Pay at Pickle
At Pickle Robot Company, we believe transparency builds trust. The salary range listed here is provided in accordance with Massachusetts law and reflects what we reasonably and in good faith expect to offer for this role. We often consider candidates at different levels of seniority, and final compensation will reflect the level at which a candidate is hired, along with factors like experience and location.
About Pickle Robot
Want to get in on the ground floor of a fast-growing, VC-backed robotics company? Join Pickle Robot! We build systems that companies and their teams love.
Pickle robots unload trucks. Every day, millions of trucks and containers are loaded and unloaded, often requiring manual labor—tough, dirty, dangerous, and hard to staff. Pickle automates this process using AI, machine learning, and robotics to deliver reliable products. Our Unload Systems work with teams on loading docks to make the job safer, faster, and more efficient.
Pickle provides best-in-class benefits including health, dental, & vision insurance; unlimited vacation, along with all federal and state holidays; 401K contributions of 5% your salary, travel supplies, and other items to make your working life more fun, comfortable, and productive.
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Own the technical vision and architecture of Pickle's motion planning and controls stack for manipulation, navigation, and safety-critical control of the unload robot
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Take on the hardest algorithmic problems in planning and control — sample-based planning (e.g., RRT), path and trajectory optimization, numerical/nonlinear optimization, and contact-aware control — and turn research prototypes into production systems
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Set engineering standards and technical strategy across the robotics organization, driving high-stakes technical decisions that unblock major customers and multi-year roadmaps
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Act as a force multiplier through deep technical mentorship — raising the bar for the whole team, reviewing designs, and guiding engineers on the toughest problems without direct people management
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Define and maintain the architecture, interfaces, and system documentation for the full planning and controls stack so the team can move faster and scale
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Analyze field failure cases and partner across engineering, test, and on-site deployment teams to design robust autonomous recovery that measurably improves reliability
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Establish regression tests, benchmarks, and success metrics that keep regressions away from customers and focus the team on the highest-impact work
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Write production-grade Python and C++ for real-time, safety-critical robotics, personally shipping the highest-leverage and highest-risk components
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8+ years building robotics software, with a sustained record of designing and shipping complex systems as a senior individual contributor; deep graduate robotics/controls research experience counts toward this
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Expert-level, hands-on experience developing motion planning and control for real-world robots — manipulation, navigation, or locomotion — in safety-critical, real-time production systems
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Exceptional technical communication; able to set org-wide technical strategy, write clear architecture and design docs, and influence engineering, product, and executive stakeholders without formal authority. Professional fluency in English
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Mastery of motion planning and controls: sample-based planning (e.g., RRT), path and trajectory optimization, numerical/nonlinear optimization, optimal and contact-aware control; expert-level Python and C++
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None required. A strong foundation in robotics, controls, computer science, mechanical engineering, or a related quantitative field is expected
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ROS/ROS2, Python and C++ toolchains, Git, Linux, and numerical optimization libraries; experience architecting testing/CI and benchmarking for robotics
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Deep technical ownership, sound judgment on high-stakes tradeoffs, a force-multiplier mindset, strong failure-analysis instincts, and a collaborative, low-ego approach
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Hybrid — Boston, MA area, with regular on-site work and occasional travel to customer deployment sites
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Full-time, with occasional schedule flexibility to support on-site deployments, demos, and testing