Cashier at a new Tacos La Villa location in Shafter, responsible for customer service, order processing, and cash handling in a fast‑paced restaurant environment.
Compensation
Competitive hourly compensation ranges from $17.00 to $18.00 per hour based on experience and qualifications.
Responsibilities
Process customer orders accurately and efficiently using point-of-sale (POS) systems
Handle cash, credit card, and digital payment transactions with precision
Greet customers warmly and provide friendly, professional service throughout their visit
Maintain detailed knowledge of menu items, ingredients, and pricing to answer customer questions
Collaborate with kitchen staff to ensure timely order preparation and delivery
Requirements
High school diploma or equivalent
Nice to have: bilingual Spanish/English communication
Nice to have: experience with restaurant POS systems
Nice to have: food handler's certification or willingness to obtain
Nice to have: previous experience in Mexican cuisine or similar fast‑casual dining
Lead the infrastructure team running a VMware vSphere estate of more than 2,000 virtual machines across two disconnected DoD enclaves. Act as the technical lead for the program's virtualization engineers and system administrators.
Locations (2)
Chantilly, Virginia, United States
Ashburn, Virginia, United States
Compensation
Pay range: $166,000 to $194,000 per year for Chantilly, Virginia.
Responsibilities
Lead a team of virtualization engineers and system administrators: set priorities, assign and review work, and grow the team
Own the design and operation of vSphere 8 clusters, vCenter, vSAN and NSX across two enclaves
Plan and run the consolidation and right-sizing program: dormant VM disposition, memory and CPU right-sizing, and fewer active hosts
Plan the path from vSphere 8 to VMware Cloud Foundation 9
Chair infrastructure change control and report status, risks and capacity to the program manager
Delivery driver responsible for picking up, transporting, and delivering pizza and related products to customers while maintaining customer service standards.
Compensation
Delivery drivers with great customer service skills can earn $14 - $25 or more per hour including tips.
Responsibilities
Operate all equipment
Stock ingredients from delivery area to storage, work area, walk-in cooler
As a founding member of our Startup Events and Community team, you'll be the growth engine behind SpaceXSI for Startups, responsible for turning our startup strategy into high-impact programs that win the right early-stage companies, help founders get deeper value from SpaceXSI, and turn our strongest founder-users into advocates.
Compensation
Annual compensation range for this role is $180,000 - $220,000 USD
Responsibilities
Design the startup events playbook: Build and execute a data-driven marketing plan for the startup segment, focused on landing and growing usage within top Seed-Series B companies across YC and the broader ecosystem
Own the founder funnel and footprint: Deploy a mix of founder events, hackathons, executive/founder roundtables, and community activations to acquire the right startups and drive them toward meaningful success using SpaceXSI
Build ecosystem relationships: Partner with VCs, accelerators, and other startup partners to reach their portfolio founders through growth programs, content, and co-hosted moments. Help identify which partners are worth going deep with
Creativity: Fearlessly break the standard playbook by avoiding generic engagement formats - find out how founders actually build and gather and design around that
Founder advocacy: Surface and amplify founder/customer stories worth telling, and feature them in our events. Become a trusted partner and peer to the founders using SpaceXSI
SpaceXSI is looking for Research Scientists to drive effective RL or mid-training research in a small-team setting, owning ambiguous research problems end-to-end.
Compensation
The annual compensation range for this role is $220,000 - $357,000 USD
Responsibilities
Design and run rigorous experiments that turn research ideas into measurable gains in model capability
Improve data recipes through data quality, deduplication, and mixture experiments
Define what makes RL data and rewards good, including grader design and preventing reward hacking
Advance training science, from architecture and scaling experiments to post-training recipes for coding and computer-use agents
Build evals and targeted tasks that expose model weaknesses and guide where the team invests next
Requirements
MS or PhD in CS, ML, math, physics or a related field, or equivalent research experience
CashierNewTacos La Villa · Shafter, US
CaregiverNewKisco Senior Living · US
Infrastructure Lead (VMware vSphere)NewZaden Tech · Chantilly, US+1 more
Retail Sales Floor LeaderNewGopuff · Albany, US
Warehouse AssociateNewcorporatehcm · Groveport, US
Startup Events & CommunityNewCursor · San Francisco, US