"optimization" Jobs

762 open tech roles matching “optimization”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, AWS. Every listing is re-checked daily and closed roles are removed.

Showing 20 of 762 results

Okta

Join Okta as a Staff Product Analyst to optimize and support Revenue Recognition and Order-to-Cash processes in a dynamic environment.

Okta San Francisco, California $148k–$203.5k/yr Published 2 months ago
Flexible on stack
Ambiq

Join Ambiq as a Staff Power Validation Engineer to lead power validation strategies for ultra-low-power SoCs in a collaborative environment.

Ambiq Austin, Texas, United States Published 1 month ago
Flexible on stack
Reflection AI

Build and scale distributed training systems for frontier model pre-training at Reflection AI.

Reflection AI San Francisco, CA Published 5 months ago
Flexible on stack
LaunchDarkly

Design and build the next generation platform for user interactions at LaunchDarkly, focusing on operational excellence and mentoring engineers.

LaunchDarkly Remote - US $214.8k–$295.4k/yr Published 3 weeks ago
Flexible on stack
Anthropic

Join Anthropic as a Staff Software Engineer to build next-generation observability systems for large-scale AI infrastructure.

Anthropic London, UK £325k–£390k/yr Published 1 week ago
Flexible on stack
GoodLeap

Join GoodLeap as a Staff Software Engineer to design and scale innovative solutions in a fast-paced environment.

GoodLeap San Francisco, CA Published 4 days ago
Profound

Join Profound as a Full Stack Engineer to build high-performance applications that power AI-driven insights.

Profound New York, New York $175k–$260k/yr Published 1 year ago
Flexible on stack
Outreach.io

Join Outreach as a Staff Applied Scientist to leverage data for optimizing customer engagement workflows.

Outreach.io Hyderabad Published 2 months ago
Honor

Join Honor as a Staff Data Scientist to leverage data and AI in transforming aging care for older adults.

Honor Remote Position $194.4k–$216k/yr Published 4 months ago
Flexible on stack AI-first team
MaintainX

Own the LLMX roadmap as a Staff Product Manager at MaintainX, driving AI platform adoption and quality in a hybrid role.

MaintainX San Francisco Published 3 months ago
Stuut

Join Stuut as a Member of the Technical Staff to design and deploy AI-powered systems for financial operations.

Stuut San Francisco Published 1 month ago
Flexible on stack
MaintainX

Own the LLMX roadmap as a Staff Product Manager at MaintainX, driving AI platform adoption and quality.

MaintainX Toronto Published 1 month ago
Fastly

Join Fastly as a Staff Engineer to enhance and optimize edge protocols for a faster and more secure Internet.

Fastly Denver, CO; New York City, NY; San Francisco, CA $211.4k–$253.6k/yr Published 2 months ago
Flexible on stack
Perplexity

Design and improve the storage platform for Perplexity's products and AI workloads, ensuring reliability and performance.

Perplexity San Francisco Published 3 months ago
Flexible on stack
Robinhood

Join Robinhood as a Staff Web Engineer to lead performance initiatives for a cutting-edge trading platform.

Robinhood Menlo Park, CA; New York, NY $230k–$270k/yr Published 2 months ago
Flexible on stack 60% coding
OfferUp

Join OfferUp as a Staff Software Engineer to lead technical direction and build impactful features for our business platform.

OfferUp Bellevue, WA or Remote Florida $210k–$240k/yr Published 3 months ago
Flexible on stack
Finch

Join Finch as a Member of Technical Staff to build AI-powered systems that enhance personal injury law processes.

Finch New York City $180k–$280k/yr Published 1 month ago
Flexible on stack 70% coding
TollBit

Join TollBit as a Staff Engineer to design and maintain scalable backend systems in a remote-first, innovative AI infrastructure team.

TollBit Remote $150k–$200k/yr Published 1 year ago
Flexible on stack
Preference Model

Join Preference Model as a Research Engineer to advance self-directed learning in large language models within a fast-paced startup.

Preference Model San Francisco, United States Published 1 day ago
Flexible on stack