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Lance Snacks Jobs (NOW HIRING)

The Campbell?s Company

Material Handler

Houston, TX

$16 - $19.25/hr

In our Snacks division, we have brands like Cape Cod, Goldfish, Kettle Brand, Lance, Late July, Pepperidge Farm, Snack Factory, and Snyder?s of Hanover.We foster a culture of belonging where people ...

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What is a Lance Snacks job?

A Lance Snacks job typically involves roles in manufacturing, distribution, sales, or merchandising for the popular snack brand. Employees may work in production facilities, warehouses, or as route sales representatives delivering products to retailers. Responsibilities vary by position but often include stocking, customer service, and ensuring product quality.

What are the key skills and qualifications needed to thrive in the Lance Snacks position, and why are they important?

To thrive as a route sales representative at Lance Snacks, you need strong sales acumen, a valid driver’s license, and experience in merchandising or route delivery roles. Familiarity with handheld inventory management devices and knowledge of delivery logistics software are often required. Excellent customer service, time management, and problem-solving skills help build strong client relationships and handle day-to-day challenges. These abilities are essential for maximizing sales, maintaining efficient routes, and ensuring customer satisfaction in a competitive snack distribution market.

What does a typical workday look like for a route sales representative at Lance Snacks?

A typical day for a Lance Snacks route sales representative involves loading your vehicle with products, planning your delivery route, and making scheduled stops at various retail locations. You’ll be responsible for merchandising products on shelves, monitoring inventory, taking orders, and building strong relationships with store managers and staff. The role requires significant independence, as you’ll manage your own territory and time, but you’ll also collaborate closely with your supervisor and other route reps to achieve sales goals. Challenges can include navigating traffic, maintaining accurate logs, and occasionally resolving customer concerns, but the position offers opportunities to increase earnings through sales performance and to advance into supervisory or management roles.
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Lance Snacks jobs near you
Infographic showing various Lance Snacks job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 65% Physical, 34% Hybrid, and 1% Remote job distribution.

Senior Staff AI Data Infrastructure Engineer

XPENG

Santa Clara, CA

$127.40K - $173.20K/yr

Other

Posted 4 days ago

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
 
As a core member of our AI Infrastructure team, you will work at the intersection of Autonomous Driving and Foundation Models. We don't just process EB-scale perception data from tens of thousands of production vehicles; we are building the high-performance Data Engine that powers our next-generation AI. Your work will directly determine how our self-driving systems "learn" from massive datasets and define the cognitive ceiling of multi-modal models in the physical world.
 
Key Responsibilities
  • Scalable Data Pipelines: Architect and build scalable, end-to-end pipelines to automate the ingestion, cleaning, and processing of PB-scale raw data for both production autonomy and multi-modal LLMs.
  • Modern Lakehouse Architecture: Evolve our data storage solutions based on Apache Iceberg and Lance to implement efficient semantic indexing, metadata management, and data versioning.
  • Training Throughput Optimization: Deeply optimize data loading and pre-fetching strategies to ensure maximum throughput for large-scale training on 10,000+ GPU clusters.
  • Infrastructure Evolution: Support the seamless transition of foundation model data into actionable training sets, bridging the gap between raw vehicle logs and model-ready tokens.
 
Basic Qualifications
  • Engineering Excellence: BS/MS/PhD in Computer Science or a related field, with a proven track record of building large-scale distributed systems.
  • Work Experience: 5-8 + years of industry experience.
  • Programming Mastery: Proficient in Python, C++, or Java, with a deep understanding of high-performance concurrent programming and systems design.
  • Distributed Frameworks: Hands-on experience with at least one distributed processing framework, such as Ray and Spark.
  • Lakehouse Expertise: Familiarity with Data Lakehouse concepts and practical experience with technologies like Iceberg and Lance.
 
Preferred Qualifications
  • Experience building data warehouses for Trillion-token datasets or PB-scale multi-modal data.
  • Deep understanding of data access patterns in deep learning frameworks like PyTorch, DeepSpeed, or Megatron.
  • Practical experience with Vector Databases, automated labeling toolchains, or data-centric AI workflows.
  • Knowledge of storage formats optimized for AI (e.g., Parquet, Lance) and high-performance file systems.
What do we provide:
  • A fun, supportive and engaging environment.
  • Infrastructures and computational resources to support your work.
  • Opportunity to work on cutting edge technologies with the top talents in the field.
  • Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.
 
The base salary range for this full-time position is $203,450-$344,300, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
 
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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