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Best Bev Jobs (NOW HIRING)

Benchmark

$13.25 - $16.25/hr

From being named among the best places to work by respected publications such as USA Today, The Boston Globe, and The Houston Chronicle to earning top travel accolades from Travel + Leisure, Conde ...

Bread and Butter Bakery

Shift Leader

Covington, GA · On-site

$10 - $13/hr

At Bread & Butter, our drive-thru is fast, fun, and full of regulars who expect the best. As Shift ... You've worked in food/bev or a fast-paced service environment before -- café, bakery, or drive ...

Relay

Director of Sales - Segment Leader

Raleigh, NC · On-site

The Relay Culture: We're dedicated to helping you do the best work of your life (BWIML), investing ... Food & Bev, and Logistics) or a "General" industrial category Reporting to the VP of Sales, you ...

Relay

Director of Sales - Segment Leader

Raleigh, NC · On-site

The Relay Culture: We're dedicated to helping you do the best work of your life (BWIML), investing ... Food & Bev, and Logistics) or a "General" industrial category Reporting to the VP of Sales, you ...

Target Brands, Inc.

GM Food & Bev Team Leader

Prescott, AZ · On-site

$21 - $35.70/hr

Plan, manage, assess and validate best practices to determine operational opportunities. * Assign daily tasks to team members based on planned workload and guest traffic patterns, ensuring alignment ...

Barrio

Be Seen First

Assistant Kitchen Manager

Kent, OH · On-site

$51K - $57K/yr

... and best practices book * Leads by example in following standards and policies and meeting ... Reviews Ops and Bev notes weekly, initials once read and takes action when necessary * Participates ...

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Best Bev information

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$100K

$368.2K

$400K

How much do best bev jobs pay per year?

As of Aug 8, 2026, the average yearly pay for best bev in the United States is $368,164.00, according to ZipRecruiter salary data. Most workers in this role earn between $374,000.00 and $400,000.00 per year, depending on experience, location, and employer.

What is the difference between Best Bev vs Bartender?

AspectBest BevBartender
Required CredentialsFood handler permit, alcohol service certificationFood handler permit, alcohol service certification
Work EnvironmentBars, restaurants, eventsBars, restaurants, clubs
Industry UsageJob title for beverage specialists or serversPosition for mixing and serving drinks
Search & Comparison IntentLooking for beverage service rolesLooking for drink preparation roles

Best Bev and Bartender roles often require similar certifications and are used interchangeably in the hospitality industry. While Best Bev may refer broadly to beverage service positions, Bartender specifically emphasizes drink mixing and customer interaction. Both roles are vital in bars and restaurants, but Best Bev may encompass a wider range of beverage-related tasks.

What are the key skills and qualifications needed to thrive as a beverage manager, and why are they important?

To thrive as a Beverage Manager, you need strong knowledge of beverage trends, inventory management, and hospitality operations, typically supported by experience in the food and beverage industry. Familiarity with point-of-sale (POS) systems, beverage costing software, and relevant certifications like ServSafe Alcohol are often required. Leadership, customer service orientation, and multitasking abilities help you excel in this role. These skills ensure efficient beverage service, regulatory compliance, and positive guest experiences that drive business success.

What is a best bev?

Best Bev is a beverage manufacturing and co-packing company that specializes in producing and packaging a wide range of drinks, including alcoholic and non-alcoholic beverages. They help brands bring their beverage ideas to market by handling the formulation, production, and packaging processes. Best Bev offers services such as canning, bottling, and logistics support, making it easier for beverage brands to scale their operations. Their expertise and facilities allow both startups and established companies to efficiently create high-quality drinks.

What are some common challenges faced by employees working at best bev, and how can they be overcome?

Employees at Best Bev, a beverage manufacturing and distribution company, often encounter challenges such as managing tight production schedules, maintaining quality standards under pressure, and coordinating with cross-functional teams. Effective communication and strong organizational skills are key to overcoming these obstacles. Additionally, embracing a collaborative mindset and proactively seeking feedback from colleagues and supervisors can help ensure smooth operations and professional growth within the company.
More about Best Bev jobs
What cities are hiring for Best Bev jobs? Cities with the most Best Bev job openings:
What states have the most Best Bev jobs? States with the most job openings for Best Bev jobs include:
What job categories do people searching Best Bev jobs look for? The top searched job categories for Best Bev jobs are:
Best Bev jobs near you
Infographic showing various Best Bev job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 100% In-person job distribution, with an average salary of $368,164 per year, or $177 per hour.

Senior Radar Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles

Nvidia Corporation

Santa Clara, CA • On-site

$126K - $164K/yr

Full-time

Posted 24 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Intelligent machines powered by artificial intelligence-computers that can learn, reason, and interact with people-are transforming every industry. GPU-accelerated deep learning provides the foundation for machines to perceive, reason, and solve complex problems. NVIDIA GPUs run deep learning algorithms that simulate aspects of human intelligence, acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
We are seeking an exceptional Senior Radar Perception Engineer to help design and productize NVIDIA's next-generation autonomous driving perception stack. You will work on the core 3D radar and multi-modal obstacle perception pipeline, contribute to architecture and algorithm design, and remain deeply hands-on with implementation, including modern transformer-based, radar-centric foundation models, and multi-sensor fusion techniques where they add real value.
What you'll be doing:
  • Architecture & Roadmap: Develop and improve the technical design, architecture, and roadmap for radar-based 3D obstacle perception to support end-to-end autonomous driving functionalities, leveraging state-of-the-art DNN and transformer-based architectures.
  • Radar Perception Innovation: Conduct applied research on deep learning models to maximize the information content of radar point cloud data at every representation level. Tackle radar perception's hardest problems: low and non-uniform angular resolution, multipath and ghost targets, micro-doppler signatures for small targets, and severe class imbalance. Explore weakly-supervised pretraining and improve radar perception via large auto-labeled datasets.
  • Model Design & Fusion: Design and implement advanced 3D perception models utilizing radar inputs (ranging from low-level range-doppler/azimuth-elevation maps to sparse/dense point clouds) and multi-sensor fusion (camera, radar, lidar) for obstacle detection, tracking, and Bird's-Eye-View (BEV) scene understanding.
  • Sensor & Stack Integration: Drive radar sensor evaluation, selection, and layout optimization to support L2-L4 autonomous driving applications, ensuring seamless multi-sensor fusion.
  • Production Deep Learning: Build efficient, production-grade deep learning models: define objectives with the team, select and prototype architectures, run experiments, and follow best practices for training and evaluation, using techniques such as large-scale radar pretraining, cross-modal distillation (e.g., lidar-to-radar), and parameter-efficient fine-tuning (e.g., LoRA).
  • KPIs & Error Analysis: Help define and maintain KPI frameworks to quantify radar perception performance; analyze large-scale real and synthetic datasets to identify failure modes unique to radar (e.g., multipath reflections, clutter, ghost objects) and systematically improve accuracy, robustness, and efficiency.
  • Data Strategy & Auto-Labeling: Contribute to the data strategy for radar perception: specify data and labeling requirements, help prioritize data collection and annotation, and collaborate with data and ground-truth teams, incorporating model-assisted workflows (e.g., active learning, automated radar labeling via lidar/camera foundation models) and model-in-the-loop tooling.
  • Cross-Functional Productization: Collaborate with safety, systems, and software teams to ensure radar perception solutions meet product requirements for safety, low latency, resource usage, and software robustness, and are ready for deployment at scale.

What we need to see:
  • Industry Experience: 12+ years of hands-on experience developing deep learning-based perception, radar signal processing, or closely related systems for complex real-world problems, with strong proficiency in frameworks such as PyTorch and a track record of taking models from prototype to production.
  • Data-Driven Workflows: Proven experience in data-driven development, including close collaboration with data, labeling, and ground-truth teams on radar data strategy, labeling quality, and iterative model improvement.
  • Software Engineering: Strong programming skills in Python and/or C++, with experience building reliable, high-performance, production-quality software.
  • Collaboration: Excellent communication and collaboration skills, with the ability to work effectively across multidisciplinary teams spanning AI, hardware, and safety engineering.
  • Education: BS/MS/PhD in Computer Science, Electrical Engineering, Robotics, or related fields (or equivalent experience).

Ways to stand out from the crowd:
  • Radar & Multi-Modal Scale: Experience designing and deploying radar-based or multi-modal perception solutions for autonomous driving or robotics using deep learning at scale.
  • Embedded Optimization: Hands-on experience architecting and deploying DNN-based perception pipelines on embedded or real-time platforms, including optimization for latency, memory, and compute constraints, and familiarity with modern architectures (e.g., Transformers, BEV networks).
  • Signal Processing Depth: Deep understanding of radar physics and digital signal processing fundamentals (FMCW, beamforming, CFAR, micro-Doppler) and how to cleanly interface traditional signal processing outputs with downstream deep learning models.
  • Academic/Research Track Record: Strong publication record or recognized contributions in deep learning, radar perception, multi-sensor fusion, or autonomous systems at leading conferences/journals (e.g., CVPR, ICCV, NeurIPS, IROS).
  • GPU Acceleration: Experience with CUDA development and optimizing training or inference pipelines through custom CUDA kernels or other GPU-accelerated components to handle high-bandwidth raw radar or tensor data.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 19, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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