Estimation Engineer Jobs
Estimation Engineer jobs are open across construction, manufacturing, defense, energy, and infrastructure, from entry-level to senior and lead, with specializations in cost estimating, bid preparation, and quantity takeoffs. Scan the live roles below and apply to whichever ones fit.
Find Estimation Engineer JobsOverview
Showing 5 of 30+ Estimation Engineer jobs
About the Team
DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you!
About the Role
We're hiring a State Estimation & Perception Engineer in our Autonomy Software team. In this role, you'll own and develop the perception and state estimation for our package pickup and delivery system. You'll influence system design decisions, including sensor selection, sensing architecture, and observability analysis, at the earliest stage when choices still matter.
You're excited about this opportunity because you will…
- Play an integral role on a small and focused team
- Own tuning and implementation of the state estimation stack on the drone (PX4 EKF modifications, fault tolerance, multi-sensor fusion with VIO and laser odometry)
- Own state estimation and perception of the delivery mechanism, including dynamics modeling, observation model design, and sensor selection
- Work closely with controls and planning to close the loop on automated pickup and delivery
- Work closely with the hardware team to define sensing principles and sensor placement
- Design and execute flight test campaigns to validate estimator performance
- Identify and resolve failure modes in estimation (degenerate geometries, sensor dropout, initialization)
We're excited about you because…
- You have deep experience with state estimation and filtering (EKF, UKF, MSCKF, particle filters)
- You have experience with optimization-based methods (factor graphs, GTSAM, Ceres, SymForce)
- You have experience with visual-inertial odometry (VIO) and/or laser odometry (LIO)
- You're proficient in modern computer vision (feature extraction, tracking, depth estimation)
- You have strong C++ and/or Rust skills, with Python for prototyping and analysis
- You have experience deploying estimation on real hardware with real sensor noise
- You can derive an EKF from scratch, including process model, measurement model, observability analysis, and consistency checks
- You have deep linear algebra knowledge (matrix decompositions, sparsity exploitation, numerical conditioning)
- You've closed a perception-to-control loop on real hardware under degraded conditions
- You're comfortable operating at the intersection of theory and embedded reality
- You're driven by a passion for delivering outstanding customer experiences
- You have a proactive approach to development, often crafting new tools
- MS/PhD degree in CS, EE, ME, Robotics, or related technical field
Nice to have experience includes
- Experience with PX4 / ArduPilot EKF internals
- Experience with multi-body state estimation (tethered or suspended payloads)
- Familiarity with SLAM in GPS-denied environments
- Publications or open-source contributions in state estimation or VIO
- You've debugged estimator failures in the field, not just in simulation
Applications for this position are accepted on an ongoing basis
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Our Commitment to Diversity and Inclusion
We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.
About the Team
DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you!
About the Role
We're hiring a State Estimation & Perception Engineer in our Autonomy Software team. In this role, you'll own and develop the perception and state estimation for our package pickup and delivery system. You'll influence system design decisions, including sensor selection, sensing architecture, and observability analysis, at the earliest stage when choices still matter.
You're excited about this opportunity because you will…
- Play an integral role on a small and focused team
- Own tuning and implementation of the state estimation stack on the drone (PX4 EKF modifications, fault tolerance, multi-sensor fusion with VIO and laser odometry)
- Own state estimation and perception of the delivery mechanism, including dynamics modeling, observation model design, and sensor selection
- Work closely with controls and planning to close the loop on automated pickup and delivery
- Work closely with the hardware team to define sensing principles and sensor placement
- Design and execute flight test campaigns to validate estimator performance
- Identify and resolve failure modes in estimation (degenerate geometries, sensor dropout, initialization)
We're excited about you because…
- You have deep experience with state estimation and filtering (EKF, UKF, MSCKF, particle filters)
- You have experience with optimization-based methods (factor graphs, GTSAM, Ceres, SymForce)
- You have experience with visual-inertial odometry (VIO) and/or laser odometry (LIO)
- You're proficient in modern computer vision (feature extraction, tracking, depth estimation)
- You have strong C++ and/or Rust skills, with Python for prototyping and analysis
- You have experience deploying estimation on real hardware with real sensor noise
- You can derive an EKF from scratch, including process model, measurement model, observability analysis, and consistency checks
- You have deep linear algebra knowledge (matrix decompositions, sparsity exploitation, numerical conditioning)
- You've closed a perception-to-control loop on real hardware under degraded conditions
- You're comfortable operating at the intersection of theory and embedded reality
- You're driven by a passion for delivering outstanding customer experiences
- You have a proactive approach to development, often crafting new tools
- MS/PhD degree in CS, EE, ME, Robotics, or related technical field
Nice to have experience includes
- Experience with PX4 / ArduPilot EKF internals
- Experience with multi-body state estimation (tethered or suspended payloads)
- Familiarity with SLAM in GPS-denied environments
- Publications or open-source contributions in state estimation or VIO
- You've debugged estimator failures in the field, not just in simulation
Applications for this position are accepted on an ongoing basis
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Our Commitment to Diversity and Inclusion
We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.
See All 30 Estimation Engineer Jobs
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Find Estimation Engineer JobsEstimation Engineer Job Market
Who's Hiring
Top Industries Hiring
- Automotive
- Electronics & Hardware
- Banking & Financial Services
- Technology & Software
- Aerospace & Defense
What Employers Look For
The qualifications that appear most often in estimation engineer jobs.
- Bachelor's degree in construction management, engineering, or a related technical field
- Proficiency in estimating software such as Bluebeam, PlanSwift, or On-Screen Takeoff
- Three to five years of experience preparing cost estimates for construction or industrial projects
- Familiarity with RSMeans, Dodge, or similar cost databases for unit pricing
- Ability to read and interpret architectural, structural, and MEP drawings and specifications
- Experience with bid preparation, subcontractor solicitation, and proposal writing
Tips for Your Estimation Engineer Job Search
Tailor your resume to bid types
Estimation engineers get screened on the types of bids they've owned, so your resume should specify whether you've worked on hard-bid, negotiated, or design-build projects. Vague language like 'prepared estimates' won't stand out the way project-type specifics do.
List your estimating software by name
Employers filter resumes by software proficiency. Name every platform you've used, including takeoff tools, cost databases, and project management systems. If you've estimated in multiple sectors, group your tools by industry so hiring managers can match you to the right opening.
Apply early to roles that fit
Migrate Mate lists estimation engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by project scale
Some estimation engineers work on small commercial tenant improvements while others price industrial megaprojects. Filter openings by the company's typical contract size or project type so you're not applying to roles where your experience is a poor match for scope.
Prepare a sample estimate for interviews
Many estimation engineer interviews include a live takeoff exercise or a request to walk through a past estimate. Have a sanitized, anonymized example ready that shows your methodology, assumptions, and how you handled scope gaps or value-engineering requests from the client.
Negotiate on project bonuses, not just base
Estimation engineer offers often include project-award bonuses tied to successfully won bids. When negotiating, ask how bonus eligibility is structured, which projects qualify, and how payout timing works, since those terms vary widely and affect your total compensation.
Estimation Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most estimation engineers?
General Motors, Anduril, and Northrop Grumman are hiring the most estimation engineers right now, with openings concentrated in California, Ohio, and Maryland, based on current listings on Migrate Mate as of November 2026. Activity tends to cluster around large contractors, engineering firms, and government-funded infrastructure programs.
How many estimation engineer jobs are remote?
About 58% of estimation engineer openings are fully remote or hybrid as of November 2026, with remote work most common in cost consulting, software-driven quantity surveying, and pre-construction roles that don't require regular site visits. Field-dependent positions at general contractors tend to stay on-site or regionally bound.
How do you become an estimation engineer?
Start by completing a degree in construction management, civil engineering, mechanical engineering, or a closely related field. Build hands-on experience through internships or entry-level roles in cost control, project management, or field work, since estimating draws heavily on knowing how work actually gets built. Learn industry-standard takeoff and cost-database tools, then pursue certifications from professional associations such as the Association for the Advancement of Cost Engineering to signal credibility to employers.
Can you get an estimation engineer job with little experience?
Yes, entry-level estimation engineer roles exist, particularly at mid-size contractors and specialty subcontractors willing to train candidates with the right technical foundation. A degree in a construction or engineering discipline gets you in the door, but what moves your application forward is demonstrating that you understand how estimates translate to field execution. Internship experience, familiarity with takeoff software, and any exposure to reading drawings all help close the gap against more seasoned candidates.
What does the estimation engineer interview process look like?
Most estimation engineer interviews run two to three rounds. The first is typically a phone or video screen covering your background, project types, and software proficiency. A technical round often follows, where you may be asked to perform a live takeoff, walk through a past estimate, or explain how you handle scope gaps and subcontractor pricing. Final rounds usually involve meeting project management leadership and sometimes a discussion of how you approach bid strategy or value engineering.
Where can I find and apply to estimation engineer jobs?
You can find and apply to estimation engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the roles available, find the ones that match your experience and project-type background, and apply directly to each listing that fits.
See All 30 Estimation Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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