Senior Software Engineer - Optimization

Published: 1 month ago
Avatar for rideOS

rideOS

Cutting-edge routing and marketplace cloud services built for autonomous vehicles

Job Location

Job Type

Full Time

Visa Sponsorship

Not Available

Relocation

Allowed

The Role

Who We Are

rideOS is a wholly owned and operated subsidiary of Gopuff. We are responsible for driving innovation in Gopuff’s delivery optimization, fulfillment center operations, and other strategic initiatives. Collectively, our goal is to accelerate Gopuff’s mission to make daily life effortless.

As pioneers and industry-leaders of the "Instant Needs" category, Gopuff is the go-to solution for consumer’s immediate everyday needs, aiming to complete all deliveries within 30 minutes. Gopuff makes delivering grocery, home, baby & pet essentials and over-the-counter medications easy and affordable for everyone.

The Opportunity

We are looking for a backend engineer who is passionate about developing optimization algorithms for the next generation of transport. You will be collaborating with other engineers to design optimization models for problems such as vehicle routing and scheduling, and build end-to-end solutions that can provide the most optimal solutions in real-time. A part of your job will be to keep up to date with the state of art in the solution optimization and meta heuristics for local search. As part of the team you will also be expected to participate/lead discussions on new research papers within the optimization field.

As part of a high-growth startup, you will also have the opportunity to collaborate closely with company product leaders, partners, and non-engineering parts of the business. Every member of our organization plays a critical role in shaping the future of our services, team, and culture.

What We Are Looking For:

  • A BS/MS/PhD degree in Computer Science, Operations Research or equivalent
  • 5+ Years of experience in the industry
  • Experience applying optimization in industry-related applications
  • Experience with stochastic and dynamic optimization techniques
  • Experience building production-ready implementations using various optimization techniques (e.g. convex and linear programming, approximate dynamic programming, metaheuristics)
  • Proficient in Java or C++
  • Passion for mobility or next generation transport
  • A strong desire to learn, collaborate and mentor
  • Monitoring the health of our services and bug fixing
  • Located or willing to commute to San Francisco

Nice-to-have:

  • Advanced degree in quantitative field
  • Experience in the mobility, ride-sharing, or autonomous driving industry

We Provide:

  • Equity in a well-funded ($3.4b), rapidly-growing startup (Gopuff)
  • Top tier medical, dental, and vision insurance
  • Life insurance policy
  • Flexible PTO - We trust employees to manage their time off, most people take around 20 vacation days per year
  • Flexible working from home policy, especially for folks with families or commuters
  • Lunch provided 3 days a week
  • Tax savings from 401K, FSA
  • Investment in health and wellness - we reimburse $80 per month for fitness/gym memberships

At rideOS, we place a strong emphasis on our culture, diversity, and employee wellbeing. We are proud to maintain our small startup hustle while also enjoying the benefits and excitement of Gopuff’s hypergrowth. Come join us to be a part of accelerating our collective mission. rideOS is an e-verified company.

More about rideOS

Perks and Benefits

Healthcare benefits
Healthcare benefits
Generous vacation
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Funding

AMOUNT RAISED
$34M
FUNDED OVER
2 rounds
Rounds
B
$25,000,000
Series B Aug 2018
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Founders

Chris Blumenberg
Founder • 3 years
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Justin Ho
Founder • 3 years
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Go to team image

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