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Overview: SimVentions is looking for a junior to mid level embedded software developer to help develop government systems on-site at NSWCDD. Travel: Travel on occasion within Continental US. Clearance: An ACTIVE Secret Clearance is required for this position. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: 3-5 Years experience with embedded software development related to microcontrollers or similar devices Proficiency in C Experience in C# Experience with git Experience with software debugging and associated tools Experience with hardware debugging at the logical level and associated tools Experience with Code Composer Studio and/or MPLAB X and/or Visual Studio Basic knowledge of satellite constellations Basic testing, troubleshooting, & soldering skills Knowledge of embedded software development for hardware is required Knowledge of hardware architectures, microcontrollers and communication protocols Knowledge of writing test cases, unit testing and validation of hardware software integration Knowledge in diagnosing and resolving network-related issues, including network configuration, connectivity, and data transmission problems Ability to work in a fast paced, rapidly changing range/field environment with a focus on fielding a product Ability to work with others to meet established goals and program schedules Ability to communicate effectively, both verbally and in writing Responsibilities: The Firmware Developer will write firmware to run on specified microcontrollers to achieve desired functionality. This functionality can range from making a device more robust to adding user desired functionality to adding support for a new set of hardware (GNSS engine, satellite transceiver, etc.). Updating or writing tools to be able to configure newly updated devices is also expected. Coding embedded microcontrollers Develop embedded software for new and existing systems Write firmware to run on specified microcontrollers to achieve desired functionality This functionality can range from making a device more robust to adding user desired functionality to adding support for a new set of hardware (GNSS engine, satellite transceiver, etc.) Updating or writing tools to be able to configure newly updated devices Support testing and assessment of embedded systems locally and at external locations Utilize software development best practices within government development processes Identify and incorporate the latest hardware, technology, and techniques in this rapidly evolving environment Routinely collaborate with the government team through regularly scheduled meetings on-site Preferred Skills and Experience: Excellent communication skills Education: Degree in Computer Science, or related Engineering Field Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $79,000 - $110,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short- & long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership: Work with the best and help build YOUR company! Family focus: Work for a team that recognizes the importance of family time. Culture: Add to our culture of technical excellence and collaboration. Dress code: Business casual, we like to be comfortable while we work. Resources: Excellent facilities, tools, and training opportunities to grow in your field. Open communication: Work in an environment where your voice matters. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food: We have a lot of food around here! FTAC

COME JOIN MID-CONTINENT! "Where your work is valued-above-market pay, real work-life balance, and a team that feels like home." THE POSITION As a Software Certification Engineer , you will provide engineering and technical support in the evaluation and testing of existing and emerging technologies, systems, and capabilities. You will plan and implement the RTCA DO-178C and DO-254 lifecycle processes for avionics, power electronics, and battery systems. You'll verify complex microcontroller and FPGA designs to achieve coverage of functional and structural aspects. Product areas include cockpit displays and instruments, local and remote sensing, data conversion and storage, lithium battery management, AC/DC and DC/DC power conversion up to 8000W, in-seat power solutions, and various other components needed in aircraft systems. To be successful in this role, you'll need to provide expert analysis to meet the highest level of safety and reliability, implementing safety-critical software design processes. THIS POSITION MAY BE FOR YOU IF You have a bachelor's degree in computer engineering or related field You have a minimum of one year of experience with RTCA DO-178C or similar safety-critical software design process. You are proficient in C programming. You have the ability to work directly with target hardware, including lab bench equipment and other tools for debugging and analysis. You are proficient with Microsoft Office. You have strong attention to detail. You are organized, focused and results oriented. You are a problem-solver with critical thinking and prioritizing skills. You have excellent verbal, written and interpersonal communication skills. WE WOULD REALLY LIKE IT IF (but it's not a deal breaker) You have experience with C#, or Python languages for a PC application software. You have familiarity with VHDL and RTCA DO-254. You have familiarity with formal coding standards and safety-critical design considerations. WHAT YOU CAN EXPECT FROM ONE DAY TO THE NEXT Create and review design data within the software qualification lifecycle process. Practice safety-critical methods, create plans, requirements, design standards, coding standards, change tracking and verification, formal and functional verification Test and troubleshoot prototype and certified code on target hardware. Includes working in a lab bench environment with the necessary test equipment Design embedded software for microcontroller-based systems, as well as PC-based applications for verification and manufacturing Support software design using current tools, design environments and documentation methods Prototype and execute test programs to verify compliance with applicable performance, regulatory, and quality requirements WE ARE ONE OF THE BEST PLACES TO WORK We provide competitive pay and a comprehensive benefits package. We promote an environment where you can excel in your career while maintaining a healthy work-life balance. Our facility is climate controlled, clean, organized, and safe. We operate in a professional, light manufacturing environment. We believe anything worth doing is worth doing right - every time. We have frequent events to keep work interesting. Our food drive is super impressive, we enjoy an annual food truck fest appreciation day, monthly fruit/donut day, employee luncheons throughout the year, wellness challenges with incentives, and frequent ticket raffles for local sporting and cultural events. We have a small company feel - even though we're doing big things! WHO WE ARE Founded in 1964, Mid-Continent Instruments and Avionics provides superior instruments, avionics and power solutions to the global aerospace community. We operate one of the largest maintenance, overhaul and exchange programs in the world, and deliver safe and certified products, using innovative technologies and sophisticated clean sheet designs. At Mid-Continent Instruments and Avionics, we are committed to quality, service, integrity, and professionalism. Our employees serve the best customers from all over the world in general, business and commercial, advanced air mobility, defense and special missions markets. In this role, you'll be an important part of the reason our customers consider us a premier instrument, avionics, and aircraft power solutions provider. This job description is intended to describe the general nature and level of work performed and is not intended to be an exhaustive list of all responsibilities, duties and skills required. Actual compensation offered within the targeted salary range will be determined by factors such as job-related knowledge, skills, and experience. Compensation details: 00 Yearly Salary PId59a61e8f1b1-2601

About the Company: Airgain simplifies wireless connectivity across a diverse set of devices and markets, from solving complex connectivity issues to speeding time to market to enhancing wireless signals. Our products are offered in three distinct sub-brands: Airgain Embedded, Airgain Integrated and Airgain Antenna+. Our mission is to connect the world through optimized integrated wireless solutions. Airgain's expertise in custom cellular and antenna system design pairs with our focus on high-growth technologies and our dedication to simplify the growing complexity of wireless. With a broad portfolio of products across the value chain, from embedded components to fully integrated products, we are equipped to solve critical connectivity needs in both the design process and the operating environment across the enterprise, automotive, and consumer markets. Airgain is headquartered in San Diego, California, and maintains design and test centers in the U.S., U.K., and China. At Airgain, "We Simplify Wireless" is not only our tagline, but our creed and passion. A fast-moving technology company, Airgain sets the very pulse of the wireless connectivity industry, giving our unwavering focus on bringing innovative solutions to market, providing new pathways, insights and products that solve complex RF engineering problems. Our team is comprised of the industry's most talented, driven, experienced and entrepreneurial innovators and leaders in wireless connectivity. And if that is something that resonates, well then we would love an opportunity to speak with you. About the Role: We are seeking a highly skilled and detail-oriented Wi-Fi Test Engineer to join our team. As a Wi-Fi Test Engineer, you will be responsible for the tasks: Designing, developing, executing, and reporting results from comprehensive test plans and test cases to ensure the quality and reliability of our leading-edge Wi-Fi-enabled products. Will work closely with cross-functional teams, including hardware and software engineers, to identify and resolve Wi-Fi-related issues, optimize performance, and ensure compliance with industry standards. Have a strong background in wireless communication protocols, hands-on experience with Wi-Fi testing tools, strong customer-facing communication skills, and a relentless passion for delivering exceptional Wi-Fi experiences to end-users. Essential Function: Collaborate with cross-functional teams to develop test plans including strategies, methodologies, and best practices for Wi-Fi testing. Join our Airgain team for discussion and negation with customers for approval on each project's test plan, schedule, technical approaches as well as resource (HW/SW) support from customers. Develop, execute, and create reports from test plans, test cases, and test scripts to validate the functionality, performance, and interoperability of Wi-Fi-enabled products. Perform system-level testing of Wi-Fi features, including network connectivity, security, roaming, and throughput, to identify and resolve issues. Collaborate with hardware and software engineers (Airgain or customer sides) to define Wi-Fi test requirements and provide feedback on design improvements. Set up and maintain test environments, including Wi-Fi networks, routers, and test equipment as well the maintenance of the test house environment Conduct Wi-Fi signal analysis and troubleshooting using specialized tools and equipment. Keep up to date with the latest Wi-Fi technologies, DUT and equipment, standards, and industry trends to drive continuous improvement in testing processes. Provide clear and concise reports on test results, including performance metrics and recommendations for optimization to Sale and Customer review and approval. Other duties as assigned. Requirements/Qualifications: Bachelor's or Master's degree in Electrical Engineering, Computer Science, related field, or equivalent experience. 2+ years related experience in Solid understanding of wireless communication protocols, especially Wi-Fi (802.11a/b/g/n/ac/ax). Strong experience in Wi-Fi testing over-the-air tests, including familiarity with test methodologies, tools, and frameworks Network experience in IP address (v4/v6), subnet mask, routing , etc. Knowledge of TCP/IP networking principles, configurations, and protocols - and the ability to perform these tasks. Experience with Wi-Fi testing in the context of consumer electronics or networking devices. Knowledge of regulatory compliance requirements (such as FCC, CTIA, 3GPP, etc.) for Wi-Fi products. Familiarity with Wi-Fi certification processes and testing requirements. Understanding of RF (Radio Frequency) principles and antenna design considerations. Proficiency in using Wi-Fi testing tools such as desk and laptop computers, spectrum analyzers, traffic generators, and network analyzers. Excellent problem-solving and debugging skills, with the ability to analyze complex Wi-Fi-related issues. Familiarity with security protocols and encryption standards used in Wi-Fi networks. Experience with scripting or programming languages (e.g., Python, Java, Linux) for test automation and CPE. Self-motivated and proactive in staying up to date with the latest Wi-Fi technologies and industry trends. Understanding or willing to learn RF system and Wi-Fi antennas and their TRP/TIS related to Wi-Fi over-the-air test is a plus. Understanding or willing to learn LTE / 5G FR1 / Bluetooth (BTLE) related to Wi-Fi over-the-air test is a plus. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Attention to detail and a commitment to delivering high-quality results. Proficiency in Microsoft tools required Excellent written, verbal and presentation skills Excellent organizational and time-management skills, with the ability to prioritize multiple tasks while meeting strict deadlines Benefits available to Regular Full Time Employees: Medical/Dental/Vision 401K Match ESPP Life & Disability Insurance Vacation and Sick Leave Flexible hours Compensation: The US base salary range for this full-time position is $34/hr to $40/hr + annual bonus. Our salary ranges are determined by a number of factors, including but not limited to the role, location, job-related skills, relevant education, experience and training. The range displayed on each job posting reflects the target range for new hire base salary for the position across all US locations and varies by the location of the position. Our Talent team member can share more about our salary ranges and other benefits, which are not included in the posted base salary range. Compensation details: 34-40 Hourly Wage PI6b2276a6-

COME JOIN MID-CONTINENT! "Where your work is valued-above-market pay, real work-life balance, and a team that feels like home." THE POSITION As a Software Engineer, you will design avionics, power electronics, and battery systems with an emphasis on AHRS and INS products using the latest advances in sensor technologies. You'll create unique intellectual property to address the growing demand for software-defined behavior. You can expect a variety of opportunities ranging from products for cockpit displays, instruments and navigational references based on local and remote sensor inputs. Additional products include data conversion and storage, lithium battery management, AC and DC power conversion, and in-seat power solutions. THIS POSITION MAY BE FOR YOU IF You have a bachelor's degree in computer engineering or related field. You have a minimum of 10 years of experience designing embedded software in the U.S. You have a minimum of 5 years of experience as principal designer for AHRS and INS solutions. You have a minimum of 5 years of experience characterizing and calibrating inertial sensor devices. You have the ability to work directly with target hardware, including lab bench equipment, other tools for debugging and analysis. You have proficiency programming in C. You are proficient with Microsoft Office. You have strong attention to detail. You are organized, focused, and results oriented. You are a problem-solver with critical thinking and prioritizing skills. You have excellent verbal, written and interpersonal communication skills. WE WOULD REALLY LIKE IT IF (but it's not a deal breaker) You have experience with C#, C++, or Python languages for PC application software. You have experience with VHDL. You have experience designing safety-critical software, utilizing RTCA DO-178, DO-254 or similar processes. You have experience designing or troubleshooting PCB system hardware. You have experience with Design for Manufacture and Design for Test (DFM & DFT). WHAT YOU CAN EXPECT FROM ONE DAY TO THE NEXT Design and implement embedded C software for bare-metal microcontroller-based systems with an option for VHDL firmware for FPGA-based systems Architect and implement ARHS and INS products utilizing MEMS, FOG or other commercially available technologies Design tools to support manufacturing, calibration and verification of safety-critical products Build and troubleshoot hardware, including basic soldering, operation of test equipment, and daily work in both office and test lab environments Prototype and execute test programs to verify compliance with applicable performance, regulatory, and quality requirements WE ARE ONE OF THE BEST PLACES TO WORK We provide competitive pay and a comprehensive benefits package. We promote an environment where you can excel in your career while maintaining a healthy work-life balance. Our facility is climate controlled, clean, organized, and safe. We operate in a professional, light manufacturing environment. We believe anything worth doing is worth doing right - every time. We have frequent events to keep work interesting. Our food drive is super impressive, we have an annual food truck fest appreciation day, monthly fruit/donut day, employee luncheons throughout the year, wellness challenges with incentives and frequent ticket raffles for local sporting and cultural events. We have a small company feel - even though we're doing big things! WHO WE ARE Founded in 1964, Mid-Continent Instruments and Avionics provides superior instruments, avionics and power solutions to the global aerospace community. We operate one of the largest maintenance, overhaul and exchange programs in the world, and deliver safe and certified products, using innovative technologies and sophisticated clean sheet designs. At Mid-Continent Instruments and Avionics, we are committed to quality, service, integrity, and professionalism. Our employees serve the best customers from all over the world in general, business and commercial, advanced air mobility, defense and special missions markets. In this role, you'll be an important part of the reason our customers consider us a premier instrument, avionics, and aircraft power solutions provider. This job description is intended to describe the general nature and level of work performed and is not intended to be an exhaustive list of all responsibilities, duties and skills required. Actual compensation offered within the targeted salary range will be determined by factors such as job-related knowledge, skills, and experience. Compensation details: 00 Yearly Salary PI2f9460cda6-

Job Description Job Description Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America's food supply by building the AI farmer that automates our nation's farms. We've raised over $25M in pursuit of our mission to help farmers farm more profitably and sustainably than ever before. What We Do: We start by building AI-powered camera systems that collect the most valuable data for farmers, telling them everything about what is growing on their millions of trees, vines, and plants, across thousands of acres of farmland. Our state-of-the-art AI analyzes every one of the billions of fruit across a farm. We provide accurate yield estimates, fruit counts, size projections, disease detection, inventories, bloom maps, and more! All this data lives in our cloud platform, FruitScope OS, that we've developed from the ground up to enable farmers to manage their crop with precision. Today, our technology is trusted by some of the largest farms in the nation. We are growing fast, and have the industry-leading product. Farmers use our software every day to make critical decisions and run more efficient, profitable operations. The Role: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems. About the role: Full-time, in-person role at our San Francisco or Seattle office. As an early engineer, you'll receive generous equity compensation Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium We move fast, and sometimes this means staying late or working weekends Our team is close-knit & highly driven, you'll work directly with our CEO and entire team We're deeply motivated by the impact we're making - every line of code written or new system built means less food that goes to waste, and more people who are fed. What you'll do: Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms. Develop and deploy infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices. Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance. Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems. Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems. Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features. Be a generalist, supporting different parts of our software stack as needed. What makes you a good fit: 2+ years of real-world, industry experience building production-grade data pipelines and ML infrastructure. Proficiency in Python and experience with ML frameworks (e.g., PyTorch). Strong experience with data engineering tools (e.g., Pandas, SQL, MLFlow, WandB). Familiarity with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes). Experience working with massive amounts of real-world training data. Familiarity with MLops software and data engineering to ensure consistent deployment of ML models. Ability to work independently, learn quickly, and operate in a dynamic environment Enthusiasm for taking on multiple roles and responsibilities as our company grows. Bonus Points: Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson Experience prototyping, evaluating, or deploying new ML/CV models on the edge. If you're looking to help make a positive impact in the world by building the future of farming, come join us! Compensation Range: $135K - $210K

Job Description Job Description Samsung SDS America AI Team is researching the next generation of intelligent robotic systems that operate in the real world. Working with multiple robot hardware partners, we use their platforms to develop complete embodied AI systems, spanning data collection through teleoperation, policy training, and deployment on physical robots in real-world environments. We are looking for a Senior Physical AI Engineer to join the team developing this end-to-end pipeline. You will work hands-on with humanoid robots, collecting demonstration data through teleoperation, training learning-based policies, deploying them on the physical platform, and iterating through live test runs in real environments, not just simulation. You will also research dexterous manipulation, advancing the hand and grasping capabilities that enable robots to handle complex tasks. This role sits at the intersection of robotics, embodied AI, machine learning, and production software engineering. You will connect high-level AI models to physical robot behavior, enabling robots to perceive, learn, adapt, and act safely in dynamic environments. What sets our lab apart is the shared ownership and the path to impact. You will work alongside a small team that takes real ownership of what we develop here, helping shape research directions, building systems directly, and seeing your work move quickly from ideas to robot experiments on real hardware. Samsung SDS builds and operates systems that support manufacturing at scale across thousands of factory lines worldwide. The Physical AI capabilities we research here are aimed at that production environment, with a path that extends from a single robot today toward coordinated multi-robot systems on the factory floor. This is a hands-on research and engineering role spanning teleoperation, policy training, real-world deployment, low-latency control systems, simulation, and scalable AI training pipelines. If you enjoy working with robots that move, learn, and interact with the physical world, this role is for you. Responsibilities Design and develop intelligent robotic systems powered by modern AI and machine learning techniques Build scalable training pipelines for embodied AI and robot learning applications Develop production-grade robotics software in Python and related frameworks Train and deploy learning-based robotic policies using reinforcement learning and imitation learning approaches Integrate AI models with physical robot actuators, camera systems, and sensor pipelines Implement robotics control algorithms, kinematics, dynamics, and sensor fusion systems Work with simulation and synthetic data generation environments including Isaac Sim, MuJoCo, Sapien, or similar platforms Optimize low-latency inference and control systems for real-world robotic deployment Collaborate across robotics, AI, systems, and hardware teams to bring intelligent robotic platforms into production Contribute to the architecture of next-generation embodied AI systems Requirements 5+ years of industry experience in robotics, embodied AI, physical AI, or autonomous systems Bachelor's degree in Computer Science, Artificial Intelligence or relevant field Strong Python programming skills with experience building scalable production systems Hands-on experience building, training, and deploying machine learning systems for robotics applications Deep familiarity with reinforcement learning, imitation learning, and modern ML frameworks such as PyTorch Strong understanding of robotics fundamentals, including: - robot control systems - kinematics and dynamics - perception and sensor fusion - camera and tactile sensor integration Experience with robotics middleware such as ROS or ROS2 Experience working with simulation environments such as NVIDIA Isaac Sim, MuJoCo, Sapien, or equivalent platforms Strong debugging and systems engineering skills across software and hardware boundaries Experience deploying robotics systems into real-world physical environments Preferred Qualifications Experience with humanoid robotics or manipulation systems Background in autonomous systems or embodied foundation models Experience with GPU acceleration and distributed training systems Familiarity with synthetic data generation and sim-to-real transfer techniques Experience optimizing robotics systems for edge or embedded deployment Benefits Why Join US Get hands-on with a real humanoid robot. Train it, test it, and iterate on real hardware, not just in simulation. Research dexterous manipulation, pushing the frontier of robotic hands and grasping for complex real-world tasks. Build Physical AI that deploys at scale, into real manufacturing environments running across many thousands of factory lines worldwide. Work on frontier Physical AI and robotics technologies that bridge advanced AI with real-world robotic behavior. Collaborate with a highly technical, fast-moving research/engineering team. Help shape a new robotics effort from its earliest stage. Samsung SDSA offers a competitive salary, and a comprehensive suite of programs to support our employees: Top-notch medical, dental, vision and prescription fully covered for You and Your family Wellness program Parental leave 401K match and savings plan Flexible spending accounts Life insurance Paid Holidays Paid Time off Additional perks The base salary range for this Mountain View, CA role is $200,000 to $270,000. Individual pay is determined by multiple factors, including job-related skills, experience, relevant training, and specific geographic location. Your recruiter can share more about the total compensation package-which may include performance bonuses, and comprehensive benefits-during the hiring process. Samsung SDS America, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, status as a protected veteran, marital status, genetic information, medical condition, or any other characteristic protected by law. We are committed to providing reasonable accommodations to participate in the job application or interview process for candidates with disabilities. If you need assistance and/or a reasonable accommodation, please send your request the recruiter.

Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD

Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD

Job Description Job Description Reports to: Head of Software & Controls Workplace Type: Hybrid (onsite in Santa Cruz 3 days/week) At Capstan Medical, we're building one of the most exciting and innovative companies in medtech-developing a first-of-its-kind robotic platform for minimally invasive heart valve treatment. Our team combines surgical robotics, catheter-based delivery, and next-generation implants to transform complex procedures into safer, lower-stress solutions for patients and clinicians alike. As a highly collaborative, hands-on team, we move fast, wear multiple hats, and believe the best ideas can come from anyone. Based in Santa Cruz, our unique workspace blends cutting-edge Bay Area innovation with a lifestyle-driven environment near trails, beaches, and open space-creating the perfect place to do meaningful, career-defining work. Overview: Join Us in Revolutionizing Cardiac Care from Beautiful Santa Cruz Imagine leading the verification and validation program for life-saving robotics technology while being minutes from world-class surf breaks and redwood forests. We're developing a groundbreaking robotic platform that gives surgeons superhuman precision in transcatheter valve deployment-and we need an exceptional V&V Lead to own the strategy that proves our systems meet the rigorous standards that patient safety demands. You'll be defining and driving verification and validation across our robotic surgical platform, working cross-functionally with systems engineering, software development, quality, and regulatory teams. This is a hands-on leadership role-you'll be writing protocols, executing tests at the bench, and building the V&V program that enables us to bring life-saving technology to patients. Leadership & Strategy Own the V&V strategy for the robotic surgical platform, defining the approach for software, system, and design validation activities Plan and manage V&V project timelines, resource allocation, and deliverables aligned with program milestones and regulatory submissions Establish and continuously improve V&V processes, templates, and infrastructure to scale with the organization Mentor and guide V&V engineers, fostering technical growth and maintaining high standards for verification evidence Cross-Functional Collaboration Partner with systems engineering to influence system requirements, ensuring they are verifiable, traceable, and properly decomposed from user needs Collaborate with regulatory affairs to shape submission strategy and ensure V&V deliverables meet FDA and notified body expectations Work with risk management to ensure verification activities adequately address risk controls and software safety classification per IEC 62304 and ISO 14971 Engage with clinical and human factors teams to plan and execute design validation activities including simulated use and clinical evaluations Represent V&V in design reviews, providing expert input on requirement clarity, testability, and verification approach Technical Execution Design and execute software verification test protocols demonstrating compliance with system and software requirements per IEC 62304 Personally execute test cases at the bench-we don't have a separate test execution team, and all engineers participate in running DV protocols Own requirements traceability matrices linking User Needs through system requirements, software requirements, and verification evidence Develop and execute test strategies spanning unit, integration, and system-level verification for real-time robotic control software Author and review test protocols and reports that withstand regulatory scrutiny from FDA and notified body reviewers Drive adoption of automated test frameworks that integrate with CI/CD pipelines while maintaining design control compliance Skills: Deep expertise in IEC 62304 software lifecycle processes, safety classification, and verification requirements Strong understanding of ISO 14971 and IEC 60601 risk management principles and how verification addresses risk controls Proven ability to develop V&V strategies and plans for complex medical device programs Experience managing V&V timelines, resources, and deliverables across multiple concurrent workstreams Proficiency in requirements management and traceability tools (e.g., Jama, DOORS, Polarion, or similar) Excellent technical writing skills-you can author and review audit-ready documentation Strong communication and influencing skills-you can drive alignment across engineering, quality, and regulatory stakeholders Understanding of the complete design control process from user needs through design transfer and post-market surveillance Preferred: Experience with robotic systems, motion control, or real-time embedded software testing Experience building or scaling V&V functions in a startup or growth-stage environment Experience with test automation frameworks and scripting (Python preferred) Experience with test fixtures, hardware-in-the-loop testing, or bench test development Knowledge of FDA 21 CFR 820, ISO 13485, and EU MDR requirements Track record of successful FDA 510(k), De Novo, or PMA submissions Exposure to usability engineering (IEC 62366) and design validation methodologies Requirements: BS in Computer Science, Software Engineering, Biomedical Engineering, or equivalent; MS preferred 5-10 years of experience in software V&V, test engineering, or software quality in the medical device industry Demonstrated leadership experience-formal or informal-in guiding V&V activities and mentoring engineers Comfortable being hands-on: you're energized by executing tests yourself, not just delegating Track record of delivering verification evidence packages for regulatory submissions Experience working cross-functionally to influence requirements, risk management, and design decisions Ability to work in a hybrid environment, onsite 3 days a week at our Santa Cruz, CA office. In the future, there will be an option to work one day from our satellite office in Los Altos, CA. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description About the Role Teserac is building neuron , a unified AI-native platform for data center observability, intelligence, and workflow automation. neuron processes real-time telemetry from thousands of sensors, meters, and control systems across heterogeneous environments - giving infrastructure owners the visibility to monitor, analyze, automate, and proactively manage power operations with full situational awareness. An embedded AI teammate serves as every operator's always-on co-pilot: detecting anomalies, correlating events, and surfacing recommendations 24/7. We are seeking an AI/ML Engineer who is excited to build intelligent systems at the intersection of applied AI and critical infrastructure. You will work across the full AI development lifecycle - from data pipelines and model integration to agentic orchestration, evaluation, and production support - collaborating closely with a small, fast-moving engineering team. This is not a research-only role, but research thinking matters here. You will be expected to read papers, stay ahead of the field, and bring ideas to the table - then build them into production systems. Who We Are Looking For We care more about how you think than how many years are on your resume. This role is open to both junior and senior candidates. What matters is: You are genuinely excited about AI and infrastructure - not just one of them You learn fast, go deep, and can hold your own in a technical debate You have the engineering fundamentals to ship reliable systems You are proactive, curious, and comfortable with a steep learning curve You want to work on something technically hard that actually matters in the physical world If you are early in your career but have strong fundamentals, a track record of self-directed learning, and a portfolio that shows you build things - we want to hear from you. What You Will Work On Multi-agent orchestration and LLM-driven triage workflows Time-series modeling for anomaly detection, failure prediction, and health forecasting on multivariate telemetry Retrieval-augmented knowledge systems for operations teams Data and ML pipelines - ingestion, ETL, and dataset construction Fine-tuning and post-training of language models for operational use cases AI observability, evaluation frameworks, and production performance benchmarking Responsibilities Design, develop, and maintain AI-powered applications and automation workflows Integrate and optimize LLM APIs for production use cases Build and refine retrieval and knowledge-augmentation pipelines Develop evaluation frameworks to benchmark AI system performance Implement monitoring, tracing, and debugging capabilities for AI systems Read and synthesize relevant research; bring ideas forward and debate them with the team Contribute to AI architecture decisions and production hardening Stay current with the rapidly evolving AI/ML landscape Requirements Required Degree in Computer Science, Machine Learning, Mathematics, or a related field - or equivalent demonstrated experience Strong proficiency in Python Solid software engineering fundamentals: testing, version control, CI/CD Experience working with LLM APIs in applied contexts Familiarity with agentic system concepts - tool/function-calling, agent frameworks Daily use of AI-assisted coding tools (Cursor, Copilot, Claude Code, etc.) Ability to read ML research papers and translate ideas into practical experiments Strong analytical thinking and clear communication - you can argue a position and update it when wrong Preferred Professional AI/ML engineering experience (any level) Experience building agentic systems using frameworks such as LangGraph or LangChain; MCP a plus Time-series modeling - forecasting and anomaly/failure prediction on multivariate data Experience fine-tuning or post-training language models PyTorch and/or model serving frameworks (e.g., vLLM) Experience building data and ML pipelines - ingestion, ETL, dataset construction Familiarity with cloud ML platforms, particularly GCP (Vertex AI) LLM evaluation and benchmarking: harness design and eval loop development Domain experience with data center or industrial telemetry, BMS/OT protocols (Niagara, BACnet/Modbus) Background in DevOps, distributed systems, or observability tooling Benefits Health Care Plan (Medical, Dental & Vision) Paid Time Off (Vacation, Sick & Public Holidays) Free Food & Snacks Stock Option Plan 401(k)

Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD

Job Description Job Description About Us At Agtonomy, we're not just building tech-we're transforming how vital industries get work done. Our Physical AI and fleet services turn heavy machinery into intelligent, autonomous systems that tackle the toughest challenges in agriculture, turf, and beyond. Partnering with industry-leading equipment manufacturers, we're creating a future where labor shortages, environmental strain, and inefficiencies are relics of the past. Our team is a tight-knit group of bold thinkers-engineers, innovators, and industry experts-who thrive on turning audacious ideas into reality. If you want to shape the future of industries that matter, this is your shot. About the Role We're looking for a skilled ML engineer to build the perception systems that give our autonomous machines human-like awareness in rugged, unstructured environments. You'll develop computer vision and machine learning systems that turns noisy camera and LiDAR data into robust 3D scene understanding - enabling heavy equipment to operate safely through dust, glare, occlusion, and whatever messy conditions a working site throws at it. The field is moving past bounding-box detection and hand-tuned tracking toward learned, dense scene representations, foundation-model-driven data engines, and uncertainty-aware perception. You'll be at the center of that shift. This role is hands-on: you'll write production-grade software, distill and optimize models for embedded hardware, and validate your work on real machines at operating around the world. What You'll Do Develop real-time perception models for open-world obstacle and terrain understanding. Build multi-modal fusion that combines camera and LiDAR into a unified 3D/BEV representation, robust to occlusions, sensor degradation, and GNSS outages. Optimize models for low-latency inference on resource-constrained hardware, balancing accuracy and performance. Design auto-labeling pipelines that leverage foundation models and teacher-student distillation to scale labeling and close the loop from real-world field interventions. Design data and evaluation pipelines that curate large multi-sensor datasets and surface failures fast, with strong visualization and debugging tooling. Analyze performance metrics and iterate on algorithms to improve accuracy and efficiency of various perception subsystems. What You'll Bring A MS/PhD in Computer Science, AI, or a related field, or 6+ years of industry experience building vision-based perception systems. Deep expertise developing and deploying modern perception models: detection, segmentation, mono/stereo/metric depth, BEV/occupancy, sensor fusion, and 3D scene understanding. Fluency adapting, fine-tuning, and distilling large pre-trained vision and vision-language models. Strong grounding in multi-sensor integration (camera, LiDAR, radar): calibration, spatiotemporal sync, and cross-modal fusion. Experience handling large datasets efficiently and organizing them for labeling, training and evaluation. Fluency in Python with PyTorch/TensorFlow/OpenCV and the ability to write efficient, production-ready code for real-time systems. Proven ability to design experiments, analyze metrics (mAP, IoU, latency/throughput, and calibration/ECE), and optimize to meet stringent real-world performance and safety requirements. An eagerness to get your hands dirty and agility in a fast-moving, collaborative, small team environment with lots of ownership. What Makes You a Strong Fit Experience architecting multi-sensor ML systems from scratch. Experience building auto-labeling / data-engine flywheels at scale. Experience with compute-constrained pipelines including optimizing models to balance the accuracy vs. performance tradeoff, leveraging TensorRT, model quantization, etc. Familiarity with emerging predictive world models for anticipation, anomaly detection, or closed-loop simulation, and adjacent policy paradigms such as Vision-Language-Action (VLA) and World-Action (WAM) models. Experience with compute-constrained deployment: TensorRT, model quantization, and custom CUDA operations. Publications at top-tier perception/robotics venues (CVPR, ICRA, CoRL, RSS, etc.). Passion for how we feed, build, move, and maintain the world. The US base salary range for this full-time position is $200,000 to $280,000 + equity + benefits + unlimited PTO The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, internal equity, and additional factors, including, but not limited to, job-related skills, experience, and relevant education or specialty training. Your recruiter can share more about the specific salary range during the hiring process. Benefits • 100% covered medical, dental, and vision for the employee (partner, children, or family is additional) • Commuter Benefits • Flexible Spending Account (FSA or HSA) • Life Insurance • Short- and Long-Term Disability • 401k Plan • Stock Options • Collaborative work environment working alongside passionate mission-driven team!

Job Description Job Description Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America's food supply by building the AI farmer that automates our nation's farms. We've raised over $25M in pursuit of our mission to help farmers farm more profitably and sustainably than ever before. What We Do: We start by collecting the most valuable data for farmers, telling them everything about what is growing on their millions of trees, across thousands of acres of farmland. We do this using advanced camera systems we build, that take pictures of every one of the billions of fruit in a farm. This data lives in our cloud data platform, FruitScope, that we've developed from the ground up to help farmers manage their crops with precision. Farmers across the nation use our industry-leading software to look at their data, make critical decisions, and command farming operations on a daily basis. Our technology is used today across some of the largest farms in the nation. The Role: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. We are looking for a Senior Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems, relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems. About the role: As an early engineer, you'll receive generous equity compensation Full-time role at our San Francisco, CA office Flexible working hours Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium We move fast, and sometimes this means staying late or working weekends Our team is close-knit & highly driven, you'll work directly with our CEO and entire team We're deeply motivated by the impact we're making - every line of code written or new system built means less food that goes to waste, and more people who are fed. What you'll do: Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms. Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems. Develop, deploy, and monitor infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices. Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance. Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems. Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features. Be a generalist, supporting different parts of our software stack as needed. What makes you a good fit: 5+ years of experience building production-grade data pipelines and ML infrastructure. Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch). Strong experience with data engineering tools (e.g., Pandas, SQL, Apache Airflow, Spark). Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Experience working with massive amounts of real-world training data. Familiarity with MLops software and data engineering to ensure consistent deployment of ML models. Ability to work independently, learn quickly, and operate in a dynamic environment Enthusiasm for taking on multiple roles and responsibilities as our company grows. Bonus Points: Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson Experience prototyping, evaluating, or deploying new ML/CV models on the edge. If you're looking to help make a positive impact in the world by building the future of farming, come join us! Compensation Range: $150K - $265K

Job Description Job Description About ALSO. We're ALSO, an electric mobility company originally conceived as a part of Rivian. We're a passionate team of builders, dreamers, doers and innovators, focused on creating entirely new (not to mention, innovative and delightful) vertically integrated, small EVs designed to meet the global mobility challenges of today and tomorrow. Our mission is to inspire everyone to ride ALSO-replacing many local car, truck and SUV miles with ones on vehicles that are more affordable, more enjoyable and 10-50x more efficient. The Role As a Sr. Validation & Tools Engineer focusing on web and cloud validation, you'll ensure quality across the entire ecosystem of our connected e-mobility platform from our customers' first touchpoint at purchase to the cloud systems that power the vehicles. You'll design and execute manual and automated tests for web applications, APIs, and cloud integrations, while also validating data telemetry and end-to-end connectivity. Working closely with developers, data, and product teams, you will build confidence in every release and drive automation and monitoring to speed up validation velocity. This is a highly cross-functional role and the right candidate must be able to move comfortably between web and IOT domains, and enjoy turning complex testing procedures into scalable frameworks and dashboards. Also they will have a level of independence and autonomy to drive initiatives & follow through on implementations. What You Will Do Develop and maintain manual and automated test suites covering the full user journey on Also's digital systems - from e-commerce purchase and account creation through cloud connectivity of the flagship product. Create automation frameworks to test web UI, APIs, and cloud integrations. Partner with web, cloud, and firmware teams to design and execute end-to-end system validation, confirming reliable data flow between bike, cloud, and user interfaces. Build and maintain dashboards and analytics to visualize vehicle telemetry and OTA update metrics. Collaborate with developers and product managers to identify, reproduce, triage, and resolve bugs quickly - contributing to root-cause analyses and continuous improvement. Contribute to a CI/CD testing pipeline, enabling fast feedback loops for web and cloud releases. Manage SIL and HIL test environments using Automation framework, driving a critical role in SW/HW integration with the cloud backend. Bring an ownership mindset to quality and define clear metrics and build automated reports to drive broad communication and system stability. What You Will Bring BS or MS in Computer Science or related field. 5+ years experience in software validation and hands-on programming, embedded software/firmware development, preferably with vertically integrated consumer products. Automotive systems is a plus. Experience testing web applications, APIs, and cloud-based systems, ideally using tools like Playwright, Cypress, Selenium, or Postman. Strong programming skills in Python or similar for automation and data validation. Familiarity with AWS or equivalent cloud ecosystem. Experience designing an end-to-end test that covers multiple systems and codebases. Exposure to data validation and IOT testing preferred - OTA stress tests, validating data upload, and downstream integrity. Excellent collaboration and communication skills - able to work across firmware, cloud, and web disciplines. Experience in CI/CD automation workflows (Jenkins or similar). Familiarity with UDS or XCP protocols. Expertise in various protocols and their physical layers (CAN, CAN-FD, USB-PD etc) Familiarity with real-time operating system platforms, ideally in functional-safety critical applications Familiarity with hardware/software architecture selection with cost and performance tradeoffs (OS, MCU, etc selection). Passion for and demonstrated proficiency in working with cross-functional hardware and software teams. The salary for this position ranges from $170,000 - $200,000 per year, depending on experience and qualifications. Perks & Benefits Robust health coverage - excellent health, dental, and vision insurance covered up to 100% by ALSO, with FSA & HSA options One Medical membership and dedicated insurance advocates Rich fertility and family-building benefits with Progyny Flexible time off 401(k) match Why ALSO. We're passionate about helping the world find a better way to get there-wherever it is you're headed. We're located in the heart of Silicon Valley and have brought together a world-class team from some of the biggest brands in the technology, automotive, cycling, outdoor recreation and retail spaces. Together we're working hands-on to imagine, design and build an entirely new solution to a global set of transportation challenges.

Job Description Job Description About ALSO. We're ALSO, an electric mobility company originally conceived as a part of Rivian. We're a passionate team of builders, dreamers, doers and innovators, focused on creating entirely new (not to mention, innovative and delightful) vertically integrated, small EVs designed to meet the global mobility challenges of today and tomorrow. Our mission is to inspire everyone to ride ALSO-replacing many local car, truck and SUV miles with ones on vehicles that are more affordable, more enjoyable and 10-50x more efficient. The Role As a Sr. Validation & Tools Engineer - Dev Tools you will partner cross-functionally with Software, Hardware, QA, Systems, and Product teams to design and implement developer productivity and engineering enablement tools. This role will require developing product-facing and internal engineering tools, including command line interfaces, automat What You Will Do Build and maintain internal tooling and infrastructure for report generation, test dashboards, traceability, quality metrics, and system observability. Integrate AI-assisted development workflows into daily engineering practice, including prompt design, evaluation, and optimization for code generation, test creation, triage, documentation, and developer support tools. Create scalable Python-based systems and automations using modern best practices, including static analysis, linting, unit testing, and maintainable software design. Troubleshoot and resolve software defects, performance bottlenecks, tooling gaps, and platform-specific issues across a range of operating systems, hardware targets, and development environments. Drive tooling solutions that improve collaboration and handoffs across teams, helping unify workflows between firmware, applications, mobile, cloud, and test engineering. Participate in peer code reviews and technical design discussions, providing thoughtful feedback and helping maintain a high bar for quality, reliability, and What You Will Bring BS or MS in Software Engineering, Computer Science, Electrical Engineering, or a related technical field. 5+ years of professional experience in software design and development of tools, automation, and infrastructure supporting quality engineering, CI/CD, and embedded software or firmware development. Strong professional proficiency in Python, with hands-on experience building internal tools, test frameworks, automation systems, and engineering productivity workflows. Experience applying AI-based code generation and developer tooling in practical engineering environments, including effective prompt engineering for day-to-day development, testing, debugging, and workflow automation. Hands-on experience with AI developer tools such as Claude Code, ChatGPT, or Gemini is a plus. Demonstrated ability to work across cross-functional teams and translate diverse stakeholder needs into useful, maintainable tooling. Proficiency with modern version control systems, especially Git. Familiarity with test automation and validation tools for vertically integrated products spanning embedded firmware, application software, mobile apps, and cloud backends (for example: Selenium, Appium, Espresso, Pytest, Vysor). Experience interfacing with hardware using protocols such as I2C, SPI, USB, and JTAG; familiarity with automotive systems and protocols such as CAN, CAN-FD, and UDS is a plus. Experience with modern Python tooling such as uv, ruff, ty, and pyright is a plus. A strong passion for building tooling that improves developer velocity, engineering quality, and cross-team collaboration. The salary for this position ranges from $140,000 to $175,000 per year , depending on experience and qualifications. Perks & Benefits Robust health coverage - excellent health, dental, and vision insurance covered up to 100% by ALSO, with FSA & HSA options One Medical membership and dedicated insurance advocates Rich fertility and family-building benefits with Progyny Flexible time off 401(k) match Why ALSO. We're passionate about helping the world find a better way to get there-wherever it is you're headed. We're located in the heart of Silicon Valley and have brought together a world-class team from some of the biggest brands in the technology, automotive, cycling, outdoor recreation and retail spaces. Together we're working hands-on to imagine, design and build an entirely new solution to a global set of transportation challenges.

Job Description Job Description Associate Computer Vision & Machine Learning for Autonomous Anti-Drone Systems Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup, founded by two ex-Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers. With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact. We're hiring across multiple experience levels, including: Associate CV/ML Engineer CV/ML Engineer Senior CV/ML Engineer Staff CV/ML Engineer Senior Staff CV/ML Engineer Your title and level will be determined based on your experience, skills, and the scope of responsibility appropriate for the role. What You'll Do: Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification. Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability. Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture. Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions. Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges. What You'll Need: Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career. At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision. 0-3+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics. A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications. Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar. Experience with embedded systems and integrating computer vision algorithms into hardware. Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems. You enjoy collaborating with other engineers to solve complex technical challenges. What We Offer: Competitive salary ACS Equity Package Health, Dental, Vision Insurance Paid Time Off Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Compensation Range: $94K - $154K

Job Description Job Description Senior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones. With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact. About The Role: We are looking for a Senior Level Computer Vision and Machine Learning Engineer to develop and optimize the CV/ML systems at the core of our autonomous gun turret, with a focus on real-time drone detection, tracking, and classification. You will work closely with electrical engineers to integrate vision systems into the turret's hardware architecture and contribute to hardening the prototype into a military-grade system. What You'll Do: Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification. Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability. Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture. Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions. Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges. What You'll Need: Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career. More than 7+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics. At least a Bachelors and/or Masters Degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision. A proven track record of senior-level experience developing and deploying computer vision systems, ideally in real-time or safety-critical applications. Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar. Experience with embedded systems and integrating computer vision algorithms into hardware. Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems. You enjoy collaborating with other engineers to solve complex technical challenges. What We Offer: Competitive salary ACS Equity Package Health, Dental, Vision Insurance Paid Time Off Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Compensation Range: $163K - $261K

Job Description Job Description COME JOIN MID-CONTINENT! "Where your work is valued-above-market pay, real work-life balance, and a team that feels like home." THE POSITION As a Software Engineer, you will design avionics, power electronics, and battery systems with an emphasis on AHRS and INS products using the latest advances in sensor technologies. You'll create unique intellectual property to address the growing demand for software-defined behavior. You can expect a variety of opportunities ranging from products for cockpit displays, instruments and navigational references based on local and remote sensor inputs. Additional products include data conversion and storage, lithium battery management, AC and DC power conversion, and in-seat power solutions. THIS POSITION MAY BE FOR YOU IF You have a bachelor's degree in computer engineering or related field. You have a minimum of 10 years of experience designing embedded software in the U.S. You have a minimum of 5 years of experience as principal designer for AHRS and INS solutions. You have a minimum of 5 years of experience characterizing and calibrating inertial sensor devices. You have the ability to work directly with target hardware, including lab bench equipment, other tools for debugging and analysis. You have proficiency programming in C. You are proficient with Microsoft Office. You have strong attention to detail. You are organized, focused, and results oriented. You are a problem-solver with critical thinking and prioritizing skills. You have excellent verbal, written and interpersonal communication skills. WE WOULD REALLY LIKE IT IF (but it's not a deal breaker) You have experience with C#, C++, or Python languages for PC application software. You have experience with VHDL. You have experience designing safety-critical software, utilizing RTCA DO-178, DO-254 or similar processes. You have experience designing or troubleshooting PCB system hardware. You have experience with Design for Manufacture and Design for Test (DFM & DFT). WHAT YOU CAN EXPECT FROM ONE DAY TO THE NEXT Design and implement embedded C software for bare-metal microcontroller-based systems with an option for VHDL firmware for FPGA-based systems Architect and implement ARHS and INS products utilizing MEMS, FOG or other commercially available technologies Design tools to support manufacturing, calibration and verification of safety-critical products Build and troubleshoot hardware, including basic soldering, operation of test equipment, and daily work in both office and test lab environments Prototype and execute test programs to verify compliance with applicable performance, regulatory, and quality requirements WE ARE ONE OF THE BEST PLACES TO WORK We provide competitive pay and a comprehensive benefits package. We promote an environment where you can excel in your career while maintaining a healthy work-life balance. Our facility is climate controlled, clean, organized, and safe. We operate in a professional, light manufacturing environment. We believe anything worth doing is worth doing right - every time. We have frequent events to keep work interesting. Our food drive is super impressive, we have an annual food truck fest appreciation day, monthly fruit/donut day, employee luncheons throughout the year, wellness challenges with incentives and frequent ticket raffles for local sporting and cultural events. We have a small company feel - even though we're doing big things! WHO WE ARE Founded in 1964, Mid-Continent Instruments and Avionicsprovides superior instruments, avionics and power solutions to the global aerospace community. We operate one of the largest maintenance, overhaul and exchange programs in the world, and deliver safe and certified products, using innovative technologies and sophisticated clean sheet designs. At Mid-Continent Instruments and Avionics, we are committed to quality, service, integrity, and professionalism. Our employees serve the best customers from all over the world in general, business and commercial, advanced air mobility, defense and special missions markets. In this role, you'll be an important part of the reason our customers consider us a premier instrument, avionics, and aircraft power solutions provider. This job description is intended to describe the general nature and level of work performed and is not intended to be an exhaustive list of all responsibilities, duties and skills required. Actual compensation offered within the targeted salary range will be determined by factors such as job-related knowledge, skills, and experience. Compensation details: 00 Yearly Salary PIdeac237b2fa0-2776

Job Description Job Description COME JOIN MID-CONTINENT! "Where your work is valued-above-market pay, real work-life balance, and a team that feels like home." THE POSITION As a Software Certification Engineer, you will provide engineering and technical support in the evaluation and testing of existing and emerging technologies, systems, and capabilities. You will plan and implement the RTCA DO-178C and DO-254 lifecycle processes for avionics, power electronics, and battery systems. You'll verify complex microcontroller and FPGA designs to achieve coverage of functional and structural aspects. Product areas include cockpit displays and instruments, local and remote sensing, data conversion and storage, lithium battery management, AC/DC and DC/DC power conversion up to 8000W, in-seat power solutions, and various other components needed in aircraft systems. To be successful in this role, you'll need to provide expert analysis to meet the highest level of safety and reliability, implementing safety-critical software design processes. THIS POSITION MAY BE FOR YOU IF You have a bachelor's degree in computer engineering or related field You have a minimum of one year of experience with RTCA DO-178C or similar safety-critical software design process. You are proficient in C programming. You have the ability to work directly with target hardware, including lab bench equipment and other tools for debugging and analysis. You are proficient with Microsoft Office. You have strong attention to detail. You are organized, focused and results oriented. You are a problem-solver with critical thinking and prioritizing skills. You have excellent verbal, written and interpersonal communication skills. WE WOULD REALLY LIKE IT IF (but it's not a deal breaker) You have experience with C#, or Python languages for a PC application software. You have familiarity with VHDL and RTCA DO-254. You have familiarity with formal coding standards and safety-critical design considerations. WHAT YOU CAN EXPECT FROM ONE DAY TO THE NEXT Create and review design data within the software qualification lifecycle process. Practice safety-critical methods, create plans, requirements, design standards, coding standards, change tracking and verification, formal and functional verification Test and troubleshoot prototype and certified code on target hardware. Includes working in a lab bench environment with the necessary test equipment Design embedded software for microcontroller-based systems, as well as PC-based applications for verification and manufacturing Support software design using current tools, design environments and documentation methods Prototype and execute test programs to verify compliance with applicable performance, regulatory, and quality requirements WE ARE ONE OF THE BEST PLACES TO WORK We provide competitive pay and a comprehensive benefits package. We promote an environment where you can excel in your career while maintaining a healthy work-life balance. Our facility is climate controlled, clean, organized, and safe. We operate in a professional, light manufacturing environment. We believe anything worth doing is worth doing right - every time. We have frequent events to keep work interesting. Our food drive is super impressive, we enjoy an annual food truck fest appreciation day, monthly fruit/donut day, employee luncheons throughout the year, wellness challenges with incentives, and frequent ticket raffles for local sporting and cultural events. We have a small company feel - even though we're doing big things! WHO WE ARE Founded in 1964, Mid-Continent Instruments and Avionicsprovides superior instruments, avionics and power solutions to the global aerospace community. We operate one of the largest maintenance, overhaul and exchange programs in the world, and deliver safe and certified products, using innovative technologies and sophisticated clean sheet designs. At Mid-Continent Instruments and Avionics, we are committed to quality, service, integrity, and professionalism. Our employees serve the best customers from all over the world in general, business and commercial, advanced air mobility, defense and special missions markets. In this role, you'll be an important part of the reason our customers consider us a premier instrument, avionics, and aircraft power solutions provider. This job description is intended to describe the general nature and level of work performed and is not intended to be an exhaustive list of all responsibilities, duties and skills required. Actual compensation offered within the targeted salary range will be determined by factors such as job-related knowledge, skills, and experience. Compensation details: 00 Yearly Salary PI5-

Overview: SimVentions is 100% employee-owned and proudly ranked among Virginia's Best Places to Work year after year! We are seeking a Computer Engineer to join our team. This individual shall evaluate, analyze, and develop systems, which include hardware, software, and interconnecting infrastructure to support or enhance the execution of operational tasks. This shall include: Computer Engineering: In-house full lifecycle design, development, and testing of microelectronics and custom embedded systems. Emphasis on bare-metal C/C++ coding for microcontrollers. Rapid development cycles requiring adaptability and balancing aggressive schedules with technical rigor. Travel: Not expected Clearance: An ACTIVE Secret Clearance is required for this position with elegibility to achieve a Top Secret with Sensitive Compartmented Information (TS/SCI). Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: Hardware/Embedded Experience: Experience with embedded hardware product lifecycle (design, test, integration). Proficiency with schematic capture and PCB layout software (e.g., Altium). Experienced in writing embedded firmware for microprocessors. Desired Technical Skills: Containerization experience (Docker, Kubernetes, etc.). Responsibilities: Design & Analysis: Translate high-level requirements into integrated engineering designs. Conduct trade-off analyses (risk/cost/benefit) for technical decisions (e.g., microprocessor selection). Design/integrate custom electrical circuits and robust mechanical packaging. Software & Firmware Development: Required: Develop C/C++ bare-metal firmware using test-driven development. Manage all code using GitLab for configuration management. Desired: Develop full-stack applications (SQL, C++ services, React/Next.js). Testing & Documentation: Conduct developmental testing and evaluation of solutions. Adhere to program configuration management and documentation standards. Preferred Skills and Experience: Soft Skills: Strong independent work ethic, effective cross-functional communication (written/verbal), detail-oriented, proactive problem-solving, and adaptability to fluctuating workloads. Work Environment: Primarily office/lab setting with minimal travel required ( Education: Bachelor's degree in Computer Engineering or a related field (Master's preferred) Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $79,000.00-$135,000.000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short- & long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership: Work with the best and help build YOUR company! Family focus: Work for a team that recognizes the importance of family time. Culture: Add to our culture of technical excellence and collaboration. Dress code: Business casual, we like to be comfortable while we work. Resources: Excellent facilities, tools, and training opportunities to grow in your field. Open communication: Work in an environment where your voice matters. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food: We have a lot of food around here! MWAC -