Blue River Technology

• Own strategy, roadmap, and outcomes for one or more Platform offerings or cross-cutting capabilities • Build tight feedback loops with program teams and engineers to understand real constraints in the field • Translate problems into crisp requirements, success metrics, and prioritized backlogs; make explicit tradeoffs across speed, reuse, reliability, and customization • Partner with engineering and design to ship iteratively—APIs, tooling, workflows, and user experiences that teams adopt and keep using • Drive onboarding, documentation, enablement, and rollout plans; measure adoption and unblock teams during integration • Set the bar for production readiness (reliability, observability, supportability, and backward compatibility) • Coordinate dependencies across Platform and program teams; reduce duplication and converge on shared building blocks where it matters • Define and track product metrics and use them to drive priorities and investment decisions • Keep stakeholders aligned through clear narratives, status updates, decisions, and risk assessments, especially when priorities conflict or timelines shift.

• Own top-of-funnel sourcing for highly specialized technical roles across software engineering, AI/ML, computer vision, robotics, infrastructure, platform engineering, product management (PM), and hardware. • Build and execute multi-channel sourcing strategies using platforms such as LinkedIn Recruiter, GitHub, academic networks, and technical communities. • Develop targeted sourcing campaigns aligned to specific roles, teams, and talent segments. • Continuously refine sourcing strategies based on performance data and market insights. • Conduct in-depth talent mapping and research to identify high-quality candidates and talent pools. • Build and maintain structured pipelines of passive candidates for current and future hiring needs. • Stay current on technical talent landscapes, competitor hiring trends, and emerging talent sources. • Provide market insights to recruiters and hiring managers to inform hiring strategy. • Craft personalized, high-quality outreach that resonates with passive candidates. • Effectively communicate Blue River’s mission, work, and value proposition to technical talent. • Engage candidates in meaningful conversations to assess interest, motivation, and alignment. • Build long-term relationships with high-potential candidates. • Conduct initial candidate conversations to assess technical background, experience, and interest. • Evaluate candidate alignment against role requirements and hiring team expectations. • Partner closely with Technical Recruiters to ensure strong handoffs and clear candidate context. • Maintain accurate and up-to-date candidate records in Greenhouse. • Track sourcing activity and pipeline health, including outreach volume, response rates, and conversions. • Maintain clean, consistent data to support reporting and pipeline visibility. • Create, maintain, and continuously improve recruiting playbooks, templates, and process workflows to ensure consistent execution and scalable team operations. • Identify gaps in pipeline generation and proactively adjust sourcing approaches.

• Own end-to-end recruiting for highly specialized technical roles across software engineering, AI/ML, computer vision, robotics, infrastructure, and hardware. • Drive the hiring process from intake through offer close, ensuring speed, quality, and consistency at every stage. • Build and manage pipelines through a combination of sourcing, partnership with Technical Sourcers, and inbound candidate management. • Create, maintain, and continuously improve recruiting playbooks, templates, and process workflows to ensure consistent execution and scalable team operations. • Partner deeply with hiring managers to define role requirements, success profiles, and evaluation criteria. • Align early on candidate quality and continuously calibrate throughout the hiring process. • Provide guidance on hiring strategy, tradeoffs, and market dynamics. • Conduct high-quality recruiter screens to assess technical background, motivations, and alignment. • Run structured, transparent, and efficient interview processes with a strong focus on signal quality. • Ensure candidates are well-prepared and have a clear understanding of the role and process. • Deliver a thoughtful, responsive, and high-quality candidate experience from first interaction through offer. • Act as the primary point of contact for candidates, building trust and maintaining momentum throughout the process. • Identify and address friction points to continuously improve the candidate journey. • Own offer strategy, including candidate positioning, compensation alignment, and closing approach. • Navigate complex candidate situations and objections to successfully close top talent. • Partner with hiring managers and leadership to drive strong acceptance outcomes. • Monitor pipeline health and identify gaps or bottlenecks across roles. • Use data to track performance and improve conversion across stages. • Identify systemic gaps in the hiring funnel and drive improvements to increase conversion, efficiency, and candidate quality. • Partner with Technical Sourcers and Recruiting Coordinators to improve end-to-end hiring performance. • Contribute to recruiting best practices, workflows, and initiatives that scale team impact.

• Own the entire data, perception ML, and analytics stack, from raw sensor ingest to optimized edge inference and fleet-level performance visibility. • Lead a small perception team while remaining deeply hands-on. • Be accountable for how data is collected, curated, trained, deployed, measured, and improved in production. • Drive technical excellence ensuring models thrive on-vehicle in unpredictable off-road environments. • Champion a 'hardware-first' mindset for real-time inference and resource efficiency on NVIDIA hardware. • Maintain rigorous code quality and system design standards through mentorship and hands-on reviews. • Shift focus from 'model chasing' to 'data curation,' building active learning loops that turn field failures into training successes. • Bridge the gap between offline validation and real-world autonomy outcomes; ensure the team optimizes for vehicle performance, not just loss functions. • Provide high-signal leadership translating complex ML trade-offs into actionable insights for leadership and cross-functional partners. • Collaborate with Data Engineering and Field Ops to ensure fleet analytics dashboard remains the 'source of truth' for autonomy readiness.

• Carry out system- and feature-related hardware, software, and machine vision field tests of mechatronic farm machinery. Provide detailed documentation of testing execution and results • Provide in-field engineering support of ML data collection and field tests, including troubleshooting, diagnosing, resolving and documenting all relevant aspects • Document customers’ observations, comments, and concerns regarding John Deere and Blue River Technology products and equipment and share with Product Management, Agronomy and Engineering partners • Perform hands-on set-up, maintenance, testing and customization in the field per engineering test requirements • Suggest design alternatives and support development of new features and tools based on early product testing experiences and observations • Support Product and Engineering in creating product documentation, instructions and guides • Collaborate with host cooperators to integrate test and ML data collection machines into productive work, and manage appropriate contracts and agreements as required • Support Field management with training, supervision and quality control of seasonal field personnel, testing and data collection activities • Transport and operate equipment for field test and ML data collection-related equipment as needed

Summary We’re Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers – farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff – pixel-by-pixel and task-by-task - leads to big gains. Blue River Technology is based in Santa Clara, CA. Job Responsibilities - Develop simulation infrastructure in support of digital-twin simulation efforts, enabling testing and fast debug cycles. - Define job site mapping workflow and develop tools to map job sites - Work with related engineering teams to shape tool development for production or raw or semi-raw sensor inputs appropriate for simulation use cases - Support and contribute to the development of C++ and Python robotics software. - Design and support tools to visualize camera geometry, fields of view, and overlaps within multi-camera systems. Requirements - Bachelor’s degree in a STEM discipline plus 5 years of related experience. - Required skills: - Develop camera visibility models incorporating camera intrinsics, distortion correction, extrinsics, and mechanical tolerances using Blender and OpenCV (4 yrs). - Design and deploy distributed simulation systems using AWS cloud-based web services to enable scalable digital-twin environments with remote sensor data ingestion and real-time visualization (any amount of experience). - Define and extend onboard and machine-to-machine communications using MQTT and DDS middleware and Protobuf and OMGIDL message schemas for publish-subscribe and request-reply communication models (1 yr, 6 mos). - Develop real-time simulation tools utilizing ray tracing-based software to drive perception inputs (1 yr). - Create and maintain relevant Bazel build targets to support scalable, reproducible, and efficient builds for multiple compute architectures across complex codebases (1 yr) - 100% remote working allowed; can live anywhere in the US; periodic visits to the office required. Up to 10% domestic travel required for engineering testing. The US annual base salary range for this position is $187,762 - $228,000, along with eligibility for Blue River’s bonus and benefit programs. Please visit https://bluerivertechnology.com/join-us/ to apply. #LI-DNI

• Field data collection activities for projects when and where needed, including scheduling and planning site visits with growers, farm cooperators and others • Provide in-field engineering support, including data collection, field testing, troubleshooting, diagnosing, resolving, and documenting all aspects of the products • Provide an interface for product development teams including Product Management and Engineering to understand the evolving needs of customers • Perform hands-on set-up, maintenance, testing and customization in the field per engineering test requirements • Track and manage recurring issues, from problem identification to resolution • Transport and operate field equipment as needed

We’re Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers – farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff – pixel-by-pixel and task-by-task - leads to big gains. Blue River Technology aligns with John Deere’s vision to “innovate on behalf of humanity” by quickly identifying and solving high-value, high-uncertainty challenges in AI, machine learning, computer vision, and robotics. BRT acts as a research-and-development flywheel, building not only new products but also new platforms that reliably create value for both Deere and its customers. From fully autonomous machines to highly precise farming equipment, BRT and Deere are partnering to create technical breakthroughs across industries such as agriculture and construction. Summary The traditional approach to farming, “broadcast spraying,” treats an entire field to solve a problem that exists only in pockets. By identifying weeds in real-time and treating only what is necessary, our See & Spray technology reduces herbicide use by up to 67%, keeping millions of gallons of chemicals out of our ecosystem. However, a solution only changes the world if it reaches the whole world. Your mission as Director of Software Engineering is twofold: drive additional value for our customers and scale the reach of our technology. You will lead the transition from a specialized high-tech feature to a global standard, ensuring our software architecture can support tens of thousands of machines operating simultaneously across diverse crops, continents, and climates. - Employment Type: Full-Time - Work Location: Remote in the United States. Expect to be onsite in Santa Clara, CA, 1-2x per quarter. - Visa sponsorship is possible and will be reviewed on a candidate-by-candidate basis. Job Responsibilities The main job responsibilities include: - Architectural Ownership: Ensure our software architecture scales to enhance maintainability and developer velocity. You will ensure the codebase is modular, intuitive, and effective for hundreds of engineers to contribute to simultaneously. - Virtualization & Simulation: Drastically reduce the cost and cycle time of on-machine testing. You will champion robust simulation environments and Hardware/Software-in-the-loop (HIL and SIL) testing to ensure code is field-ready before it ever touches a sprayer. - Strategic Product Partnership: Work hand-in-hand with Product Management to deliver high-impact customer value while maintaining a healthy balance of engineering excellence. You will navigate the trade-offs between rapid feature delivery and long-term architectural health. - Team Leadership & Growth: Recruit, mentor, and scale a world-class software engineering organization. You aren't just managing tasks; you are building a culture of empowerment, technical curiosity, and continuous improvement. Required Experience and Skills - Technical Leadership - Systems Thinking: 12+ years in software engineering, with at least 5 years of experience in technical team management and a proven track record of managing large-scale, complex distributed systems (ideally involving hardware/robotics). - Developer Experience: A passion for building software that engineers love to work on. You understand how to pay down technical debt strategically. - Validation Expertise: Experience building sophisticated simulation environments to reduce reliance on physical prototyping. - The Stack: Deep familiarity with C, C++, Python, Linux-based computing, CAN & Ethernet-based networks, as well as GPU, CPU and AI/ML architecture fundamentals and low-level performance optimizations. - Communication & Influence - The "Technical Translator": You can distill complex architectural challenges (such as latency, technical debt, or sensor fusion) into clear, actionable narratives for non-technical stakeholders and executive leadership. - Radical Candor: You provide direct, empathetic feedback to your team and aren't afraid to "disagree and commit" or challenge the status quo to protect engineering integrity. - Cross-Functional Diplomacy: You excel at building bridges among hardware, software, and operational teams, ensuring everyone speaks the same language for the See & Spray mission. - Public Advocacy: You can represent See & Spray’s technical vision at conferences, recruiting events, and internal town halls with a compelling, authentic voice. - Operational Excellence - The "Multiplier" Effect: You have a history of scaling products while increasing (not decreasing) delivery speed. - Mission-Driven: A drive to use your technical expertise to drive positive environmental impact through large-Ag systems. Preferred Experience and Skills - Experience developing on ARM-based NVIDIA platforms. - Proven experience managing geographically distributed teams. - Startup experience. Only individual applicants will be considered. We do not work with unsolicited third-party agencies or proxy interview services. At Blue River, we’re passionate about creating an inclusive workplace that promotes and values diversity. While we have more work to do to advance diversity and inclusion, we’re investing in our programs, including recruiting, mentorship, career development, and learning & development to ensure they support our Diversity, Equity, and Inclusion goals. We support each employee in living a full life, enabling a thriving career, and accomplishing a meaningful, challenging mission while collaborating with incredible people. We are dedicated to building a diverse and inclusive workplace, so if you’re excited about this role but your experience doesn’t align completely with the job description, we encourage you to apply anyway. We are an equal-opportunity employer and do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation. The US annual base salary range for this position is $200,000 - $352,000, along with eligibility for Blue River’s bonus and benefit programs. This is a salary range. Please note that our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process. During the recruitment process, we may identify an alternative role or level to which you are more suited. If your ideal role at Blue River differs from the advertised position, we will provide an updated pay range as soon as possible during the hiring process. #LI-AN1

• Design, build, and evolve platform capabilities that support ML training, batch inference, and model deployment workflows at scale. • Own and improve core platform components (e.g., compute orchestration, data pipelines, inference systems) used by multiple teams across Blue River and John Deere. • Continuously enhance platform reliability, scalability, and performance, with a focus on real-world ML workloads. • Enable ML engineers to move faster by building intuitive, well-documented platform tools and workflows across the model lifecycle (experimentation, deployment, and iteration). • Improve model inference performance and throughput while balancing trade-offs among cost, latency, and reliability. • Support and scale distributed training and inference systems, including frameworks such as Ray and related tooling. • Develop and optimize hybrid compute environments (cloud + on-prem/GPU infrastructure) to support large-scale ML workloads. • Build and maintain infrastructure leveraging Kubernetes, Slurm, and cloud platforms (AWS preferred). • Identify and resolve bottlenecks in compute, storage, and data movement pipelines. • Evaluate existing platform systems and make thoughtful decisions on when to extend, refactor, or rebuild components. • Drive improvements in system architecture, balancing short-term delivery with long-term platform health. • Contribute to shaping the platform roadmap and technical direction in response to evolving business and ML needs. • Partner closely with ML engineers, robotics teams, infrastructure teams, and product stakeholders to translate requirements into scalable platform solutions. • Act as a technical bridge between teams, ensuring platform capabilities align with real-world use cases and constraints. • Influence platform adoption and best practices across multiple teams. • Support platform capabilities that enable simulation-based testing and validation of ML systems, including synthetic data workflows. • Improve tooling that allows teams to test and validate models before production deployment. • Provide technical guidance and mentorship to junior engineers on platform and systems design. • Lead implementation efforts for key platform initiatives and ensure high-quality execution. • Demonstrate strong ownership and accountability for delivering impactful platform improvements.

We’re Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers – farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff – pixel-by-pixel and task-by-task - leads to big gains. Blue River Technology aligns with John Deere’s vision to “innovate on behalf of humanity” by quickly identifying and solving high-value, high-uncertainty challenges in AI, machine learning, computer vision, and robotics. BRT acts as a research and development flywheel, building not only new products but also new platforms that reliably create value for both Deere and its customers. From fully autonomous machines to highly precise farming equipment, BRT and Deere are partnering to create technical breakthroughs in industries like agriculture and construction. Summary We are seeking a Senior CVML Platform Engineer to help design, build, and evolve the platforms that support computer vision and ML workloads at scale. This role focuses on enabling ML teams through well-designed infrastructure, tooling, and workflows, rather than developing models or conducting ML research. The ideal candidate brings strong technical judgment, is comfortable navigating existing and evolving platforms, and can incrementally improve systems while maintaining reliability. We strongly prefer engineers with a DevOps or platform engineering background who have moved into ML-adjacent systems and are motivated by building durable foundations that other teams rely on. This role requires both hands-on engineering and the ability to influence platform direction through collaboration and thoughtful design. - Employment Type: Full-Time - Work Location: Remote in the United States - Visa sponsorship will be considered on a case-by-case basis. Job Responsibilities A combination, not necessarily all-inclusive, of the following: - Platform Development & Ownership - Design, build, and evolve platform capabilities that support ML training, batch inference, and model deployment workflows at scale. - Own and improve core platform components (e.g., compute orchestration, data pipelines, inference systems) used by multiple teams across Blue River and John Deere. - Continuously enhance platform reliability, scalability, and performance, with a focus on real-world ML workloads. - ML Systems Enablement - Enable ML engineers to move faster by building intuitive, well-documented platform tools and workflows across the model lifecycle (experimentation, deployment, and iteration). - Improve model inference performance and throughput while balancing trade-offs among cost, latency, and reliability. - Support and scale distributed training and inference systems, including frameworks such as Ray and related tooling. - Infrastructure & Compute Systems - Develop and optimize hybrid compute environments (cloud + on-prem/GPU infrastructure) to support large-scale ML workloads. - Build and maintain infrastructure leveraging Kubernetes, Slurm, and cloud platforms (AWS preferred). - Identify and resolve bottlenecks in compute, storage, and data movement pipelines. - System Evolution & Technical Judgment - Evaluate existing platform systems and make thoughtful decisions on when to extend, refactor, or rebuild components. - Drive improvements in system architecture, balancing short-term delivery with long-term platform health. - Contribute to shaping the platform roadmap and technical direction in response to evolving business and ML needs. - Cross-Functional Collaboration - Partner closely with ML engineers, robotics teams, infrastructure teams, and product stakeholders to translate requirements into scalable platform solutions. - Act as a technical bridge between teams, ensuring platform capabilities align with real-world use cases and constraints. - Influence platform adoption and best practices across multiple teams. - Testing, Simulation & Validation - Support platform capabilities that enable simulation-based testing and validation of ML systems, including synthetic data workflows. - Improve tooling that allows teams to test and validate models before production deployment. - Technical Leadership - Provide technical guidance and mentorship to junior engineers on platform and systems design. - Lead implementation efforts for key platform initiatives and ensure high-quality execution. - Demonstrate strong ownership and accountability for delivering impactful platform improvements. Required Experience and Skills - 5+ years of professional engineering experience, with a focus on platform, infrastructure, or systems engineering. - Strong technical judgment, balancing the evolution of legacy platforms with the design and delivery of new, greenfield components shared across multiple teams and workloads. - Excellent Python skills, used in production systems, tooling, and platform components. - Solid understanding of ML systems and the end-to-end model development lifecycle, from experimentation to deployment and iteration. - Hands-on experience or strong familiarity with cloud platforms (AWS preferred) and container orchestration systems such as Kubernetes and Slurm. - Ability to partner effectively with ML engineers, infra teams, and product stakeholders to translate requirements into platform capabilities. - Ability to quickly ramp up on new domains, tools, and complex existing systems. Preferred Experience and Skills - Golang experience, particularly for platform or infrastructure components. - Experience building or integrating ML pipelines using tools such as Kubeflow and/or Airflow. - Understanding of model inference architectures, including performance, scalability, reliability, and cost considerations. - Experience enabling distributed training and inference through platforms and frameworks such as Ray. - Experience supporting ML systems in computer vision or robotics environments. Only individual applicants will be considered. We do not work with unsolicited third-party agencies or proxy interview services. At Blue River, we’re passionate about creating an inclusive workplace that promotes and values diversity. While we have more work to do to advance diversity and inclusion, we’re investing in our programs, including recruiting, mentorship, career development, and learning & development to ensure they support our Diversity, Equity, and Inclusion goals. We support each employee in living a full life, enabling a thriving career, and accomplishing a meaningful, challenging mission while collaborating with incredible people. We are dedicated to building a diverse and inclusive workplace, so if you’re excited about this role but your experience doesn’t align completely with the job description, we encourage you to apply anyway. We are an equal-opportunity employer and do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation. The US annual base salary range for this position is $160,000 - $287,000, along with eligibility for Blue River’s bonus and benefit programs. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process. During the recruitment process, we may identify an alternative role or level to which you are more suited. If your ideal role at Blue River differs from the advertised position, we will provide an updated pay range as soon as possible during the hiring process. #LI-AN1