Mechanical Engineer Jobs at Chewy with Visa Sponsorship
Chewy hires Mechanical Engineers to support its fulfillment center infrastructure, automation systems, and proprietary hardware development. The company has an established sponsorship track record for engineering roles, with experience across multiple visa categories, making it a realistic target for internationally qualified candidates.
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Our Opportunity: Machine learning platform insights are fundamental to the Chewy customer experience, and the Discovery team’s staff of machine learning experts is the driving force behind those insights in search and recommendations. The team is looking for a Staff Software Engineer to join the team as a senior technical leader to drive scalable, reliable, and high-impact software systems. As a Staff SWE, you will provide hands-on technical leadership across multiple initiatives: designing, building, and optimizing ML-driven distributed systems that power search, recommendations, and personalization on the Chewy website. You’ll collaborate closely with product engineering, machine learning, and data science teams to bring intelligence and automation into our marketing technology stack. This role is both strategic and execution-focused: you will shape technical direction, mentor engineers, and contribute directly to the codebase to ensure system excellence and scalability. The ideal candidate is a strong systems thinker who thrives on solving complex problems at scale while fostering technical growth across the team.
- Lead the design, implementation, and delivery of large-scale, distributed software systems that enable customer insights and personalization in search and recommendations.
- Partner with ML/Platform and Data Science teams to bring ML models into customer-facing applications.
- Collaborate with Principal Engineer to define technical vision and architecture for key Discovery ML workflow and delivery systems, ensuring scalability, performance, and maintainability.
- Collaborate with cross-functional teams to translate business objectives into robust, scalable engineering solutions.
- Mentor and guide engineers across multiple levels, fostering technical growth and high-quality delivery.
- Drive initiatives that improve developer productivity, system observability, and operational excellence.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 12+ years of professional software engineering experience, with at least 2+ years in a Staff- or Principal-level technical leadership role.
- Proven success designing and delivering high-performance, distributed systems or large-scale workflows and services.
- Strong proficiency in one or more modern programming languages (e.g., Java, Kotlin, Python).
- Proficiency in Terraform and Jenkins.
- Deep understanding of system design, architecture patterns, and cloud-based deployment (AWS, GCP, or Azure).
- Experience integrating with or supporting ML pipelines, APIs, or data-driven applications.
- Demonstrated ability to drive cross-team technical initiatives and influence architectural decisions.
- Strong communication and collaboration skills, with the ability to partner effectively across engineering, product, and data science teams.
Bonus
- Experience in e-commerce or retail.
- Experience with modern MLOps.
- Exposure to front-end or product-facing integration of ML features.
- Experience with AWS Sagemaker and other ML platform tooling.
- Experience working with large distributed datasets and ML feature engineering.
- Prior experience mentoring and growing engineers into more senior technical roles.
- Advanced degree (MS or PhD) in Computer Science or related field.
The base salary range for this role is $166,000 - $265,000.00. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
Job Description
Our Opportunity: Machine learning platform insights are fundamental to the Chewy customer experience, and the Discovery team’s staff of machine learning experts is the driving force behind those insights in search and recommendations. The team is looking for a Staff Software Engineer to join the team as a senior technical leader to drive scalable, reliable, and high-impact software systems. As a Staff SWE, you will provide hands-on technical leadership across multiple initiatives: designing, building, and optimizing ML-driven distributed systems that power search, recommendations, and personalization on the Chewy website. You’ll collaborate closely with product engineering, machine learning, and data science teams to bring intelligence and automation into our marketing technology stack. This role is both strategic and execution-focused: you will shape technical direction, mentor engineers, and contribute directly to the codebase to ensure system excellence and scalability. The ideal candidate is a strong systems thinker who thrives on solving complex problems at scale while fostering technical growth across the team.
- Lead the design, implementation, and delivery of large-scale, distributed software systems that enable customer insights and personalization in search and recommendations.
- Partner with ML/Platform and Data Science teams to bring ML models into customer-facing applications.
- Collaborate with Principal Engineer to define technical vision and architecture for key Discovery ML workflow and delivery systems, ensuring scalability, performance, and maintainability.
- Collaborate with cross-functional teams to translate business objectives into robust, scalable engineering solutions.
- Mentor and guide engineers across multiple levels, fostering technical growth and high-quality delivery.
- Drive initiatives that improve developer productivity, system observability, and operational excellence.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 12+ years of professional software engineering experience, with at least 2+ years in a Staff- or Principal-level technical leadership role.
- Proven success designing and delivering high-performance, distributed systems or large-scale workflows and services.
- Strong proficiency in one or more modern programming languages (e.g., Java, Kotlin, Python).
- Proficiency in Terraform and Jenkins.
- Deep understanding of system design, architecture patterns, and cloud-based deployment (AWS, GCP, or Azure).
- Experience integrating with or supporting ML pipelines, APIs, or data-driven applications.
- Demonstrated ability to drive cross-team technical initiatives and influence architectural decisions.
- Strong communication and collaboration skills, with the ability to partner effectively across engineering, product, and data science teams.
Bonus
- Experience in e-commerce or retail.
- Experience with modern MLOps.
- Exposure to front-end or product-facing integration of ML features.
- Experience with AWS Sagemaker and other ML platform tooling.
- Experience working with large distributed datasets and ML feature engineering.
- Prior experience mentoring and growing engineers into more senior technical roles.
- Advanced degree (MS or PhD) in Computer Science or related field.
The base salary range for this role is $166,000 - $265,000.00. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
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Get Access To All JobsTips for Finding Mechanical Engineer Jobs at Chewy Jobs
Align your credentials to fulfillment automation
Chewy's Mechanical Engineer openings frequently center on conveyor systems, robotic picking equipment, and warehouse automation. Frame your resume around these systems specifically, not general product design, so your background maps directly to open requisitions.
Verify your OPT end date before applying
F-1 OPT has a fixed authorization window, and Chewy's hiring cycle for engineering roles can run several months. Calculate your remaining OPT duration before submitting, so you and the recruiter can align on whether an H-1B cap-season filing is required before your status expires.
Target roles tied to new fulfillment center projects
Chewy expands its distribution footprint regularly, and those buildouts generate concentrated Mechanical Engineer hiring. Tracking facility announcements in the press lets you apply when headcount is actively approved rather than competing for backfill positions with tighter timelines.
Prepare a degree equivalency statement early
If your engineering degree is from outside the United States, have a credential evaluation completed before your interview stage. USCIS requires this for H-1B petitions, and having it ready signals to Chewy's HR team that your sponsorship case is straightforward to file.
Ask about the PERM timeline during offer negotiation
Retail employers like Chewy sometimes initiate PERM labor certification alongside H-1B sponsorship for engineering roles. Clarifying whether Chewy starts Green Card processing concurrently, or only after a defined tenure, helps you assess long-term stability before accepting an offer.
Use Migrate Mate to filter for verified sponsorship roles
Not every Mechanical Engineer listing at Chewy will explicitly state visa sponsorship availability. Search Migrate Mate to surface roles at Chewy confirmed to support international candidates, so you spend application effort on positions where sponsorship is already part of the hiring plan.
Mechanical Engineer at Chewy jobs are hiring across the US. Find yours.
Find Mechanical Engineer at Chewy JobsFrequently Asked Questions
Does Chewy sponsor H-1B visas for Mechanical Engineers?
Yes, Chewy sponsors H-1B visas for Mechanical Engineers. The company has a consistent track record of supporting H-1B filings for engineering functions, particularly roles tied to fulfillment center operations and automation infrastructure. If you're applying during cap season, confirm with the recruiter early that the specific role is eligible for sponsorship before advancing through interviews.
How do I apply for Mechanical Engineer jobs at Chewy?
Applications go through Chewy's careers portal, where Mechanical Engineer roles are listed under Engineering or Operations. You can also browse verified sponsorship-eligible openings on Migrate Mate, which filters for positions at companies with active sponsorship histories. Tailor your application to Chewy's fulfillment and automation focus, and flag your visa status clearly in the application or early in recruiter conversations.
Which visa types does Chewy commonly use for Mechanical Engineer roles?
Chewy supports several visa categories for Mechanical Engineers, including H-1B for specialty occupation roles, F-1 OPT and CPT for recent graduates, TN visas for Canadian and Mexican citizens with qualifying engineering degrees, and EB-2 or EB-3 immigrant visa pathways for longer-term permanent residence sponsorship. The most applicable category depends on your citizenship, education, and how far along you are in your U.S. work authorization history.
What qualifications does Chewy expect for sponsored Mechanical Engineer positions?
Chewy typically looks for a bachelor's degree or higher in Mechanical Engineering or a closely related field, which also satisfies the specialty occupation requirement USCIS uses to evaluate H-1B petitions. Practical experience with industrial automation, material handling systems, or warehouse equipment strengthens your candidacy significantly. Roles supporting fulfillment center builds may also require familiarity with AutoCAD, SolidWorks, or similar design tools used in logistics environments.
How do I time my application around H-1B cap season if my OPT is expiring?
H-1B cap-subject petitions can only be filed once per year, with registration opening in March and employment starting October 1 at the earliest. If your OPT expires before October, you'll need a gap bridge, such as a STEM OPT extension if you qualify, or a cap-exempt employer as an interim step. Apply to Chewy no later than late fall or early winter of the year before you need the H-1B to start, so there's enough runway to complete the hiring process before the March registration window opens.
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