #J-18808-Ljbffr
    $109k-158k yearly est. 1d ago
  • AI Machine Learning Engineer II (Full Time) United States

    Cisco Systems 4.8company rating

    Machining engineer job in San Jose, CA

    Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet The Team You will join a dynamic engineering team, building AI/ML solutions and collaborating closely with various teams, including platform, security, release engineering, and support, to deliver the product. You will also contribute to ensuring the product's smooth operation. Your Impact In this role, you will be responsible for developing and implementing applications based on generative large language models, such as GPT‑4, Claude, Llama, and their derivatives, ensuring they meet business requirements. Your duties will include optimizing these generative AI applications for optimal performance, scalability, and reliability. You will engage in red teaming activities to validate the robustness and precision of the applications. Staying up‑to‑date with the latest advancements in AI and machine learning is expected, as is suggesting how new technologies might be implemented. Additionally, you will design and develop APIs to facilitate interactions with AI models. Addressing and resolving any issues that arise from AI applications will be an integral part of your responsibilities. Collaborates with cross‑functional teams to capture, preprocess, and load data for model training, and participates in model architecture discussions. Develops, customizes, and fine‑tunes machine learning models and their layers to address business needs and reduce complexity. Conducts model training using predefined optimization techniques, including hyperparameter tuning, to ensure models align with problem statements. Evaluates model performance using standard metrics and contributes to end‑to‑end automation and deployment efforts. Writes high‑quality, production‑ready code for platform‑based deployment, supports embedded engineering teams in deploying models, and ensures models meet business objectives. Minimum Qualifications Completion within the past 3 years, or current enrollment with expected completion within 12 months, of a Bachelors + 2 years of relevant experience or Master's degree program + 0 years of relevant experience. Relevant fields include: Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related program. Deep understanding of various machine learning algorithms, including supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), or semi‑supervised learning. Preferred Qualifications Proficient in deploying and scaling ML models using cloud services such as AWS, Google Cloud Platform, and Azure. Experienced with CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), and ML model monitoring tools. Knowledgeable in big data technologies including Hadoop, Spark, and Kafka. Skilled in Go/Java for backend development and integration with data science applications. Demonstrated background in machine learning, generative AI, and time series analytics through coursework, research, publications, or industry experience, and effective collaboration with cross‑functional teams to deliver production‑ready ML solutions. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada Individual pay is determined by the candidate's hiring location, market conditions, job‑related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long‑term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non‑exempt employees 1 paid day off for employee's birthday, paid year‑end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non‑exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full‑time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non‑sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance‑based incentive pay on top of their base salary, which is split between quota and non‑quota components, subject to the applicable Cisco plan. For quota‑based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non‑quota‑based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $123,600.00 - $200,100.00 Non‑Metro New York state & Washington state: $109,900.00 - $181,600.00 For quota‑based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non‑exempt, will participate in a unique time off program to meet local requirements. Cisco is an affirmative action and equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records. #J-18808-Ljbffr
    $123.6k-200.1k yearly 4d ago

Learn more about machining engineer jobs

How much does a machining engineer earn in Half Moon Bay, CA?

The average machining engineer in Half Moon Bay, CA earns between $97,000 and $210,000 annually. This compares to the national average machining engineer range of $83,000 to $182,000.

Average machining engineer salary in Half Moon Bay, CA

$143,000

What are the biggest employers of Machining Engineers in Half Moon Bay, CA?

The biggest employers of Machining Engineers in Half Moon Bay, CA are:
  1. Roblox
  2. Guidewire Software
  3. Upstart Services
  4. CARE
  5. TreeRing
  6. Pattern
  7. Protingent
  8. Overjet
  9. Ring
  10. PlayStation
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