Software Engineer

Software Engineer, Bridge

Stripe

Who we are About Bridge We're creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster and cheaper vs. SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store, and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward. We have a small team of people who have previously built financial infrastructure at some of the world's leading companies (Coinbase, Stripe, Square, Brex, Upstart, DoorDash, Airbnb), and each and every one of them chose Bridge because they fundamentally believe that stablecoins will be a critical piece of financial infrastructure that allows for the improvement of global money movement. About the Role As an early member of the Bridge engineering team, you'll have the autonomy to work on projects that are truly global in scale and aim to give customers access to products they've never had access to. Many of the use cases that we work on today didn't exist several months ago, and that's because our team is dedicated to constant improvement for our partners and end users. Our engineers have outsized ownership over projects, so if you're looking for increased autonomy working on a completely greenfield opportunity, Bridge is the place for you. Responsibilities • Ship software to build out our suite of API products. We're an engineering and API-first company, and you'll learn first-hand and contribute towards building highly reliable, performant, and business-critical infrastructure serving thousands of developers across the globe. • Take sole ownership of projects, oftentimes without the support of Product Management, and liaise both internally with teams like Legal and Compliance and externally with our partners and developers. • Look for constant improvements to our product offerings with the explicit goal of improving the experience for our partners and end users. • Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation. • Improve engineering standards, tooling, and processes for the team and our broader org. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum Requirements • We're open to hiring engineers at various levels of seniority (SWE through Senior Staff), but at a minimum we're looking for somebody with 5+ years of experience. • Experience building backend systems with SQL databases. Experience with frameworks such as Rails, Django, Express, or equivalent is a bonus. • An enlarged sense of ownership and the ability to lead and influence the design and direction of our products • An ability to thrive in a fast-paced environment • A growth mindset, constant curiosity, and fearlessness to dive into the unknown • An ability to write maintainable, well-tested, modular code, but also be pragmatic about moving fast • Excellent written and verbal communication skills, including the ability to write clear technical documentation Preferred Qualifications • Past experience working on crypto or financial products a plus, and while not required, we do look for people who are very passionate about building in this space • Experience with building API products a plus, but not required • Experience working with blockchain or distributed systems a big plus

Software Engineer, Growth Data Platform

Omni

ABOUT OMNI Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack. Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B. WHAT YOU'LL DO * Build and scale the data platform that turns messy GTM signals into reliable, auditable workflows * Design queues, and workers for enrichment, routing, assignment, and activation * Integrate external data sources and APIs across CRM, sales engagement, ads, first and third party intent, and enrichment vendors * Work directly with various GTM teams to turn one-off experiments into reusable platform primitives * Debug production issues across Snowflake, dbt, Dagster, AWS, vendor APIs, webhooks, and downstream business systems WHAT WE'RE LOOKING FOR * 2+ years of experience building data platforms, backend systems, workflow engines, or data / ML infrastructure * Deep experience with analytical data systems such as Snowflake, Databricks, BigQuery, dbt, Spark, Airflow, Dagster, or similar tools * Track record of owning complex, end-to-end systems that serve real users or business-critical workflows * Clear judgment about data modeling, schema evolution, contracts, lineage, and long-term maintainability * You care whether the workflow actually works, whether customers trust it, and whether downstream teams can explain the output * Strong debugging instincts TECH STACK You are not expected to have experience with every tool listed below, but you should be excited to work across data infrastructure, backend services, and orchestration. * Snowflake as the warehouse and operational data store for modeled data, queues, workflow state, and activation outputs * dbt for transformation, data models, and tests * Dagster for orchestration of scheduled jobs, dependency-aware workflows, and operational retries * AWS Batch and Lambda for custom workers, vendor enrichment jobs, webhook handling, and stateful background processing * Fivetran * Python and SQL * Terraform and GitHub Actions * Soda * Omni LOCATION This role allows for a hybrid schedule in our SF headquarters. If you are based anywhere else in the US, the role is remote. WHY JOIN US * Passionate, close-knit team with extensive experience in the space, including founders from Looker and Stitch Data * Health, dental, and vision insurance * 401(k) Plan * Unlimited PTO Omni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.

Software Engineer - GenAI inference

Databricks

P-1284 ABOUT THIS ROLE As a software engineer for GenAI inference, you will help design, develop, and optimize the inference engine that powers Databricks’ Foundation Model API. You’ll work at the intersection of research and production, ensuring our large language model (LLM) serving systems are fast, scalable, and efficient. Your work will touch the full GenAI inference stack — from kernels and runtimes to orchestration and memory management. WHAT YOU WILL DO * Contribute to the design and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference * Collaborate with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine * Optimize for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators * Build and maintain instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations * Develop and enhance scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads * Support reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning * Integrate with federated, distributed inference infrastructure – orchestrate across nodes, balance load, handle communication overhead * Collaborate cross-functionally: with platform engineers, cloud infrastructure, and security/compliance teams * Document and share learnings, contributing to internal best practices and open-source efforts when possible WHAT WE LOOK FOR * BS/MS/PhD in Computer Science, or a related field * Strong software engineering background (3+ years or equivalent) in performance-critical systems * Solid understanding of ML inference internals: attention, MLPs, recurrent modules, quantization, sparse operations, etc. * Hands-on experience with CUDA, GPU programming, and key libraries (cuBLAS, cuDNN, NCCL, etc.) * Comfortable designing and operating distributed systems, including RPC frameworks, queuing, RPC batching, sharding, memory partitioning * Demonstrated ability to uncover and solve performance bottlenecks across layers (kernel, memory, networking, scheduler) * Experience building instrumentation, tracing, and profiling tools for ML models * Ability to work closely with ML researchers, translate novel model ideas into production systems * Ownership mindset and eagerness to dive deep into complex system challenges * Bonus: published research or open-source contributions in ML systems, inference optimization, or model serving     Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $142,200—$204,600 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.